The document discusses hospital consolidation in the US healthcare industry. Over 600 hospitals were involved in mergers and acquisitions from 2007 to 2013. Interoperability between healthcare systems is currently lacking. The document argues that improving interoperability could help newly consolidated hospitals optimize operations, reduce onboarding times, and keep patients and providers engaged after a merger or acquisition. Examples are given showing how interoperability could make consolidated hospitals stronger, integration processes quicker, and stakeholders happier.
Health IT Case Study "Consolidation: Greasing the Skids With Interoperability"
We enter 2015 with the full expectation that the trend of mergers and acquisitions in the healthcare industry will continue. Much has been discussed about the forces that are driving consolidation in healthcare - payment reform, population health, and others - but not as much around the tools that are available now to facilitate consolidation. Strong interoperability capabilities, already in use and generating value in many institutions, can have a large role to play in supporting consolidations and ensuring their success.
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.
Danielle Micciantuono, MSN, RN
Clinical Application Analyst
InterSystems
The Clinical and Economic Impact of Value-Based Implants in Orthopaedic Traum...April Bright
Learn about the market forces driving value-based care in orthopaedics (ASCs, bundled payments), and the clinical outcomes and economic impacts imparted by the use of value-based implants.
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.
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...Health Catalyst
According to the Centers of Disease Control (CDC), an estimated 70,000 patients die each year from hospital-associated infections (HAIs): contrast the CDC statistic with the fact that only 35,000 people die each year in the U.S. from motor vehicle accidents. Learn key best practices in patient safety and quality including: patient safety as a team sport, the added challenges of healthcare being the most complex, adaptive system, and how culture, analytics, and content contribute to improve outcomes and lower costs.
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.
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.
Recently, a study published in the Journal of the American Dental Association shows a growing trend among U.S. dentists to incorporate EDR technology into their practice. Learn about how technology adoption has changed over the last decade among dentists, as well as how they are using the technology in their practices.
Health IT Case Study "Consolidation: Greasing the Skids With Interoperability"
We enter 2015 with the full expectation that the trend of mergers and acquisitions in the healthcare industry will continue. Much has been discussed about the forces that are driving consolidation in healthcare - payment reform, population health, and others - but not as much around the tools that are available now to facilitate consolidation. Strong interoperability capabilities, already in use and generating value in many institutions, can have a large role to play in supporting consolidations and ensuring their success.
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.
Danielle Micciantuono, MSN, RN
Clinical Application Analyst
InterSystems
The Clinical and Economic Impact of Value-Based Implants in Orthopaedic Traum...April Bright
Learn about the market forces driving value-based care in orthopaedics (ASCs, bundled payments), and the clinical outcomes and economic impacts imparted by the use of value-based implants.
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.
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...Health Catalyst
According to the Centers of Disease Control (CDC), an estimated 70,000 patients die each year from hospital-associated infections (HAIs): contrast the CDC statistic with the fact that only 35,000 people die each year in the U.S. from motor vehicle accidents. Learn key best practices in patient safety and quality including: patient safety as a team sport, the added challenges of healthcare being the most complex, adaptive system, and how culture, analytics, and content contribute to improve outcomes and lower costs.
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.
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.
Recently, a study published in the Journal of the American Dental Association shows a growing trend among U.S. dentists to incorporate EDR technology into their practice. Learn about how technology adoption has changed over the last decade among dentists, as well as how they are using the technology in their practices.
Quality Improvement In Healthcare: Where Is The Best Place To Start?Health Catalyst
One of the biggest challenges providers face in their quality improvement efforts is knowing where to get started. In my experience, one of the best ways to overcome that “where do we begin?” factor is by using data from an enterprise data warehouse to look for high-cost areas where there are large variations in how health care is delivered. Variation found through the KPA is an indicator of opportunity. The more avoidable variation that is reflected in a particular care process, the more opportunity there is to reduce that variation and standardize the process. Suppose after performing a KPA you discover three areas of opportunity. How do you determine which one to pursue, especially if it’s your first journey into process improvement? The most obvious answer would seem to be the one with the largest potential ROI. That may not always be the best course to pursue, however. You will also want to take into consideration the readiness/openness to change in each of those areas.
