1) 58% of Medicare payments in 2013 were tied to fee-for-service models, while collective challenges going forward will be gauging payment reform progress and its effects on quality and value of care.
2) Since 2011, hospital-acquired conditions have fallen by 17% saving $12 billion and 50,000 lives, representing progress in quality and efficient spending.
3) The Medicare 30-day readmission rate fell to 17.5% in 2013 translating to 150,000 fewer readmissions, showing impact of initiatives to reduce unnecessary readmissions.
We spent time collecting healthcare factoids that show key trends driving the need for data in healthcare. And now, we’ve put it into an easy-to-view, shareable, memorable presentation to use as you see fit. You can use these factoids to help you make a case for reducing healthcare waste or get pointers for your next IT project. You can even use a few of them to predict the future of healthcare.
The 6 Critical Components of Population HealthHealth Catalyst
This article examines how to define population health through a review of the top analytics research firms. It lands on a single theme, but in the process it uncovers six common categories of IT capabilities required to successfully manage population health:
Data Aggregation
Patient Stratification
Care Coordination
Patient Engagement
Performance Reporting
Administrative/Business
These six strategic components define the population health ecosystem, and successful organizations must multitask across these domains, working with an enterprise data warehouse, if they hope to thrive in value-based healthcare and become true partners and assets in their respective communities.
Predictions, Hopes and Aspirations for U.S. Healthcare in 2015Health Catalyst
Predicting events in healthcare, especially year to year, is incredibly easy because healthcare advances at a glacial rate. Any significant changes that do happen in a year are rare. The IRS and public education may be the only other institutions that move at such a creeping, crawling, reluctant pace. But that's not to say predictions aren't worth trying. And lately, there have been some interesting developments for the healthcare industry that could mean some intriguing change is finally coming our way.
Please join Dale Sanders as he makes his predictions for 2015, some serious, some irreverent, and some simply hopeful aspirations, but all thought provoking and worthy of discussion. Unlike his past webinars where he does all the talking, this time Dale wants to hear from you. So, we'll be opening up the audio lines to give you the opportunity to share your thoughts and votes on Dale's predictions, and share your own predictions for 2015 and beyond, too.
The discussion will cover the following, and more:
The barriers that stand in the way of significant year-to-year changes in US healthcare
The pending Supreme Court decision on state-level insurance subsidies
Mergers & Acquisitions
The looming reality of hidden patient costs from narrow insurance plans
Why the future of healthcare lies in the hands of physicians and patients, not hospitals and insurance companies
And in a less obvious twist, discover how the Denver Broncos will win the next five Super Bowls using spliced genetics.
It's always fun to look ahead and try to predict what might or might not happen. Come prepared to share your opinions,vote on Dale's predictions, and join in for a candid and lively conversation.
Analytics and Small Hospitals: Embracing Data to Thrive in the New Era of Val...Health Catalyst
Value-based care has remade the healthcare landscape for small hospitals. Many are struggling to compete with the larger, better-funded medical centers in the communities they serve. Embracing data and analytics is no longer a luxury for these organizations if they are to succeed and remain competitive. Data analysis can assist senior leaders in identifying opportunities for improvement while balancing long-term goals with short-term pressures. Incorporating data in to the culture and making it a part of everyday decision making will enable smaller hospitals to not only survive, but thrive in the new era of value-based care.
Two-Midnight Rule: Ready For the Clock to Strike 12?Health Catalyst
CMS’s proposed changes to the controversial two-midnight rule that governs short hospital stays, has been met with strong opposition by the healthcare community. While the core of the rule is fairly straightforward, implementation could be anything but. Being classified as an outpatient or inpatient can have a substantial financial impact the patient and the hospital. Adding to the confusion, CMS has also stated this policy won’t override a physician’s judgment. Unfortunately, CMS failed to provide details on what the physician must provide in order to justify their decision. The good news is there is still time to provide feedback to CMS. Take action, understand the new rules, let your voice be heard, and most importantly, be prepared for the new rule in 2016.
Partners’ Care Management Strategy: A 10-Year JourneyHealth Catalyst
Chronic diseases are responsible for seven out of 10 deaths each year, killing more than 1.7 million Americans annually. Additionally, 133 million Americans—approximately 45 percent of the population—have at least one chronic disease. Partners HealthCare believes that chronically ill patients with multiple medical conditions often need the most help coordinating their care, which is why this well-respected health system has spent the last 10 years perfecting an integrated care management program (iCMP).
Key elements of the iCMP at Partners include access to specialized resources (e.g., mental health, palliative care), involvement through the continuum of care, patient self-management, IT-enabled systems to improve care coordination, data-driven analytics to support strategic decision making, a payer-blind approach, and ongoing support and training for its teams and staff.
Attendees will learn how to:
Identify the essential elements of an effective care management program for chronically ill patients
Recognize how care management plays a key role in an effective population health management strategy
Determine how to use information to identify and effectively manage complex, chronically ill patients
The Top Seven Analytics-Driven Approaches for Reducing Diagnostic Error and I...Health Catalyst
From a wrong diagnosis to a delayed one, diagnostic error is a growing concern in the industry. Diagnostic error consequences are severe—they are responsible for 17 percent of preventable deaths (according to a Harvard Medical Practice study) and account for the highest portion of total payments (32.5 percent), according to a 1986-2010 analysis of malpractice claims. Patient safety depends heavily on getting the diagnosis right the first time.
Health systems know reducing diagnostic error to improve patient safety is a top priority, but knowing where to start is a challenge. Systems can start by implementing the top seven analytics-driven approaches for reducing diagnostic error:
Use KPA to Target Improvement Areas
Always Consider Delayed Diagnosis
Diagnose Earlier Using Data
Use the Choosing Wisely Initiative as a Guide
Understand Patient Populations Using Data
Collaborate with Improvement Teams
Include Patients and Their Families
3 Frequent Mistakes in Healthcare Data AnalyticsHealth Catalyst
Healthcare organizations are recognizing the value of healthcare analytics, especially in their Big Data, population health management, or accountable care initiatives. This is good because without analytics it is difficult to impossible to run these programs successfully. That said, analytics are not the magic bullet and proper process must be in place. The three most common mistakes health systems makes with their healthcare analytics are: 1. Analytics Whiplash- when the analytics goes from one project to another without being able to fully understand the data and what it’s saying. 2. Coloring the Truth- When analysts don’t feel like they can be completely forthcoming with information and only give leadership the news they want to hear. 3. Deceitful Visualizations- Manipulating charts, graphs, and the like to reflect what the analyst or leadership wants the data to say, rather than what it actually says.
We spent time collecting healthcare factoids that show key trends driving the need for data in healthcare. And now, we’ve put it into an easy-to-view, shareable, memorable presentation to use as you see fit. You can use these factoids to help you make a case for reducing healthcare waste or get pointers for your next IT project. You can even use a few of them to predict the future of healthcare.
The 6 Critical Components of Population HealthHealth Catalyst
This article examines how to define population health through a review of the top analytics research firms. It lands on a single theme, but in the process it uncovers six common categories of IT capabilities required to successfully manage population health:
Data Aggregation
Patient Stratification
Care Coordination
Patient Engagement
Performance Reporting
Administrative/Business
These six strategic components define the population health ecosystem, and successful organizations must multitask across these domains, working with an enterprise data warehouse, if they hope to thrive in value-based healthcare and become true partners and assets in their respective communities.
Predictions, Hopes and Aspirations for U.S. Healthcare in 2015Health Catalyst
Predicting events in healthcare, especially year to year, is incredibly easy because healthcare advances at a glacial rate. Any significant changes that do happen in a year are rare. The IRS and public education may be the only other institutions that move at such a creeping, crawling, reluctant pace. But that's not to say predictions aren't worth trying. And lately, there have been some interesting developments for the healthcare industry that could mean some intriguing change is finally coming our way.
Please join Dale Sanders as he makes his predictions for 2015, some serious, some irreverent, and some simply hopeful aspirations, but all thought provoking and worthy of discussion. Unlike his past webinars where he does all the talking, this time Dale wants to hear from you. So, we'll be opening up the audio lines to give you the opportunity to share your thoughts and votes on Dale's predictions, and share your own predictions for 2015 and beyond, too.
