Learn how leading healthcare organizations are accelerating decision making, improving business processes, enhancing user engagement, reducing costs and driving remarkable growth and profitability.
The State of Consumer Healthcare: A Study of Patient ExperienceProphet
There is a vital change happening in healthcare: People are demanding to be treated as savvy consumers, who deserve choices, convenience and fair prices. The same revolution of consumerism that’s shaking up the way the world buys financial services, airline tickets and groceries is finally underway in healthcare. And as healthcare options multiply, this trend will only accelerate. Providers who are ready to respond by creating a strong patient experience are going to win, and those who aren’t will be left behind.
This presentation explains findings from the patient experience study which was conducted to understand the consumer healthcare experience by assessing the gap between patient and providers’ expectations and perceptions, and arm institutions with the ability to assess their own organization, define a successful strategy, and deliver on it.
View the webinar here: http://bit.ly/1RLgTFX
Realizing the Promise of Patient-Reported Outcomes MeasuresHealth Catalyst
Dr. Rachel Clark Sisodia, a champion of the system-wide adoption of Patient Reported Outcomes Measures at Partners HealthcCare, will share her experience and perspective on the relevance and necessity of Patient-Reported Outcomes Measures (PROMs). In this webinar, Dr. Sisodia will highlight how the PROMs ideas have been put into practice at Partners HealthCare.
Join us and learn:
Strategies and tactics for overcoming potential barriers to collecting and effectively using PROMs.
Through specific examples, how to demonstrate that PROMs can help deliver faster, more personalized care for individual patients.
How to collect and use advanced analytics to leverage aggregate PROMs data to inform clinical patient and provider decisions.
How to use outcomes metrics for quality improvement and comparative effectiveness.
Use ACE Scores in Machine Learning to Predict Disease Earlier and Improve Out...Health Catalyst
The Adverse Childhood Experience (ACE) study conducted by the CDC and Kaiser Permanent showed a strong correlation between ACEs and negative health outcomes later in life (e.g., risky health behaviors, chronic health conditions, and early death). ACE scores help paint a more complete picture of a person’s health history—a more comprehensive data snapshot of the entire patient.
Given that ACE scores build better data sets and machine learning relies on high-quality data, health systems should incorporate these nutrient-rich data sources into their machine learning models to better predict negative health outcomes, allow for earlier interventions, and improve outcomes.
Healthcare machine learning is evolving to use ACE scores and lifestyle data (e.g., eating habits) to improve population health management.
Value-Based Purchasing in healthcare is here to stay. Though the industry has come to terms with this reality, there are still more updates and changes than most of us can keep up with. In a world of accountable care, quality measures, shared savings, and bundled payments, everyone seems to have more questions than answers.
Bobbi Brown, Vice President, Financial Engagements outlines the latest announcements on Value-Based and how to prepare your organization for success in this new reality. Having previously worked in healthcare administration and finance for Kaiser, Sutter, and Intermountain, Bobbi is no stranger to translating complex legislative requirements for complex health systems.
Bobbi discusses the various programs offered by CMS, in particular:
What the programs are
How these programs are measured
What the current incentives are
Results of the programs to date
Organizational changes needed for the shift in programs
Unleashing Data: The Key To Driving Massive ImprovementsHealth Catalyst
Tom shares how investing in analytics training and infrastructure will help prepare for massive improvements in healthcare outcomes leading to sustained and distributed improvements throughout entire organizations.
Attendees will learn:
1. The key team roles and skillsets required for driving and sustaining massive improvements.
2. How to assess improvement opportunities from an effort and value perspective.
3. The most common mistakes in leveraging analytics and how to avoid them.
How to Use Data to Improve Patient Safety: A Two-Part DiscussionHealth Catalyst
As healthcare organizations continue to experience expenses growing faster than revenues, value based care, and consumer transparency of costs and quality, patient safety will be an important determinant of success. This session will describe the sociotechnical attributes of a safe system, the challenges, the barriers and opportunities, and how to use data and your culture of safety as a powerful tool to drive down adverse events.
Attendees will learn:
Why patient safety and quality are important.
How data can help improve patient safety.
The history of patient safety and where we are today.
What components make up a safety analytics culture.
How the internal safety culture directly impacts patient safety metrics.
To describe basic guidelines for improving a safety culture with analytics.
The State of Consumer Healthcare: A Study of Patient ExperienceProphet
There is a vital change happening in healthcare: People are demanding to be treated as savvy consumers, who deserve choices, convenience and fair prices. The same revolution of consumerism that’s shaking up the way the world buys financial services, airline tickets and groceries is finally underway in healthcare. And as healthcare options multiply, this trend will only accelerate. Providers who are ready to respond by creating a strong patient experience are going to win, and those who aren’t will be left behind.
This presentation explains findings from the patient experience study which was conducted to understand the consumer healthcare experience by assessing the gap between patient and providers’ expectations and perceptions, and arm institutions with the ability to assess their own organization, define a successful strategy, and deliver on it.
View the webinar here: http://bit.ly/1RLgTFX
Realizing the Promise of Patient-Reported Outcomes MeasuresHealth Catalyst
Dr. Rachel Clark Sisodia, a champion of the system-wide adoption of Patient Reported Outcomes Measures at Partners HealthcCare, will share her experience and perspective on the relevance and necessity of Patient-Reported Outcomes Measures (PROMs). In this webinar, Dr. Sisodia will highlight how the PROMs ideas have been put into practice at Partners HealthCare.