From Installed to Stalled: Why Sustaining Outcomes Improvement Requires More ...Health Catalyst
The big first step toward building an outcomes improvement program is installing the analytics platform. But it’s certainly not the only step. Sustaining healthcare outcomes improvement is a triathlon, and the three legs are:
Installing an analytics platform
Gaining adoption
Implementing best practices
The program requires buy-in, enthusiasm, even evangelizing of analytics and its tools throughout the organization. It also requires that learnings from analysis translate into best practices, otherwise the program fails to produce results and will eventually fade away. Equally important is that top-level leadership across the organization, not just IT, supports and promotes the program ongoing. We explore each of the elements and how they come together to create successful and sustainable outcomes improvement that defines leading healthcare organizations.
Rising Healthcare Costs: Why We Have to ChangeHealth Catalyst
With rising healthcare costs, we hear so often about rate pressures on hospitals and the risk these pressures pose for their future. With healthcare reform, the burden of rising healthcare costs is shifting from payers to providers. Hospitals need to move toward value-based reimbursement models or they will face a -15.8 operating margin by 2021.Over the last 15 years premiums and employee contributions for an average family with health insurance sponsored by an employer have risen 167%. Along with these facts, government payers are reimbursing at lower levels becoming a negative margin for hospitals. These changes are not necessarily easy and can seem overwhelming. The question is whether your hospital will be a pioneer on the trail or will delay until it’s too late. The best way to get started is to understand exactly where you are today—your current cost structure and how each area of your organization is performing in terms of quality and cost, using an EDW.
From Surviving to Arriving: A Road Map for Transitioning to Value-Based Reimb...Health Catalyst
When it comes to transitioning to value-based reimbursement, health systems consistently ask two questions:
Why should I invest in reducing utilization when 90+ percent of my business is still fee-for-service (FFS)?
Where do I start?
This value-based reimbursement road map can help systems transition from barely surviving to successfully arriving (while respecting both shared-risk and FFS worlds):
Stop #1: Surviving—If you don’t get paid for the risk you take on, then you can’t survive long term.
Stop #2: Sustaining—Numerous clinical interventions occur in hospitals that systems can focus on to help improve the bottom line.
Stop #3: Succeeding—Build out competencies on a smaller population with aligned incentives so you can negotiate deeper alignment with key payers.
Stop #4: Arriving—The ultimate destination, where the lines between traditional healthcare delivery and public health are blurred.
Although healthcare is far from arriving at the value-based reimbursement destination, it can use this road map’s pragmatic strategies for heading down the right road.
The Top Seven Quick Wins You Get with a Healthcare Data WarehouseHealth Catalyst
In an industry known for its complex challenges that can take years to overcome, health systems can leverage healthcare data warehouses to generate seven quick wins—reporting and analytics efficiencies that empower healthcare organizations to thrive in a value-based world:
Provides significantly faster access to data.
Improves data-driven decision making.
Enables a data-driven culture.
Provides world class report automation.
Significantly improves data quality and accuracy.
Provides significantly faster product implementation.
Improves data categorization and organization.
Health systems that leverage healthcare data warehouses position themselves to do more than just survive the transition to value-based care; they empower themselves to achieve and sustain long-term outcomes improvement by enabling data-driven decision making based on high quality data.
Turn Research Into Care Delivery Improvements Using the Research Analytics Ad...Health Catalyst
Research is a complex yet vital component of improving care delivery, and it can be hindered by a variety of organizational and technical roadblocks:
Insufficient tools and processes
Poor infrastructure
No single source of truth for data
Health systems can overcome these common research roadblocks and turn analytics-powered research into care delivery improvements by using the Research Analytics Adoption model as a strategic roadmap.
The model consists of 8 levels designed to align operations and research priorities:
De-identified tools and data marts
Delivery of customized data sets
EDW-facilitated study recruitment
Centralized, research-specific data collection
Automated research operations reporting
Biobank/genomic data integration
Multi-site data sharing
Translational Analytics
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.
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.