The discussion will cover the following, and more:
The barriers that stand in the way of significant year-to-year changes in US healthcare
The pending Supreme Court decision on state-level insurance subsidies
Mergers & Acquisitions
The looming reality of hidden patient costs from narrow insurance plans
Why the future of healthcare lies in the hands of physicians and patients, not hospitals and insurance companies
And in a less obvious twist, discover how the Denver Broncos will win the next five Super Bowls using spliced genetics.
It's always fun to look ahead and try to predict what might or might not happen. Come prepared to share your opinions,vote on Dale's predictions, and join in for a candid and lively conversation.
Analytics and Small Hospitals: Embracing Data to Thrive in the New Era of Val...Health Catalyst
Value-based care has remade the healthcare landscape for small hospitals. Many are struggling to compete with the larger, better-funded medical centers in the communities they serve. Embracing data and analytics is no longer a luxury for these organizations if they are to succeed and remain competitive. Data analysis can assist senior leaders in identifying opportunities for improvement while balancing long-term goals with short-term pressures. Incorporating data in to the culture and making it a part of everyday decision making will enable smaller hospitals to not only survive, but thrive in the new era of value-based care.
Two-Midnight Rule: Ready For the Clock to Strike 12?Health Catalyst
CMS’s proposed changes to the controversial two-midnight rule that governs short hospital stays, has been met with strong opposition by the healthcare community. While the core of the rule is fairly straightforward, implementation could be anything but. Being classified as an outpatient or inpatient can have a substantial financial impact the patient and the hospital. Adding to the confusion, CMS has also stated this policy won’t override a physician’s judgment. Unfortunately, CMS failed to provide details on what the physician must provide in order to justify their decision. The good news is there is still time to provide feedback to CMS. Take action, understand the new rules, let your voice be heard, and most importantly, be prepared for the new rule in 2016.
Partners’ Care Management Strategy: A 10-Year JourneyHealth Catalyst
Chronic diseases are responsible for seven out of 10 deaths each year, killing more than 1.7 million Americans annually. Additionally, 133 million Americans—approximately 45 percent of the population—have at least one chronic disease. Partners HealthCare believes that chronically ill patients with multiple medical conditions often need the most help coordinating their care, which is why this well-respected health system has spent the last 10 years perfecting an integrated care management program (iCMP).
Key elements of the iCMP at Partners include access to specialized resources (e.g., mental health, palliative care), involvement through the continuum of care, patient self-management, IT-enabled systems to improve care coordination, data-driven analytics to support strategic decision making, a payer-blind approach, and ongoing support and training for its teams and staff.
Attendees will learn how to:
Identify the essential elements of an effective care management program for chronically ill patients
Recognize how care management plays a key role in an effective population health management strategy
Determine how to use information to identify and effectively manage complex, chronically ill patients
The Top Seven Analytics-Driven Approaches for Reducing Diagnostic Error and I...Health Catalyst
From a wrong diagnosis to a delayed one, diagnostic error is a growing concern in the industry. Diagnostic error consequences are severe—they are responsible for 17 percent of preventable deaths (according to a Harvard Medical Practice study) and account for the highest portion of total payments (32.5 percent), according to a 1986-2010 analysis of malpractice claims. Patient safety depends heavily on getting the diagnosis right the first time.
Health systems know reducing diagnostic error to improve patient safety is a top priority, but knowing where to start is a challenge. Systems can start by implementing the top seven analytics-driven approaches for reducing diagnostic error:
Use KPA to Target Improvement Areas
Always Consider Delayed Diagnosis
Diagnose Earlier Using Data
Use the Choosing Wisely Initiative as a Guide
Understand Patient Populations Using Data
Collaborate with Improvement Teams
Include Patients and Their Families
3 Frequent Mistakes in Healthcare Data AnalyticsHealth Catalyst
Healthcare organizations are recognizing the value of healthcare analytics, especially in their Big Data, population health management, or accountable care initiatives. This is good because without analytics it is difficult to impossible to run these programs successfully. That said, analytics are not the magic bullet and proper process must be in place. The three most common mistakes health systems makes with their healthcare analytics are: 1. Analytics Whiplash- when the analytics goes from one project to another without being able to fully understand the data and what it’s saying. 2. Coloring the Truth- When analysts don’t feel like they can be completely forthcoming with information and only give leadership the news they want to hear. 3. Deceitful Visualizations- Manipulating charts, graphs, and the like to reflect what the analyst or leadership wants the data to say, rather than what it actually says.
The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Heal...Health Catalyst
As far back as the 1840s, clinicians have been using maps to inform them about population health trends. Today, the geo-analytics industry is well-developed in almost every application, with the exception of healthcare and medicine. There is potential to use mapping technologies to show patient disease burden in geographic form, map locations of health care facilities, and a plethora of accountable care population health initiatives would benefit from geo-analysis. Health Catalyst is working to integrate inputs into analysis like maps that can show geographic care boundaries, population health demographics, and more.
Going Beyond Genomics in Precision Medicine: What's NextHealth Catalyst
Precision medicine processes, while involving genomics, are not confined to working with data about an individual’s genes, environment, and lifestyle. Precision medicine also means putting patients on the right path of care, taking into consideration other individual tolerances, such as participation and cost. Precision medicine processes incorporate data beyond the individual, pulling in socio-economic data, as well as relevant internal and external data, to create an entire patient data ecosystem. With reusable data modules, this information is processed within a closed-loop analytics framework to facilitate clinical decision making at the point of care. This optimizes clinical workflow, thus leading to more precise medicine.
Outsourced vs. In-house Healthcare Analytics: Pros and ConsHealth Catalyst
Healthcare analytics are essential for organizations to thrive in the new healthcare environment. Using analytics, systems can evaluate efficiency, effectiveness, and find improvement opportunities. There are two principal approaches: outsourcing the analytics function to benchmarking companies and providers of software-as-a-service; and doing analytics in-house with a system’s own data warehouse. The pros of outsourcing include gaining benchmarking access to how health system peers are performing. The cons to outsourcing include focusing too much high-level outcomes with no insight in how to effect change. The pros of in-house analytics include having quick access to fine-grained details of the data and being able to include clinicians in the implementation and development of the analytics process. A con is that in-house analytics can require significant resources – an investment in the right personnel and right technology.
Best Practices in Implementing Population Health Health Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
Healthcare Transformation: The Journey of High-Value HealthcareHealth Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
Addressing Healthcare Waste Through CentralizationHealth Catalyst
Healthcare generates an estimated $1 trillion in waste each year, including supply costs, unnecessary tests, and surgeries that aren’t clinically indicated by best practices. One effective way health systems can reduce waste is by centralizing duplicated services into one high-performing center for that service. For example, instead of having a few cardiac catheterization (cath) labs, a health system can consolidate its cath services into one facility, cutting equipment, staffing, and space requirements.
Despite its clinical and financial benefits, centralization can be challenging for health system leaders, who may face operational and political challenges when cutting services from certain locations. To navigate these challenges, leadership must use a data- and analytics-driven centralization strategy and a data and analytics system that can measure performance at the surgeon, facility, and program levels.
Leveraging Healthcare Analytics to Reduce Heart Failure Readmission Rates Health Catalyst
Heart failure patients are adding an enormous strain to the US healthcare system. In addition, readmission rates for these diseases are adding to the burden. Healthcare analytics can play a key role. By following these 4 steps, all of which include data analytics, health systems can begin to reduce readmission rates: 1) Understand your true admission rates. 2) Establish reliable baseline measures. 3) Be aware of balance measures. 4) Establish an EDW.
Why the Data Steward’s Role is Critical to Sustained Outcomes Improvement in ...Health Catalyst
The data steward is critical to sustained outcomes improvement, yet they tend to be underappreciated members of the healthcare analytics family. Combining the invaluable technical expertise of a data analyst with the vital clinical knowledge of an experienced caregiver, the data steward’s skills and proficiency at both positions brings value beyond measure to any outcomes improvement project. Unfortunately, all too often, their role is non-existent even though potential candidates for the job are located in multiple data sources throughout the organization. Among other responsibilities, the data steward:
Reinforces the global data governance principles.