The analytics journey to population health managementIBM Analytics
Critical drivers and changing expectations are transforming the healthcare industry, and advanced technologies are driving population health management with analytics. Start your analytics journey at http://ibm.co/healthcareanalytics
Breaking All the Rules: What the Leading Health Systems Do Differently with A...Health Catalyst
Voluntarily or not, we are entering the Age of Analytics in healthcare. As the healthcare industry emerges from the deployment of EMR’s and health information exchanges, enterprise data warehouses represent the next significant opportunity in information technology.
However, the meaningful use of an enterprise data warehouse is much more difficult to achieve than the meaningful use of an EMR. There are scant few organizations in healthcare that have achieved excellence in the “meaningful use” of an enterprise data warehouse.
Fortunate to see both failings and successes, Dale Sanders has spent the last 18 years analyzing the characteristics of healthcare analytics and data warehousing leadership. Join him as he shares his observations and lessons to help you and your organization become one of the success stories.
Presentation Covers:
Why C-level involvement is important, but not a guarantee of success, and can sometimes be a hindrance
The pivotal characteristics of culture, strategy, and execution that are critical to data warehousing and analytics success
How to balance tactical analytic victories without sacrificing strategic adaptability and scalability
Why Pioneer ACOs Are Disappearing and 3 Trends to Expect from the ExodusHealth Catalyst
Over of half the Pioneer ACOs have dropped from the program in the last four years, despite achieving $304 million in savings, and fifty percent of the participating ACOs receiving shared savings reimbursements. Why the exodus? Overutilization and inconsistent performance benchmarking and attribution hindered the ability of many participants to achieve success. The overall impact of the program, however, has been a positive one for value-based care. In the next 3-5 years, providers and health systems will bear more of the financial risk of the populations they serve. The proliferation of data, and the tools to analyze and exchange it, will be critical to the long-term success of value-based care.
The 4 Clinical Teams Needed to Drive Sustainable ImprovementHealth Catalyst
As the healthcare industry shifts from a fee-for-service to pay-for-performance and accountable care organizations are under greater pressure to make improvements to their clinical, financial and operational outcomes. As clinical quality improvement efforts grow systematically improving and sustaining care across the organization becomes more challenging. In order to ensure sustainable, long-term change a cross-functional, team-based approach that accelerates the implementation of change throughout the organization is necessary. This is the deployment system. Without a deployment system, improvement initiatives become a series of one off projects that may have a temporary positive impact, but soon return to the baseline level.
A review of some of the pitfalls in planning local practice development programmes, and a suggestions for how to produce a comprehensive and coherent plan that will achieve meaningful goals
5 Keys to Improving Hospital Labor ProductivityHealth Catalyst
The shift to value-based payments and a greater focus outcomes and cost reduction has hospital leaders seeking new ways to work more efficiently and improve patient satisfaction. Monitoring and analyzing productivity more effectively is crucial to ensure healthcare organizations are aligned with this goal. Getting overtime and labor productivity under control isn’t an easy task, but it’s not impossible. A few best practices can shorten the learning curve. These include 1) secure leadership commitment, 2) implement data governance, 3) ensure financial targets are defined, 4) create transparency, and 5) keep productivity metric balanced with quality goals.
How to Sustain Healthcare Quality Improvement in 3 Critical StepsHealth Catalyst
Many healthcare organizations don’t hold quality and cost gains because they don’t make improvement the backbone of their organization. Rather, they approach improvement as a series of initiatives. Ronald D. Snee, a fellow with the American Society for Quality states, “Many organizations focus on sustaining the gains only after improvement has been achieved. Intuitively, that may seem the correct sequence, but it is in fact backwards. The time to focus on sustaining improvement gains is well before the initiative is launched.”
Here are 3 critical organizational steps that can help sustain those gains.
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.
What Is the ROI of Investing in a Healthcare Data AnalystHealth Catalyst
Making the most of a healthcare data analyst’s knowledge is a key component to getting the best ROI from a hospital improvement project. But all too often, analysts serve merely as data validators — they justify the data that leadership wants validated. Because analysts aren’t decision makers, they don’t have the authority to ask the questions that can save a health system millions. Empowering analysts, however, enables them to ask the right questions — and find the right answers — that will lead to significant savings.