Helps develop and refine details of local data governance practices.
Is the eyes and ears of the organization with respect to data governance and the governance committee.
Provides direction to peers regarding appropriate data definitions, usage, and access.
Anticipates local consequences of global changes
For innovative health system leaders who have specifically recognized this emerging role, the ROI of data stewards who help achieve improved outcomes is very worthwhile.
Leading Adaptive Change to Create Value in HealthcareHealth Catalyst
In pursuit of the Triple Aim, healthcare leaders work hard to improve care, reduce costs, and improve the patient experience. But accomplishing these goals requires an engaged staff that makes progress, day in and day out. Adaptive Leadership (AL) principles help leaders understand human behavior to mobilize change and overcome work avoidance, which happens when staff operate above or below the productive zone of tension.
By understanding what adaptive work actually is (and that adaptive problems can’t be solved with technical fixes), and why work avoidance happens (because people are overwhelmed; the heat is too high), leaders can keep their teams engaged by using influence and leadership—not authority—to “lower the heat” on their people:
Validate the difficulty of the situation.
Simplify/clarify the work.
Provide additional resources (time, training, etc.)
Dr. Ulstad has worked with healthcare leaders and teams for the last 20 years to help them understand behaviors triggered by rapid, high-volume change, and apply AL principles to guide the changes critical to their organizations’ success.
Patient Flight Path Analytics: From Airline Operations to Healthcare OutcomesHealth Catalyst
We developed a predictive analytics framework for patient care based upon concepts from airline operations. Using the idea of an aircraft turnaround time where the airline wants to put the aircraft back into operation as soon as possible, we’ve created a way to help patients headed toward poor outcomes, along with their providers, “turnaround” and get the best possible, most cost-effective outcome. For example, in a diabetes patient, we might use variables such as: age, alcohol use, annual eye/foot exam, BMI, etc. to look for patterns that might influence two outcomes: 1) Diabetic control and 2) The absence of progression toward diabetic complications. The notion of our Patient Flight Path is useful at both the conceptual level, as well as the predictive algorithm implementation level.
This presentation made at EMCON, Jaipur, November 2017, demonstrates the practical feasibility of improving quality care in Emergency Departments by application of Lean thinking, both theoretically and research based findings along with our own experience at THE MISSION HOSPITAL, DURGAPUR.
The Top 8 Skills Every Healthcare Process Improvement Leader Must HaveHealth Catalyst
Healthcare process improvement leaders not only have to be a jack-of-all-trades, but they need to be a master, as well. This is one of the most important leadership roles in the healthcare system with responsibilities that can ultimately end up saving lives, improving the patient experience, improving caregiver job satisfaction, and reducing costs. Although there are many others, these eight skills are the most critical for the efficient, and ultimately, successful process improvement leader:
Communication
Trust Building
Coaching
Understanding Process Management
Understanding Care Management Personnel
Constructive Accountability and Constructive Conflict
Resiliency and Persistency
Seeing the Big Picture
Along with the right training, education, and sponsorship, it’s easy to see why this role blends many elements of art and science.
Is That Data Valid? Getting Accurate Financial Data in HealthcareHealth Catalyst
A consolidated EDW is not a replacement or threat to the individual financial systems and reporting tools employed for general ledger, billing, payroll, or supply management. On the contrary, each of those systems is designed with sophisticated functionality that drives organizational efficiency. But alone, these systems realize only a portion of their true return on investment for the enterprise. As a consolidated data resource, these systems provide untold potential to address the underlying challenges to efficient, cost-effective health care.
The Path to Shared Savings With Population Health Management ApplicationsHealth Catalyst
Eric Just, Vice President of Technology and Kathleen Merkley, Clinical Engagement Executive and Vice President at Health Catalyst, will demonstrate live several advanced applications built on a Late-Binding Catalyst data warehouse. Attendees will better understand how to:
Identify variability in care
Define accurate populations
Report on key health indicators across the continuum of care
Apply flexible models for risk stratification
Measure detailed process metrics spanning transitions of care for HF patients
Next generation health systems and Accountable Care Organizations will be paid based on an evolving model that rewards healthcare providers through ‘shared savings.’ Those savings must be achieved through systematic cost reductions while still improving quality of care. For most, this dual focus will prove to be the most critical and difficult part of realizing success.
Getting The Most Out of Your Data Analyst - HAS Session 9Health Catalyst
Many analysts spend 90% of their time managing rather than analyzing data. How do we enable analysts to do what they were hired to do? In this session, you will learn best practices on helping your analyst focus more on analytics and less on data capture and provisioning, as well as how to create sustainable and meaningful analytics. We will show best practices and common pitfalls to avoid. This will be a fun and interactive session with many hands-on examples and exercises.
Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, ...Health Catalyst
A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:
Automating ETL processes so data analysts have more time to listen and help end users
Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing
The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.
Lean Principles in Healthcare: 2 Important Tools Organizations Must HaveHealth Catalyst
The transition from fee-for-service to value-based reimbursement is driving many healthcare systems to fine-tune processes and work waste out of the system. In the search for quality improvement tools there has been much buzz surrounding lean, touted for its ability to remove waste from processes. Many have tried lean and, failing to achieve any sustainable benefit, are learning that applying lean principles to healthcare can be quite difficult. The lean approach isn’t a magic potion. Sustainable change will never become real without a committed organization dedicated to making it a reality. Lean, or any quality improvement tool, works in healthcare only when it is part of a larger initiative driving real cultural change.
Predicting Hospital Readmission Using CascadingCascading
Michael Covert will examine how Healthcare Providers are finding ways to use Big Data analytics to reduce readmission rates and improve operational efficiency while complying with regulatory mandates.
How to Use Text Analytics in Healthcare to Improve Outcomes: Why You Need Mor...Health Catalyst
Given the fact that up to 80 percent of clinical data is stored in unstructured text, healthcare organizations need to harness the power of text analytics. But, surprisingly, less than five percent of health systems use it due to resource limitations and the complexity of text analytics.
But given the industry’s necessity to use text analytics to create precise patient registries, enhance their understanding of high-risk patient populations, and improve outcomes, this executive report explains why systems must start using it—and explains how to get started.
Health systems can start using text analytics to improve outcomes by focusing on four key components:
Optimize text search (display, medical terminologies, and context).
Enhance context and extract values with an NLP pipeline.
Always validate the algorithm.
Focus on interoperability and integration using a Late-Binding approach.
This broad approach with position health systems for clinical and financial success.
Transforming Healthcare: The Promise of InnovationHealth Catalyst
A number of powerful technologies are on the verge of producing dramatic change in how, when and where care is delivered, including artificial intelligence, genomics, monitoring sensors, robotics, nanotechnology, 3D printing, mobile computing technologies and others. This technology-driven change will dramatically impact all healthcare providers, and it will propel healthcare into the realm of Big Data.
Participants will:
Appreciate the role of innovation in healthcare's future.
Understand the classes of technology that will foster innovation and drive change.
Learn how technology-driven change will support data-driven improvement and population health management.
Know how these technologies will impact analytics.
Understand the application of transformational principles in light of the many engaging practitioner discussions at the recently concluded Health Analytics Summit.
The future is becoming clearer and it promises to be exciting, impactful, and powerful for patients and healthcare providers alike.
2015 and Beyond: 6 Predictions for Healthcare and Population HealthHealth Catalyst
Healthcare will undergo a number of changes in 2015, particularly as organizations look to manage population health. Dr. David A. Burton outlines what he believes will happen in terms of at-risk contracting, risk evaluation, network optimization, quality and safety, cost reduction, and infrastructure, and how 2015 can develop into opportunity for all.
Governance in Healthcare: Leadership for Successful ImprovementHealth Catalyst
Successful outcomes improvement in healthcare requires strong leadership to make decisions, allocate resources, and prioritize initiatives. For improvement to succeed and endure, health systems can’t leave any part of leadership to chance. Instead, effective governance requires thoughtful, deliberate development. Otherwise, improvement initiatives stall or fail to launch, as stakeholders debate goals and strategies. To succeed, governance structure must be solid enough to withstand any challenges to improvement initiatives—from resource constraints to skeptics. Effective governance in healthcare operates with four guiding principles:
Engage the right stakeholders.
Establish a shared understanding of objectives.
Align incentives and rules of engagement.
Practice disciplined prioritization.
The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Heal...Health Catalyst
As far back as the 1840s, clinicians have been using maps to inform them about population health trends. Today, the geo-analytics industry is well-developed in almost every application, with the exception of healthcare and medicine. There is potential to use mapping technologies to show patient disease burden in geographic form, map locations of health care facilities, and a plethora of accountable care population health initiatives would benefit from geo-analysis. Health Catalyst is working to integrate inputs into analysis like maps that can show geographic care boundaries, population health demographics, and more.
Going Beyond Genomics in Precision Medicine: What's NextHealth Catalyst
Precision medicine processes, while involving genomics, are not confined to working with data about an individual’s genes, environment, and lifestyle. Precision medicine also means putting patients on the right path of care, taking into consideration other individual tolerances, such as participation and cost. Precision medicine processes incorporate data beyond the individual, pulling in socio-economic data, as well as relevant internal and external data, to create an entire patient data ecosystem. With reusable data modules, this information is processed within a closed-loop analytics framework to facilitate clinical decision making at the point of care. This optimizes clinical workflow, thus leading to more precise medicine.
Outsourced vs. In-house Healthcare Analytics: Pros and ConsHealth Catalyst
Healthcare analytics are essential for organizations to thrive in the new healthcare environment. Using analytics, systems can evaluate efficiency, effectiveness, and find improvement opportunities. There are two principal approaches: outsourcing the analytics function to benchmarking companies and providers of software-as-a-service; and doing analytics in-house with a system’s own data warehouse. The pros of outsourcing include gaining benchmarking access to how health system peers are performing. The cons to outsourcing include focusing too much high-level outcomes with no insight in how to effect change. The pros of in-house analytics include having quick access to fine-grained details of the data and being able to include clinicians in the implementation and development of the analytics process. A con is that in-house analytics can require significant resources – an investment in the right personnel and right technology.
Best Practices in Implementing Population Health Health Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
Healthcare Transformation: The Journey of High-Value HealthcareHealth Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
Addressing Healthcare Waste Through CentralizationHealth Catalyst
Healthcare generates an estimated $1 trillion in waste each year, including supply costs, unnecessary tests, and surgeries that aren’t clinically indicated by best practices. One effective way health systems can reduce waste is by centralizing duplicated services into one high-performing center for that service. For example, instead of having a few cardiac catheterization (cath) labs, a health system can consolidate its cath services into one facility, cutting equipment, staffing, and space requirements.
Despite its clinical and financial benefits, centralization can be challenging for health system leaders, who may face operational and political challenges when cutting services from certain locations. To navigate these challenges, leadership must use a data- and analytics-driven centralization strategy and a data and analytics system that can measure performance at the surgeon, facility, and program levels.
Leveraging Healthcare Analytics to Reduce Heart Failure Readmission Rates Health Catalyst
Heart failure patients are adding an enormous strain to the US healthcare system. In addition, readmission rates for these diseases are adding to the burden. Healthcare analytics can play a key role. By following these 4 steps, all of which include data analytics, health systems can begin to reduce readmission rates: 1) Understand your true admission rates. 2) Establish reliable baseline measures. 3) Be aware of balance measures. 4) Establish an EDW.
Why the Data Steward’s Role is Critical to Sustained Outcomes Improvement in ...Health Catalyst
The data steward is critical to sustained outcomes improvement, yet they tend to be underappreciated members of the healthcare analytics family. Combining the invaluable technical expertise of a data analyst with the vital clinical knowledge of an experienced caregiver, the data steward’s skills and proficiency at both positions brings value beyond measure to any outcomes improvement project. Unfortunately, all too often, their role is non-existent even though potential candidates for the job are located in multiple data sources throughout the organization. Among other responsibilities, the data steward:
Reinforces the global data governance principles.
Helps develop and refine details of local data governance practices.
Is the eyes and ears of the organization with respect to data governance and the governance committee.
Provides direction to peers regarding appropriate data definitions, usage, and access.
Anticipates local consequences of global changes
For innovative health system leaders who have specifically recognized this emerging role, the ROI of data stewards who help achieve improved outcomes is very worthwhile.
Leading Adaptive Change to Create Value in HealthcareHealth Catalyst
In pursuit of the Triple Aim, healthcare leaders work hard to improve care, reduce costs, and improve the patient experience. But accomplishing these goals requires an engaged staff that makes progress, day in and day out. Adaptive Leadership (AL) principles help leaders understand human behavior to mobilize change and overcome work avoidance, which happens when staff operate above or below the productive zone of tension.
By understanding what adaptive work actually is (and that adaptive problems can’t be solved with technical fixes), and why work avoidance happens (because people are overwhelmed; the heat is too high), leaders can keep their teams engaged by using influence and leadership—not authority—to “lower the heat” on their people:
Validate the difficulty of the situation.
Simplify/clarify the work.
Provide additional resources (time, training, etc.)
Dr. Ulstad has worked with healthcare leaders and teams for the last 20 years to help them understand behaviors triggered by rapid, high-volume change, and apply AL principles to guide the changes critical to their organizations’ success.
Patient Flight Path Analytics: From Airline Operations to Healthcare OutcomesHealth Catalyst
We developed a predictive analytics framework for patient care based upon concepts from airline operations. Using the idea of an aircraft turnaround time where the airline wants to put the aircraft back into operation as soon as possible, we’ve created a way to help patients headed toward poor outcomes, along with their providers, “turnaround” and get the best possible, most cost-effective outcome. For example, in a diabetes patient, we might use variables such as: age, alcohol use, annual eye/foot exam, BMI, etc. to look for patterns that might influence two outcomes: 1) Diabetic control and 2) The absence of progression toward diabetic complications. The notion of our Patient Flight Path is useful at both the conceptual level, as well as the predictive algorithm implementation level.
This presentation made at EMCON, Jaipur, November 2017, demonstrates the practical feasibility of improving quality care in Emergency Departments by application of Lean thinking, both theoretically and research based findings along with our own experience at THE MISSION HOSPITAL, DURGAPUR.
The Top 8 Skills Every Healthcare Process Improvement Leader Must HaveHealth Catalyst
Healthcare process improvement leaders not only have to be a jack-of-all-trades, but they need to be a master, as well. This is one of the most important leadership roles in the healthcare system with responsibilities that can ultimately end up saving lives, improving the patient experience, improving caregiver job satisfaction, and reducing costs. Although there are many others, these eight skills are the most critical for the efficient, and ultimately, successful process improvement leader:
Communication
Trust Building
Coaching
Understanding Process Management
Understanding Care Management Personnel
Constructive Accountability and Constructive Conflict
Resiliency and Persistency
Seeing the Big Picture
Along with the right training, education, and sponsorship, it’s easy to see why this role blends many elements of art and science.
Is That Data Valid? Getting Accurate Financial Data in HealthcareHealth Catalyst
A consolidated EDW is not a replacement or threat to the individual financial systems and reporting tools employed for general ledger, billing, payroll, or supply management. On the contrary, each of those systems is designed with sophisticated functionality that drives organizational efficiency. But alone, these systems realize only a portion of their true return on investment for the enterprise. As a consolidated data resource, these systems provide untold potential to address the underlying challenges to efficient, cost-effective health care.
The Path to Shared Savings With Population Health Management ApplicationsHealth Catalyst
Eric Just, Vice President of Technology and Kathleen Merkley, Clinical Engagement Executive and Vice President at Health Catalyst, will demonstrate live several advanced applications built on a Late-Binding Catalyst data warehouse. Attendees will better understand how to:
Identify variability in care
Define accurate populations
Report on key health indicators across the continuum of care
Apply flexible models for risk stratification
Measure detailed process metrics spanning transitions of care for HF patients
Next generation health systems and Accountable Care Organizations will be paid based on an evolving model that rewards healthcare providers through ‘shared savings.’ Those savings must be achieved through systematic cost reductions while still improving quality of care. For most, this dual focus will prove to be the most critical and difficult part of realizing success.