3 Phases of Healthcare Data Governance in AnalyticsHealth Catalyst
Healthcare data governance is a broad topic and covers more than data stewardship, storage, and technical roles and responsibilities. And it’s not easy to implement. It’s necessary, though, for health systems that are entering the world of analytics because the governance structure will enable the organizations to drive higher-quality, low cost care. In order for healthcare data governance to be most effective however, it needs to be adaptive because real healthcare data governance is much more fluid than any plan laid out on paper. Typically there are three phases that characterize successful analytics implementations: the early stage, the mid-term stage, and the steady state. As health systems begin to determine the effectiveness of their data governance strategy, it’s important to look at key metrics from their analytics implementations that will either trend up, remain solid, or trend down.
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.
CHIME LEAD San Francisco 2015 - Opening Keynote "What is Cyber Security and Why is it Crucial to Your Organization?"
Opening Keynote "What is Cyber Security and Why is it Crucial to Your Organization?"
Gaining C-Suite support for a robust cyber security strategy is critical for funding, adoption and overall success. To ensure organizational support, there must be a solid understanding of cyber security, how to protect the organization.s technology and data assets, the intersection of risk management and the impact cybercrimes can have on the organization.s financial viability, operations, patient care and reputation. The session addresses the current state and emerging trends with digital disruptions, cyber crimes and threats along with the impact they have on organizations. This session will discussed how this is changing the ways CIOs approach technology deployment and security management.
Learning Objectives:
Describe the components of effective cyber security and latest trends
Describe effective approaches addressing cyber threat and risk assessments
Describe the importance of investing in cyber security and the risks involved with not adequately addressing cyber security
Discuss ways to educate and drive awareness of on the importance of cyber security and risk management so it becomes part of the organization's culture
Quality Improvement In Healthcare: Where Is The Best Place To Start?Health Catalyst
One of the biggest challenges providers face in their quality improvement efforts is knowing where to get started. In my experience, one of the best ways to overcome that “where do we begin?” factor is by using data from an enterprise data warehouse to look for high-cost areas where there are large variations in how health care is delivered. Variation found through the KPA is an indicator of opportunity. The more avoidable variation that is reflected in a particular care process, the more opportunity there is to reduce that variation and standardize the process. Suppose after performing a KPA you discover three areas of opportunity. How do you determine which one to pursue, especially if it’s your first journey into process improvement? The most obvious answer would seem to be the one with the largest potential ROI. That may not always be the best course to pursue, however. You will also want to take into consideration the readiness/openness to change in each of those areas.
From Installed to Stalled: Why Sustaining Outcomes Improvement Requires More ...Health Catalyst
The big first step toward building an outcomes improvement program is installing the analytics platform. But it’s certainly not the only step. Sustaining healthcare outcomes improvement is a triathlon, and the three legs are:
Installing an analytics platform
Gaining adoption
Implementing best practices
The program requires buy-in, enthusiasm, even evangelizing of analytics and its tools throughout the organization. It also requires that learnings from analysis translate into best practices, otherwise the program fails to produce results and will eventually fade away. Equally important is that top-level leadership across the organization, not just IT, supports and promotes the program ongoing. We explore each of the elements and how they come together to create successful and sustainable outcomes improvement that defines leading healthcare organizations.
Rising Healthcare Costs: Why We Have to ChangeHealth Catalyst
With rising healthcare costs, we hear so often about rate pressures on hospitals and the risk these pressures pose for their future. With healthcare reform, the burden of rising healthcare costs is shifting from payers to providers. Hospitals need to move toward value-based reimbursement models or they will face a -15.8 operating margin by 2021.Over the last 15 years premiums and employee contributions for an average family with health insurance sponsored by an employer have risen 167%. Along with these facts, government payers are reimbursing at lower levels becoming a negative margin for hospitals. These changes are not necessarily easy and can seem overwhelming. The question is whether your hospital will be a pioneer on the trail or will delay until it’s too late. The best way to get started is to understand exactly where you are today—your current cost structure and how each area of your organization is performing in terms of quality and cost, using an EDW.
From Surviving to Arriving: A Road Map for Transitioning to Value-Based Reimb...Health Catalyst
When it comes to transitioning to value-based reimbursement, health systems consistently ask two questions:
Why should I invest in reducing utilization when 90+ percent of my business is still fee-for-service (FFS)?
Where do I start?