Getting The Most Out of Your Data Analyst - HAS Session 9Health Catalyst
Many analysts spend 90% of their time managing rather than analyzing data. How do we enable analysts to do what they were hired to do? In this session, you will learn best practices on helping your analyst focus more on analytics and less on data capture and provisioning, as well as how to create sustainable and meaningful analytics. We will show best practices and common pitfalls to avoid. This will be a fun and interactive session with many hands-on examples and exercises.
Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, ...Health Catalyst
A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:
Automating ETL processes so data analysts have more time to listen and help end users
Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing
The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.
Lean Principles in Healthcare: 2 Important Tools Organizations Must HaveHealth Catalyst
The transition from fee-for-service to value-based reimbursement is driving many healthcare systems to fine-tune processes and work waste out of the system. In the search for quality improvement tools there has been much buzz surrounding lean, touted for its ability to remove waste from processes. Many have tried lean and, failing to achieve any sustainable benefit, are learning that applying lean principles to healthcare can be quite difficult. The lean approach isn’t a magic potion. Sustainable change will never become real without a committed organization dedicated to making it a reality. Lean, or any quality improvement tool, works in healthcare only when it is part of a larger initiative driving real cultural change.
Predicting Hospital Readmission Using CascadingCascading
Michael Covert will examine how Healthcare Providers are finding ways to use Big Data analytics to reduce readmission rates and improve operational efficiency while complying with regulatory mandates.
How to Use Text Analytics in Healthcare to Improve Outcomes: Why You Need Mor...Health Catalyst
Given the fact that up to 80 percent of clinical data is stored in unstructured text, healthcare organizations need to harness the power of text analytics. But, surprisingly, less than five percent of health systems use it due to resource limitations and the complexity of text analytics.
But given the industry’s necessity to use text analytics to create precise patient registries, enhance their understanding of high-risk patient populations, and improve outcomes, this executive report explains why systems must start using it—and explains how to get started.
Health systems can start using text analytics to improve outcomes by focusing on four key components:
Optimize text search (display, medical terminologies, and context).
Enhance context and extract values with an NLP pipeline.
Always validate the algorithm.
Focus on interoperability and integration using a Late-Binding approach.
This broad approach with position health systems for clinical and financial success.
Transforming Healthcare: The Promise of InnovationHealth Catalyst
A number of powerful technologies are on the verge of producing dramatic change in how, when and where care is delivered, including artificial intelligence, genomics, monitoring sensors, robotics, nanotechnology, 3D printing, mobile computing technologies and others. This technology-driven change will dramatically impact all healthcare providers, and it will propel healthcare into the realm of Big Data.
Participants will:
Appreciate the role of innovation in healthcare's future.
Understand the classes of technology that will foster innovation and drive change.
Learn how technology-driven change will support data-driven improvement and population health management.
Know how these technologies will impact analytics.
Understand the application of transformational principles in light of the many engaging practitioner discussions at the recently concluded Health Analytics Summit.
The future is becoming clearer and it promises to be exciting, impactful, and powerful for patients and healthcare providers alike.
2015 and Beyond: 6 Predictions for Healthcare and Population HealthHealth Catalyst
Healthcare will undergo a number of changes in 2015, particularly as organizations look to manage population health. Dr. David A. Burton outlines what he believes will happen in terms of at-risk contracting, risk evaluation, network optimization, quality and safety, cost reduction, and infrastructure, and how 2015 can develop into opportunity for all.
Governance in Healthcare: Leadership for Successful ImprovementHealth Catalyst
Successful outcomes improvement in healthcare requires strong leadership to make decisions, allocate resources, and prioritize initiatives. For improvement to succeed and endure, health systems can’t leave any part of leadership to chance. Instead, effective governance requires thoughtful, deliberate development. Otherwise, improvement initiatives stall or fail to launch, as stakeholders debate goals and strategies. To succeed, governance structure must be solid enough to withstand any challenges to improvement initiatives—from resource constraints to skeptics. Effective governance in healthcare operates with four guiding principles:
Engage the right stakeholders.
Establish a shared understanding of objectives.
Align incentives and rules of engagement.
Practice disciplined prioritization.
Top 7 Healthcare Trends and Challenges for 2015 - From Our Financial ExpertHealth Catalyst
As the healthcare industry moves closer to value-based care, there are a lot of projections about the changes that will occur in 2015. This article discusses seven of the top trends the industry is focused on: (1) physicians start to feel the financial impact of CMS’s rules; (2) the use of technology in healthcare is exploding; (3) financial viability is a key concern for CEOs; (4) reducing exposure to risk performance is becoming more important; (5) interest in population health management continues to grow; (6) outcomes improvements will continue to increase; and (7) collaboration between providers and payers will increase.
As population health management goes mainstream, providers need robust, integrated software solutions to aggregate and analyze data, coordinate care, engage patients and clinicians, and provide full administrative and financial functionality. Population Health Management is a journey, and the number of approaches to population health are varied.
Detailed Clinical Models and their relation with Electronic Health Recordsyampeku
Presentation of my PhD dissertation. Contains three main subjects:
-Archetype representation of non-dual model architectures
-Archetype-based mapping between clinical information models
-Automatic generation of implementation guides from clinical information models
Andrew Proctor, Sr. Director of Business Intelligence, Medical Operations Division, Cleveland Clinic
iHT2 case studies and presentations illustrate challenges, successes and various factors in the outcomes of numerous types of health IT implementations. They are interactive and dynamic sessions providing opportunity for dialogue, debate and exchanging ideas and best practices. This session will be presented by a thought leader in the provider, payer or government space.
iHT² Health IT Summit San Diego – Case Study: ”Moving an Enabled Patient to an Engaged Patient: Our Patient Portal Experience” with Lori Posk, MD, Medical Director for MyChart, Cleveland Clinic
Read her full interview here - http://bit.ly/1f9enfC
View photos from the program here - http://on.fb.me/1cZFDpO
Case Study "Moving an Enabled Patient to an Engaged Patient: Our Patient Portal Experience"
Presentation will include a discussion on our patient portal activation and release of data. A review of our Opt Out model for portal activation will be discussed and our journey of data and documentation release to engage patients. The discussion will include how we used a Physician Advisor Group to release lab, imaging, procedures, pathology, problem list, provider notes and how we educated patients. Lessons learned on data release will be shared. Our implementation of message to engage patients and next steps will also be included in the discussion.
Learning Objectives:
∙ Create a model to activate patients on a patient portal
∙ How to engage a large organization in test result release to a patient portal
∙ Develop a model for physician note release with the option of having sensitive notes not released to the patient
∙ How to educate providers and patients on test result and note release
∙ Review the potential impact of an engaged patient and provider team
Back to the Bedside: Internal Medicine Bedside Ultrasound ProgramAllina Health
David Tierney, MD. How bedside ultrasound is changing the practice of medicine and how Abbott Northwestern Hospital has become a national leader in integrating bedside ultrasound in its Internal Medicine Residency Program. "As internal medicine physicians, we are finding that everything we do with our hands, eyes and stethoscopes can be done a little better with ultrasound. That means our physical exam, which we consider our bread and butter, has more sensitivity and specificity. This gives us better diagnostic ability and results in earlier and more appropriate treatment."
Healthcare Interoperability: New Tactics and TechnologyHealth Catalyst
Every provider agrees on the need for healthcare interoperability to achieve clinical data insights at the point of care. The question is how to get there from the myriad technologies and the volumes of data that comprise electronic medical records. It’s been difficult to organize among participants that have had little incentive to cooperate. And standards for sending and receiving data have been slow to develop. This is changing, but the key components that are still vital to realizing insights are closed-loop analytics and its accompanying tools, an enterprise data warehouse and analytics applications. This article defines the problems and explores the solutions to optimizing clinical decision making where it’s needed most.