This value-based reimbursement road map can help systems transition from barely surviving to successfully arriving (while respecting both shared-risk and FFS worlds):
Stop #1: Surviving—If you don’t get paid for the risk you take on, then you can’t survive long term.
Stop #2: Sustaining—Numerous clinical interventions occur in hospitals that systems can focus on to help improve the bottom line.
Stop #3: Succeeding—Build out competencies on a smaller population with aligned incentives so you can negotiate deeper alignment with key payers.
Stop #4: Arriving—The ultimate destination, where the lines between traditional healthcare delivery and public health are blurred.
Although healthcare is far from arriving at the value-based reimbursement destination, it can use this road map’s pragmatic strategies for heading down the right road.
The Top Seven Quick Wins You Get with a Healthcare Data WarehouseHealth Catalyst
In an industry known for its complex challenges that can take years to overcome, health systems can leverage healthcare data warehouses to generate seven quick wins—reporting and analytics efficiencies that empower healthcare organizations to thrive in a value-based world:
Provides significantly faster access to data.
Improves data-driven decision making.
Enables a data-driven culture.
Provides world class report automation.
Significantly improves data quality and accuracy.
Provides significantly faster product implementation.
Improves data categorization and organization.
Health systems that leverage healthcare data warehouses position themselves to do more than just survive the transition to value-based care; they empower themselves to achieve and sustain long-term outcomes improvement by enabling data-driven decision making based on high quality data.
Turn Research Into Care Delivery Improvements Using the Research Analytics Ad...Health Catalyst
Research is a complex yet vital component of improving care delivery, and it can be hindered by a variety of organizational and technical roadblocks:
Insufficient tools and processes
Poor infrastructure
No single source of truth for data
Health systems can overcome these common research roadblocks and turn analytics-powered research into care delivery improvements by using the Research Analytics Adoption model as a strategic roadmap.
The model consists of 8 levels designed to align operations and research priorities:
De-identified tools and data marts
Delivery of customized data sets
EDW-facilitated study recruitment
Centralized, research-specific data collection
Automated research operations reporting
Biobank/genomic data integration
Multi-site data sharing
Translational Analytics
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.
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.
The analytics journey to population health managementIBM Analytics
Critical drivers and changing expectations are transforming the healthcare industry, and advanced technologies are driving population health management with analytics. Start your analytics journey at http://ibm.co/healthcareanalytics
Breaking All the Rules: What the Leading Health Systems Do Differently with A...Health Catalyst
Voluntarily or not, we are entering the Age of Analytics in healthcare. As the healthcare industry emerges from the deployment of EMR’s and health information exchanges, enterprise data warehouses represent the next significant opportunity in information technology.
However, the meaningful use of an enterprise data warehouse is much more difficult to achieve than the meaningful use of an EMR. There are scant few organizations in healthcare that have achieved excellence in the “meaningful use” of an enterprise data warehouse.
Fortunate to see both failings and successes, Dale Sanders has spent the last 18 years analyzing the characteristics of healthcare analytics and data warehousing leadership. Join him as he shares his observations and lessons to help you and your organization become one of the success stories.
Presentation Covers:
Why C-level involvement is important, but not a guarantee of success, and can sometimes be a hindrance
The pivotal characteristics of culture, strategy, and execution that are critical to data warehousing and analytics success
How to balance tactical analytic victories without sacrificing strategic adaptability and scalability
Why Pioneer ACOs Are Disappearing and 3 Trends to Expect from the ExodusHealth Catalyst
Over of half the Pioneer ACOs have dropped from the program in the last four years, despite achieving $304 million in savings, and fifty percent of the participating ACOs receiving shared savings reimbursements. Why the exodus? Overutilization and inconsistent performance benchmarking and attribution hindered the ability of many participants to achieve success. The overall impact of the program, however, has been a positive one for value-based care. In the next 3-5 years, providers and health systems will bear more of the financial risk of the populations they serve. The proliferation of data, and the tools to analyze and exchange it, will be critical to the long-term success of value-based care.