Designing for Doctor and Patient Interactions in the Leave-taking ExperienceTim Anderson
An analysis of Cleveland Clinic's patient experience program and a series of recommendations to improve how doctors and patients interact. Goals of the project including behavioral changes to the organization as a whole as well as financial implications to due changes in HCAHPS.
Six Proven Methods to Combat COVID-19 with Real-World AnalyticsHealth Catalyst
As data in healthcare becomes more available than ever before, so does the need to apply that data to the unique challenges facing health systems, especially in a pandemic. Even with massive amounts of data, health systems still struggle to move data from spreadsheets to drive change in a clinical setting.
These six methods allow health systems to transform data into real-world analytics, going beyond basic data usage and maximizing actionable insight:
1. Create effective information displays.
2. Add context to data.
3. Ensure data processes are sustainable.
4. Certify data quality.
5. Provide systemwide access to data.
6. Refine the approach to knowledge management.
Advancing data use in healthcare with real-world analytics arms health systems with effective tools to combat COVID-19 and continue delivering quality care driven by comprehensive, actionable insight.
Top 7 Financial Healthcare Trends and Challenges for 2016Health Catalyst
Healthcare financial leaders will encounter a myriad of challenges and improvement opportunities in 2016. This year will force health system financial leadership to focus and prioritize, with challenges including increased healthcare spending, continued momentum toward value-based care, and the need to reexamine the revenue cycle after years of focusing so intently on ICD-10. But 2016’s financial healthcare trends include more than just challenges; exciting opportunities abound, from using technology to engage patients to a national focus on population health.
For the past several years, Bobbi Brown, our Vice President of Financial Engagement, has shared her predictions on trends and challenges that face the industry. We are happy to give the opportunity once again this year with a new webinar highlighting her top seven financial healthcare trends of 2016. Bobbi will also share the attributes necessary for healthcare leaders—particularly the characteristics of effective change leaders (resilient, collaborative, and inspirational)—to overcome challenges and make improvements to stay ahead of the curve in 2016.
Attendees will understand
The impact of these top seven trends to their organization.
Where to focus their quality improvement and efforts
How these 2016 trends will increase the need for healthcare data analytics.
It's always interesting to look ahead and try to predict what might or might not happen. Come prepared to share your opinions, vote on Bobbi’s predictions, and join in for a candid and lively conversation.
During the 2018 mid-term elections, candidates faced off making big claims that they would be the ones to fix healthcare. Now that they are back to work, what can we anticipate with a new Congress? Will we finally see improvements or gridlock? Join Bobbi Brown, MBA and Stephen Grossbart, PhD as they tackle these questions along with a 2018 lookback of what went right and 2019 predictions of the most important trends that will impact our daily work.
Beyond political maneuvering, in 2018 we saw material changes in the business of healthcare. The pace of mergers, acquisitions and partnerships was strong and deals like the pending acquisition of Aetna by CVS, could dramatically impact patient behavior and revenue streams. In addition, the Center for Medicare & Medicaid Services (CMS) continues to support existing programs while adding new measures to support transparency, interoperability and a continued shift to value-based payments. What does this mean for your organization in 2019? View this webinar to learn more across these areas:
- The business of healthcare including new market entrants, business models and shifting strategies to stay competitive.
- Continuous quality and cost control monitoring across populations.
- CMS proposals to push ACOs into two-sided risk models.
- Historic changes to Merit-based Incentive Payment System (MIPS).
- Fewer process measures but more quality outcomes scrutiny for providers.
- Increased consumer demand for more transparency.
There are many challenges and opportunities for all of us in healthcare. Join Bobbi and Stephen as they draw upon their decades of experience to make sense of the past year and look ahead to give you guidance for the new year. This is the fourth year running that Bobbi has presented her predictions at the turn of the new year and past attendees will remember that her knack for predicting is uncanny and her stories are unforgettable. This time was no different.
Using analytics to mine large datasets for insights, commonly known as Big Data, is already transforming industries ranging from consumer goods to transportation. Certainly, the healthcare sector has the raw information to join this group. For example, Kaiser Permanente, a California-based health network, has an estimated 27 to 44 million gigabytes of potentially useful patient information. Expectations are that the U.S. healthcare sector will soon have a zettabyte of these data.
To learn more about the research programme, visit http://hospitalresilience.eiu.com/.
Architecture Before Experience - EuroIA Amsterdam 2016 Bogdan Stanciu
Spending $9.715 per capita (The World Bank, 2013), the United States sits on top of the world of total health expenditures, but ranks only 33rd in population health. With 165.169 mHealth applications available for download to more than two-thirds of Americans who own a smartphone, one might think the digital revolution is going to cure everyone. However, the healthcare industry is failing the care model. Facing disruption in an open, competitive marketplace, the big insurance and big pharma, along with the hospital-based medical systems are trying to ride the wave of digital transformation in the most archaic way: adding a digital silo to their organisational chart. Battling conflicting workflows, poor integrations of a wide range of applications, and legacy policies and infrastructure, digital is as challenged as its peers in the marketing, patient experience, physician relationships, and consumer product departments to produce a comprehensive strategy for transformation. The good news is that medical systems are just that: systems. And like every other systems in the world, they can be designed.
Professor Licinio trained in endocrinology and psychiatry at the University of Chicago and Cornell Medical Centre starting in 1984 while Professor Wong graduated from medical school in Brazil.
Customer Journey Analytics: Cracking the Patient Engagement Challenge for PayersHealth Catalyst
Customer journey analytics uses machine learning and big data to track and analyze when and through what channels customers interact with an organization, with an aim to influence behavior (e.g., buying behaviors among retail customers). Similarly, healthcare organizations want to influence health-related behaviors, such a taking medication as prescribed and not smoking, to improve outcomes and lower the cost of care. In a partnership with an analytics services provider, a payer organization is leveraging customer journey analytics among healthcare consumers to identify the best opportunities and channels for patient outreach. With this analytics-driven engagement strategy, the payer has found an opportunity to significantly improve patient engagement—a predicted overall increase from 18 percent to 31 percent.
Optimize physician workflow and you’ll contribute to optimizing patient care. But what is it physicians look for to improve diagnoses, decision-making, patient care, and ultimately, outcomes? To answer this, consider what constitutes ideal working conditions in any industry: the right tools, training, and information to maximize productivity and deliver results. Physicians need analytics integrated into the EHR to maximize their efficiency, a common quest among the chronically overworked. And by flowing the universe of global, local, and individual data back into an enterprise data warehouse, a healthcare system can close the analytics loop, and begin to realize true precision medicine.
Artificial Intelligence and Machine Learning in Healthcare: Four Real-World I...Health Catalyst
As COVID-19 has strained health systems clinically, operationally, and financially, advanced data science capabilities have emerged as highly valuable pandemic resources. Organizations use artificial intelligence (AI) and machine learning (ML) to better understand COVID-19 and other health conditions, patient populations, operational and financial challenges, and more—insights that are supporting pandemic response and recovery as well as ongoing healthcare delivery. Meanwhile, improved data science adoption guidelines are making implementation of capabilities such as AI and ML more accessible and actionable, allowing organizations to achieve meaningful short-term improvements and prepare for an emergency-ready future.
Six Ways Health Systems Use Analytics to Improve Patient SafetyHealth Catalyst
With preventable patient harm associated with over 400,000 deaths in the U.S. annually, improving safety is a top priority for healthcare organizations. To reduce risks for hospitalized patients, health systems are using patient safety analytics and trigger-based surveillance tools to better understand and recognize the types of harm occurring at their facilities and intervene as early as possible.
Six examples of analytics-driven patient safety success cover improvement in the following areas:
Wrong-patient order errors.
Blood management.
Clostridioides difficile (C. diff).
Opioid dependence.
Event reporting.
Sepsis.
Creating a Data-Driven Research Ecosystem with Patients at the CenterHealth Catalyst
As patient data because one of the healthcare industry’s most valuable assets, organizations are establishing new practices around accessing and handling data. In question is the practice of de-identifying patient data for widespread cross-organizational data collaboration without compromising patient privacy. But because deeper and richer data drives better clinical understanding and, ultimately, better outcomes, does separating patients from their health data and how it’s used give researchers and developers the best insights? Or do data users risk losing critical connection with the patients and insights into therapies their lives, disease, treatments, and deaths that contribute to new therapeutic approaches?