The 4 Clinical Teams Needed to Drive Sustainable ImprovementHealth Catalyst
As the healthcare industry shifts from a fee-for-service to pay-for-performance and accountable care organizations are under greater pressure to make improvements to their clinical, financial and operational outcomes. As clinical quality improvement efforts grow systematically improving and sustaining care across the organization becomes more challenging. In order to ensure sustainable, long-term change a cross-functional, team-based approach that accelerates the implementation of change throughout the organization is necessary. This is the deployment system. Without a deployment system, improvement initiatives become a series of one off projects that may have a temporary positive impact, but soon return to the baseline level.
A review of some of the pitfalls in planning local practice development programmes, and a suggestions for how to produce a comprehensive and coherent plan that will achieve meaningful goals
5 Keys to Improving Hospital Labor ProductivityHealth Catalyst
The shift to value-based payments and a greater focus outcomes and cost reduction has hospital leaders seeking new ways to work more efficiently and improve patient satisfaction. Monitoring and analyzing productivity more effectively is crucial to ensure healthcare organizations are aligned with this goal. Getting overtime and labor productivity under control isn’t an easy task, but it’s not impossible. A few best practices can shorten the learning curve. These include 1) secure leadership commitment, 2) implement data governance, 3) ensure financial targets are defined, 4) create transparency, and 5) keep productivity metric balanced with quality goals.
How to Sustain Healthcare Quality Improvement in 3 Critical StepsHealth Catalyst
Many healthcare organizations don’t hold quality and cost gains because they don’t make improvement the backbone of their organization. Rather, they approach improvement as a series of initiatives. Ronald D. Snee, a fellow with the American Society for Quality states, “Many organizations focus on sustaining the gains only after improvement has been achieved. Intuitively, that may seem the correct sequence, but it is in fact backwards. The time to focus on sustaining improvement gains is well before the initiative is launched.”
Here are 3 critical organizational steps that can help sustain those gains.
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.
What Is the ROI of Investing in a Healthcare Data AnalystHealth Catalyst
Making the most of a healthcare data analyst’s knowledge is a key component to getting the best ROI from a hospital improvement project. But all too often, analysts serve merely as data validators — they justify the data that leadership wants validated. Because analysts aren’t decision makers, they don’t have the authority to ask the questions that can save a health system millions. Empowering analysts, however, enables them to ask the right questions — and find the right answers — that will lead to significant savings.
3 Phases of Healthcare Data Governance in AnalyticsHealth Catalyst
Healthcare data governance is a broad topic and covers more than data stewardship, storage, and technical roles and responsibilities. And it’s not easy to implement. It’s necessary, though, for health systems that are entering the world of analytics because the governance structure will enable the organizations to drive higher-quality, low cost care. In order for healthcare data governance to be most effective however, it needs to be adaptive because real healthcare data governance is much more fluid than any plan laid out on paper. Typically there are three phases that characterize successful analytics implementations: the early stage, the mid-term stage, and the steady state. As health systems begin to determine the effectiveness of their data governance strategy, it’s important to look at key metrics from their analytics implementations that will either trend up, remain solid, or trend down.
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.
CHIME LEAD San Francisco 2015 - Opening Keynote "What is Cyber Security and Why is it Crucial to Your Organization?"
Opening Keynote "What is Cyber Security and Why is it Crucial to Your Organization?"
Gaining C-Suite support for a robust cyber security strategy is critical for funding, adoption and overall success. To ensure organizational support, there must be a solid understanding of cyber security, how to protect the organization.s technology and data assets, the intersection of risk management and the impact cybercrimes can have on the organization.s financial viability, operations, patient care and reputation. The session addresses the current state and emerging trends with digital disruptions, cyber crimes and threats along with the impact they have on organizations. This session will discussed how this is changing the ways CIOs approach technology deployment and security management.
Learning Objectives:
Describe the components of effective cyber security and latest trends
Describe effective approaches addressing cyber threat and risk assessments
Describe the importance of investing in cyber security and the risks involved with not adequately addressing cyber security
Discuss ways to educate and drive awareness of on the importance of cyber security and risk management so it becomes part of the organization's culture
Panel "Anatomy of a Health System- West Georgia Health"
This unique discussion series explores behind-the-scenes looks at the most progressive and high performing health systems in the country. Panelists will discuss critical areas such as inter-departmental relationships, IT as a critical aspect of strategy and more. Attendees will walk away with a better understanding of how departments can effectively work together, tangible strategies for delivering high quality care while maintaining an efficient and secure health information system.