It’s time to consider a progressive approach to patient data that keeps the patients involved by informing them when and how their data is used to earn trust and engagement, making patients partners in data-driven healthcare transformation.
Healthcare IT Services Insights - January 2016Duff & Phelps
This issue of Healthcare IT Insights details the increased use of predictive analytics in the healthcare industry to reduce costs and improve outcomes for patients and populations. Predictive analytics can address three categories that unnecessarily cost the healthcare delivery system in the U.S. approximately $350 billion annually: overtreatment, care delivery failure and lack of care coordination.
Population Health Success: Three Ways to Leverage DataHealth Catalyst
As the healthcare industry continues to focus on value, rather than volume, health systems are faced with delivering quality care to large populations with limited resources. To implement population health initiatives and deliver results, it is critical that care teams build population health strategies on actionable, up-to-date data. Health systems can better leverage data within population health and drive long-lasting change by implementing three small changes:
Increase team members’ access to data.
Support widespread data utilization.
Implement one source of data truth.
Access to accurate, reliable data boosts population health efforts while maintaining cost and improving outcomes. With actionable analytics providing insight and guiding decisions, population health teams can drive real change within their patient populations.
IT Solutions for Fee for Value Reimbursment and Population Health ManagementJohn Squeo
This presentation highlights some key considerations when building or integrating IT solutions for the emergent payment models evolving in Health Care. Population risk stratification, identifying patients to target for high success rate interventions, and tracking physicians adherence to evidence based medicine using key performance indicators are covered at a high level.
"Enabling Individual Wellness through Computational Systems Biology, Cloud An...Hyper Wellbeing
"Enabling Individual Wellness through Computational Systems Biology, Cloud Analytics, Wearables, Machine Learning and More" - Riaan Conradie (Co-Founder, LifeQ)
Delivered at the inaugural Hyper Wellbeing Summit, 14th November 2016, Mountain View, California.
For more information including details of subsequent events, please visit http://hyperwellbeing.com
The summit was created to foster a community around an emerging industry - Wellness as a Service (WaaS). Consumer technologies, in particular wearables and mobile, are powering a consumer revolution. A revolution to turn health and wellness into platform delivered services. A revolution enabling consumer data-driven disease risk reduction. A revolution extending health care past sick care towards consumer-led lifelong health, wellness and lifestyle optimization.
WaaS newsletter sign-up http://eepurl.com/b71fdr
@hyperwellbeing
9 Actionable Healthcare Tweets from HIMSS 2015Buddy Scalera
9 tweets and action items for healthcare marketers and content strategists, as developed by Marilyn Cox @MarilynECox (Oracle) and Buddy Scalera @MarketingBuddy.
Be sure to visit: http://www.slideshare.net/americanregistry
The Digitization of Healthcare: Why the Right Approach Matters and Five Steps...Health Catalyst
While many industries are leveraging digital transformation to accelerate their productivity and quality, healthcare ranks among the least digitized sectors. Healthcare data is largely incomplete when it comes to fully representing a patient’s health and doesn’t adequately support diagnoses and treatment, risk prediction, and long-term health care plans. But even with the obvious urgency for increased healthcare digitization, the industry must raise this trajectory with sensitivity to the impacts on clinicians and patients. The right digital strategy will not only aim for more comprehensive information on patient health, but also leverage data to empower and engage the people involved.
Health systems can follow five guidelines to digitize in a sustainable, impactful way:
Achieve and maintain clinician and patient engagement.
Adopt a modern commercial digital platform.
Digitize the assets (the patients) and the processes.
Understand the importance of data to drive AI insights.
Prioritize data volume.
Three Analytics Strategies to Drive Patient-Centered CareHealth Catalyst
The cost of uncoordinated care that fails to prioritize patient needs is estimated to be over $27.2 billion. One of the primary reasons behind these wasted healthcare dollars is a failure to effectively leverage data to understand patient needs—a must-have to deliver patient-centered, value-based care (VBC).
Three analytics strategies enable health systems to focus on patients while also meeting the financial standards for VBC delivery:
Prioritize patient outreach by risk level.
Deploy data tools to combat COVID-19.
Promote data literacy.
Detailed information from comprehensive data sets allows health systems to understand patient needs at a granular level and then use that insight to drive care decisions. More informed care ensures health systems are also meeting the core elements of VBC—managing costs, delivering quality, and ensuring an excellent patient experience.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
Unlock the Secrets to Optimizing Ambulatory Operations Efficiency and Change ...Health Catalyst
Today’s healthcare leaders are seeking technology solutions to optimize efficiencies and improve patient care. However, without effective change management and strategies in place, healthcare leaders struggle to strategically improve patient flow, space, to strategically improve patient flow, space, and schedule management, and implement daily huddles. The role of technology in supporting operational efficiency and change management initiatives is inevitable.
During this webinar, attendees will learn how to optimize Ambulatory Operational Efficiencies and Change Management. Attendees will also learn about the importance of visual management boards in enhancing clinic performance and insights into effective change management approaches.
Patient expectations are rising, and organizations are continuously being asked to do more with less.
Additionally, the convergence of several significant emerging market and policy trends, economic uncertainty, labor force shortages, and the end of the COVID-19 public health emergency has created a unique set of challenges for healthcare organizations.
Attend this timely webinar to learn about new trends and their impact on key healthcare issues, such as patient engagement, migration to value-based care, analytics adoption, the use of alternative care sites, and data governance and management challenges.
During this webinar, we will discuss the complexities of AI, trends, and platforms in the industry. Dive deep into understanding the true essence of AI, exploring its potential, real-world use cases, and common misconceptions. Gain valuable insights into the latest technology trends impacting healthcare and discover strategies for maximizing ROI in your technology investments.
Explore the profound impact of data literacy on healthcare organizations and how it shapes the utilization of data and technology for transformative outcomes. Understand the top technology priorities for healthcare organizations and learn how to navigate the digital landscape effectively. Furthermore, simplify industry jargon by defining common data elements, fostering clearer communication and collaboration across stakeholders.
Finally, uncover the transformative potentials of platforms in healthcare and how they can revolutionize scalability, interoperability, and innovation within your organization. Don't miss this opportunity to gain invaluable insights from industry experts and stay ahead in the ever-evolving healthcare landscape. Reserve your spot now for an enlightening journey into the future of healthcare technology!
Three Keys to a Successful Margin: Charges, Costs, and LaborHealth Catalyst
How can cost management and complete charge capture protect and enhance the margin?
In this webinar, we will look at 2024 margin pressures likely to impact your organization’s financial resiliency. This presentation will also share how organizations can move from Fee-for-Service to Value; bringing Cost to the forefront.
2024 CPT® Updates (Professional Services Focused) - Part 3Health Catalyst
Each year the CPT code set undergoes significant changes. Physicians and their office staff need to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This presentation will focus on the changes to the CPT dataset and the associated work RVU value changes that impact professional service reporting.
During this complimentary webinar, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. You will leave with an understanding of the financial implications of the changes on your practice.
2024 CPT® Code Updates (HIM Focused) - Part 2Health Catalyst
Each year the CPT code set and the HCPCS code set undergo significant changes, and your coding staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This is part two in a three-part series.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the surgical section of the CPT book in addition to surgical Category III codes.
2024 CPT® Code Updates (CDM Focused) - Part 1Health Catalyst
Each year the CPT and the HCPCS code sets undergo significant changes, and your staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted, and revised CPT codes and associated guidelines for 2024. This is part one in a three-part series, with a CDM focus.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the non-surgical sections of the CPT book.
What’s Next for Hospital Price Transparency in 2024 and BeyondHealth Catalyst
The Centers for Medicare & Medicaid Services (CMS) published updates to the hospital price transparency requirements in the CY 2024 Outpatient Prospective Payment System (OPPS) Final Rule. The updates will be phased in over the next 14 months and include several significant changes including the use of a CMS-mandated template, a requirement for an affirmation statement from the hospital, and several new data elements. Join us to discover what changes are scheduled for implementation in 2024 and 2025 and how they’ll impact your facility.