Moderator: Mark Hagland, Editor-in-Chief, Healthcare Informatics
Sonya Christian, MBA, CHCIO, CPHIMS, Chief Information Officer, West Georgia Health
Paul Perrotti, CPA, SVP, Chief Financial Officer, West Georgia Health
Tracy Gynther, Director of Nursing, West Georgia Health
Jason Bhan, MD
EVP, Chief Medical Officer, Co-founder
Medivo
The Institute’s Unleashing Innovation in Healthcare program is designed to identify and expose innovative technologies and processes to solving many of the complex challenges facing the U.S. healthcare system. This unique 7 minute presentation gives health IT startups the chance to showcase ground-breaking solutions and approaches to advance the effective use of healthcare technology. Areas of emphasis include solutions and processes that can reduce cost, improve quality and demonstrate the efficacy of healthcare technology with a specific focus on Triple Aim drivers.
iHT² CMIO & Physician Executive Symposium, “Moving Past Hype to Outcomes” with John Showalter, M.D., MSIS, Chief Health Information Officer, University of Mississippi Medical Center
Kamal Jethwani, MD, MPH
Corporate Manager - Research and Innovation
Partners Healthcare Center for Connected Health
iHT² CMIO Symposium Beverly Hills – Opening Keynote: Kamal Jethwani, MD, MPH, Corporate Manager – Research and Innovation, Partners Healthcare Center for Connected Health
Case Study "The Tipping Point: Moving DIRECTly from Availability to Adoption"
Featuring: Dawn FitzGerald, Chief Executive Officer, Qsource
As part of the American Recovery and Reinvestment Act (ARRA), awards were made to states to create the necessary infrastructure for widespread adoption of Direct technology. In partnership with the State of Tennessee, Department of Finance and Administration, and Office of eHealth Initiatives, Qsource was contracted to provide technical assistance to healthcare professionals in selecting, implementing and using certified Direct technology to improve the quality and value of healthcare.
A key component of the project was the selection of pilot communities in which to identify, develop and implement use cases that were sufficient to create a social and behavioral threshold for universal community-based adoption of Direct technology. Together with ICA as our Direct technology vendor, Qsource implemented the pilot over 5 months, culminating in a report of lessons learned from these pilots. These lessons learned are being used to inform Tennessee’s statewide roll out of Direct with the goal of achieving 4,000 users by February, 2014. This presentation will highlight best practices and lessons learned with regard to Direct implementation, along with up to date information on the status of Tennessee’s statewide rollout of Direct technology.
Learning Objectives:
∙ Attendees will be able to describe three general principals of expanding provider adoption
∙ Attendees will receive a brief review of Rogers’ Innovation Adoption Curve and the various incentives that are effective promoting early IT adoption
along that curve
∙ Attendees will hear valuable lessons learned in IT adoption from three distinct healthcare communities
Health IT Summit in Houston 2014 Opening Keynote "HealthKit and Beyond: Mayo Clinic Connected Care" with John Wald, MD, Medical Director, Public Affairs, Mayo Clinic
Samuel Ethiopia
COO
DocSpera
The Institute’s Unleashing Innovation in Healthcare program is designed to identify and expose innovative technologies and processes to solving many of the complex challenges facing the U.S. healthcare system. This unique 7 minute presentation gives health IT startups the chance to showcase ground-breaking solutions and approaches to advance the effective use of healthcare technology. Areas of emphasis include solutions and processes that can reduce cost, improve quality and demonstrate the efficacy of healthcare technology with a specific focus on Triple Aim drivers.
Case Study "Enabling Data Interoperability through the Healthcare Continuum”
Charles Jaffe, MD
CEO
Health Level 7 (HL7)
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.
Health IT Summit San Francisco 2015 - Presentation "7 Ideas in 7 Minutes"
Camilo Barcenas
CEO
Dabo Health
The Institute’s Unleashing Innovation in Healthcare program is designed to identify and expose innovative technologies and processes to solving many of the complex challenges facing the U.S. healthcare system. This unique 7 minute presentation gives health IT startups the chance to showcase ground-breaking solutions and approaches to advance the effective use of healthcare technology. Areas of emphasis include solutions and processes that can reduce cost, improve quality and demonstrate the efficacy of healthcare technology with a specific focus on Triple Aim drivers.
Health IT Summit Beverly Hills 2014 – “A Use Case…Thoughts on How to Leverage your Technology and The Cloud” with Raymond Lowe, Senior Director, Information Technology, Dignity Health
iHT² Health IT Summit Beverly Hills – Opening Keynote, Molly Coye, MD, MPH, Chief Innovation Officer, UCLA Health System, Institute for Innovation Health
Presentation "Maximizing our IT Investments: Our Experience Integrating the Management of Research and Clinical Care Across the Health System and Practice"
Tesheia Johnson, MBA, MHS
Chief Operating Officer
Yale Center for Clinical Investigation
Associate Director for Clinical Research
Yale School of Medicine
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.
In the age of core system replacements, there are a lot of tough decisions that have to be made. Quirk Healthcare lends its expertise of this difficult topic in this weeks Insight.
An Overview of Kaiser Permanente - Integration and Information Systems in Hea...Empreender Saúde
Apresentação da Kaiser Permanente para o Brazilian Healthcare Trek: Mission Silicon Valley.
What is Kaiser Permanente?
Kaiser Permanente is committed to helping shape the future of health
care. We are recognized as the largest integrated delivery system in the
U.S. and one of the leading health care providers and not-for-profit
health plans.
Our strategy is to excel in providing high-quality, affordable health care
through our integrated delivery system, our investment in technology,
and our vision of supporting Total Health.
Our Mission and Vision
Mission: to provide high-quality, affordable
health care services and to improve the
health of our members and the communities
we serve.
Vision: To be a leader in Total Health by
making lives better.
7 regions serving 8 states and the District of
Columbia
More than 9.3 million members
More than 17,000 physicians and 174,000
employees (including 48,000 nurses)
38 hospitals (co-located with medical
offices)
608 medical offices and other outpatient
facilities
70 years of providing care (opened in 1945)
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.
Hadoop and Data Virtualization - A Case Study by VHAHortonworks
VHA (Voluntary Hospitals of America) is the largest member-owned health care company in the US delivering industry-leading supply chain management services and clinical improvement services to its members. At VHA, product, supplier, and member information is siloed across multiple sources. VHA sees value in consolidating the disparate data into a Data Lake, supported by the Hortonworks Data Platform, to enable the business users to discover the related data and provide services to their members. Because of their previous success with data virtualization, powered by Denodo, VHA decided to use data virtualization to enable their business users to discover data using the familiar SQL, and thus abstract their access directly to Hadoop.
During this webinar, you will learn:
- The role, use, and benefits of Hadoop in the Modern Data Architecture.
- How Hadoop and data virtualization simplified data management and enabled faster data discovery.
- What data virtualization is and how it can simplify big data projects.
- Lessons learned from and best practices for deploying data lake and data virtualization.
How to survive cms's most recent 3% hospital readmissions penalties increase Health Catalyst
Hospital readmissions rates are now at 3 percent, which means that health systems are feeling the financial burden of decreased payments from Medicare. They also need to track two more 30-day readmission rates. While there aren’t any new penalty measures planned for 2016, coronary artery bypass grafts will be added as yet another measure to track in 2017. By using three strategies to reduce readmission rates, health systems will experience better outcomes and decreased penalties. The three strategies include the following: (1) implementing a data warehouse that provides a single source of truth; (2) engaging a multidisciplinary team to lead the improvement efforts; (3) installing a sophisticated analytics platform.
Hadoop and Data Virtualization - A Case Study by VHADenodo
Access to full webinar: http://goo.gl/dQjxRe
This webinar by Hortonworks, VHA and Denodo provides information about the functionalities and benefits of Hadoop in Modern Data Architectures; how Hadoop along with data virtualization simplify data management and enable faster data discovery; and what data virtualization can offer in big data projects. VHA explains how they deployed data virtualization and Hadoop together and presents their lessons learned and best practices for data lake and data virtualization deployment.
Development and implementation of a system to support prediction of suicide risk in the Department of Veterans Affairs - DR. Robert Bossarte and Paul Bradley
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?