During this complimentary 60-minute webinar, we’ll analyze the key provisions of the Price Transparency regulations and provide insights to help you prepare for the upcoming changes.
Automated Patient Reported Outcomes (PROs) for Hip & Knee ReplacementHealth Catalyst
What was once voluntary reporting will soon be made mandatory with penalties.
On July 1, 2024, all health systems will be required to collect Patient Reported Outcome Measures (PROM) as part of the Centers for Medicare & Medicaid Services (CMS) regulation for the following measures:
Hospital-Level, Risk Standardized Patient-Reported Outcomes Performance Measure (PRO-PM) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA)
Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary THA/TKA
Are you equipped to handle these new requirements?
Mandatory data collection begins April 1, 2024, and failure to submit timely data can result in a 25 percent reduction in payments by Medicare.
Attend this webinar to learn how mobile engagement can empower your organization to meet this requirement.
2024 Medicare Physician Fee Schedule (MPFS) Final Rule UpdatesHealth Catalyst
According to the Centers for Medicare & Medicaid Services (CMS), the calendar year (CY) 2024 MPFS final rule was created to advance health equity and improve access to affordable healthcare. This webinar will cover the major policy updates of the MPFS final rule including updates to the telehealth services policy and remote monitoring services and enrollment of MFTs and MHCs as Medicare providers. The conversation will also cover policy changes on split (or shared) evaluation and management (E/M) visits, and the Appropriate Use Criteria (AUC) for Advanced Diagnostic Imaging.
What's Next for OPPS: A Look at the 2024 Final RuleHealth Catalyst
During this webinar, we’ll analyze the key provisions of the OPPS final rule and identify the significant changes for the coming year to help prepare your staff for compliance with the 2024 Medicare outpatient billing guidelines.
Insight into the 2024 ICD-10 PCS Updates - Part 2Health Catalyst
Prepare for mandatory ICD-10 PCS diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 procedure codes and their guidelines, enabling accurate and compliant coding for optimal billing and reimbursement.
Vitalware Insight Into the 2024 ICD10 CM Updates.pdfHealth Catalyst
Prepare for mandatory ICD-10 CM diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 diagnosis codes and their guidelines, along with major complication or comorbidity (MCC), complication or comorbidity (CC), and Medicare Severity Diagnosis Related Groups (MS-DRGs) classification changes. With this information, professionals can ensure accurate and compliant diagnosis coding for optimal billing and reimbursement.
Driving Value: Boosting Clinical Registry Value Using ARMUS SolutionsHealth Catalyst
Many hospitals today face a perfect storm of operational and financial challenges. With increasing competition from outpatient facilities and rising care costs negatively impacting budgets, now is the time to boost your clinical registry’s value. However, collecting and analyzing data can be time-consuming and costly without the right tools. During this webinar, we will share insights and best practices for increasing the value of registry participation and how it’s possible to reduce costs while improving outcomes using the ARMUS Product Suite.
Tech-Enabled Managed Services: Not Your Average OutsourcingHealth Catalyst
During this webinar you'll learn the following:
The importance of optimizing performance, reducing labor costs and sourcing talent given current market challenges.
Highlighting the need for a balanced approach to cost reduction.
How to reap the benefits of outsourcing (cost cutting, expertise, etc) while protecting yourself from the collateral damage that often comes with them.
This webinar will provide an in-depth review of the CPT/HCPCS code set changes that will be effective on July 1, 2023. The review will include additions and deletions to the CPT/HCPCS code set, revisions of code descriptors, payment changes, and rationale behind the changes.
How Managing Chronic Conditions Is Streamlined with Digital TechnologyHealth Catalyst
Chronic conditions across the United States are prevalent and continue to rise. Managing one or more chronic diseases can be very challenging for patients who may be overwhelmed or confused about their care plan and may not have access to the resources they need. At the same time, care teams are overburdened, making it difficult to provide the support these patients require to stay as healthy as possible. A new approach to chronic condition management leverages technology to enable organizations to scale high-quality care, identify gaps in care, provide personalized support, and monitor patients on an ongoing basis. Such streamlined management will result in better outcomes, reduced costs, and more satisfied patients.
COVID-19: After the Public Health Emergency EndsHealth Catalyst
In this fast-paced webinar, we will discuss the impact of the end of the public health emergency (PHE), including upcoming changes to the different flexibilities allowed during the PHE and the timeline for when these flexibilities will end. We’ll also cover coding changes and reimbursement updates.
Automated Medication Compliance Tools for the Provider and PatientHealth Catalyst
When it comes to sustaining patient health outcomes, compliance and adherence to medication regimens are critically important, especially as providers manage patients with complex care needs and multiple medications. But, with provider burnout and staffing shortages at an all-time high, an efficient solution is critical. The use of automated medication management workflows to decrease provider burnout, while improving both medication compliance and patient engagement, is the way forward.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Defecation
Normal defecation begins with movement in the left colon, moving stool toward the anus. When stool reaches the rectum, the distention causes relaxation of the internal sphincter and an awareness of the need to defecate. At the time of defecation, the external sphincter relaxes, and abdominal muscles contract, increasing intrarectal pressure and forcing the stool out
The Valsalva maneuver exerts pressure to expel faeces through a voluntary contraction of the abdominal muscles while maintaining forced expiration against a closed airway. Patients with cardiovascular disease, glaucoma, increased intracranial pressure, or a new surgical wound are at greater risk for cardiac dysrhythmias and elevated blood pressure with the Valsalva maneuver and need to avoid straining to pass the stool.
Normal defecation is painless, resulting in passage of soft, formed stool
CONSTIPATION
Constipation is a symptom, not a disease. Improper diet, reduced fluid intake, lack of exercise, and certain medications can cause constipation. For example, patients receiving opiates for pain after surgery often require a stool softener or laxative to prevent constipation. The signs of constipation include infrequent bowel movements (less than every 3 days), difficulty passing stools, excessive straining, inability to defecate at will, and hard feaces
IMPACTION
Fecal impaction results from unrelieved constipation. It is a collection of hardened feces wedged in the rectum that a person cannot expel. In cases of severe impaction the mass extends up into the sigmoid colon.
DIARRHEA
Diarrhea is an increase in the number of stools and the passage of liquid, unformed feces. It is associated with disorders affecting digestion, absorption, and secretion in the GI tract. Intestinal contents pass through the small and large intestine too quickly to allow for the usual absorption of fluid and nutrients. Irritation within the colon results in increased mucus secretion. As a result, feces become watery, and the patient is unable to control the urge to defecate. Normally an anal bag is safe and effective in long-term treatment of patients with fecal incontinence at home, in hospice, or in the hospital. Fecal incontinence is expensive and a potentially dangerous condition in terms of contamination and risk of skin ulceration
HEMORRHOIDS
Hemorrhoids are dilated, engorged veins in the lining of the rectum. They are either external or internal.
FLATULENCE
As gas accumulates in the lumen of the intestines, the bowel wall stretches and distends (flatulence). It is a common cause of abdominal fullness, pain, and cramping. Normally intestinal gas escapes through the mouth (belching) or the anus (passing of flatus)
FECAL INCONTINENCE
Fecal incontinence is the inability to control passage of feces and gas from the anus. Incontinence harms a patient’s body image
PREPARATION AND GIVING OF LAXATIVESACCORDING TO POTTER AND PERRY,
An enema is the instillation of a solution into the rectum and sig
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
Health Education on prevention of hypertensionRadhika kulvi
Hypertension is a chronic condition of concern due to its role in the causation of coronary heart diseases. Hypertension is a worldwide epidemic and important risk factor for coronary artery disease, stroke and renal diseases. Blood pressure is the force exerted by the blood against the walls of the blood vessels and is sufficient to maintain tissue perfusion during activity and rest. Hypertension is sustained elevation of BP. In adults, HTN exists when systolic blood pressure is equal to or greater than 140mmHg or diastolic BP is equal to or greater than 90mmHg. The
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.