Join us and learn:
Strategies and tactics for overcoming potential barriers to collecting and effectively using PROMs.
Through specific examples, how to demonstrate that PROMs can help deliver faster, more personalized care for individual patients.
How to collect and use advanced analytics to leverage aggregate PROMs data to inform clinical patient and provider decisions.
How to use outcomes metrics for quality improvement and comparative effectiveness.
Use ACE Scores in Machine Learning to Predict Disease Earlier and Improve Out...Health Catalyst
The Adverse Childhood Experience (ACE) study conducted by the CDC and Kaiser Permanent showed a strong correlation between ACEs and negative health outcomes later in life (e.g., risky health behaviors, chronic health conditions, and early death). ACE scores help paint a more complete picture of a person’s health history—a more comprehensive data snapshot of the entire patient.
Given that ACE scores build better data sets and machine learning relies on high-quality data, health systems should incorporate these nutrient-rich data sources into their machine learning models to better predict negative health outcomes, allow for earlier interventions, and improve outcomes.
Healthcare machine learning is evolving to use ACE scores and lifestyle data (e.g., eating habits) to improve population health management.
Value-Based Purchasing in healthcare is here to stay. Though the industry has come to terms with this reality, there are still more updates and changes than most of us can keep up with. In a world of accountable care, quality measures, shared savings, and bundled payments, everyone seems to have more questions than answers.
Bobbi Brown, Vice President, Financial Engagements outlines the latest announcements on Value-Based and how to prepare your organization for success in this new reality. Having previously worked in healthcare administration and finance for Kaiser, Sutter, and Intermountain, Bobbi is no stranger to translating complex legislative requirements for complex health systems.
Bobbi discusses the various programs offered by CMS, in particular:
What the programs are
How these programs are measured
What the current incentives are
Results of the programs to date
Organizational changes needed for the shift in programs
Unleashing Data: The Key To Driving Massive ImprovementsHealth Catalyst
Tom shares how investing in analytics training and infrastructure will help prepare for massive improvements in healthcare outcomes leading to sustained and distributed improvements throughout entire organizations.
Attendees will learn:
1. The key team roles and skillsets required for driving and sustaining massive improvements.
2. How to assess improvement opportunities from an effort and value perspective.
3. The most common mistakes in leveraging analytics and how to avoid them.
How to Use Data to Improve Patient Safety: A Two-Part DiscussionHealth Catalyst
As healthcare organizations continue to experience expenses growing faster than revenues, value based care, and consumer transparency of costs and quality, patient safety will be an important determinant of success. This session will describe the sociotechnical attributes of a safe system, the challenges, the barriers and opportunities, and how to use data and your culture of safety as a powerful tool to drive down adverse events.
Attendees will learn:
Why patient safety and quality are important.
How data can help improve patient safety.
The history of patient safety and where we are today.
What components make up a safety analytics culture.
How the internal safety culture directly impacts patient safety metrics.
To describe basic guidelines for improving a safety culture with analytics.
Hospital Apps are a great way to engage with patients and studies show that they want to use them. These apps are not only convenient, but they allow patients to work with their providers and can result in a much more favorable outcome to their medical issues and overall health.
Here's a list of 8 different types of Mobile Hospital Apps.
For the full post, visit http://www.merraine.com/8-types-mobile-hospital-apps-3-features-patients-want/
Communication in Healthcare Culture: Eight Steps to Uphold Outcomes ImprovementHealth Catalyst
Healthcare leaders looking to establish and sustain a culture of large-scale outcomes improvement must communicate their health system’s values, beliefs, and norms throughout the entire organization. Effective communication spreads understanding of outcomes improvement, ensuring broad engagement and ongoing progress toward shared goals.
An eight-step strategy describes essential elements of organizational outcomes improvement communication plan:
Include a communications specialist on the outcomes improvement leadership team.
Analyze the stakeholders early and often.
Craft the central message around shared values.
Be a constant champion.
Commit to regular times and mechanisms for communication.
Make sure communication flows both ways.
Be transparent.
Be creative.
This Atrium Health study and pilot program revealed healthcare savings potential resulting from a tailored approach to medication adherence and specialty drug programs.
Population Health Management: Where are YOU?Phytel
This presentation explains how population health is fundamental to value-based delivery models, including key principles and definitions of PHM, as well as how to assess your organization’s “population health readiness.”
Health Equity: Why it Matters and How to Achieve itHealth Catalyst
According to the Robert Wood Johnson Foundation, health equity is achieved when everyone can attain their full health potential and no one is disadvantaged from achieving this potential because of social position of any other socially defined circumstance.
Without health equity, there are endless social, health, and economic consequences that negatively impact patients, communities, and organizations. The U.S. ranks last on measures of health equity compared to other industrialized countries. Healthcare contributes to this problem in many ways, including ignoring clinician biases toward certain populations and overlooking the importance of social determinants of health.
Fortunately, there are effective, tested steps organizations can take to tackle their health inequities and disparities (e.g., incorporating nonmedical vital signs into their health assessment processes and partnering with community organizations to connect underserved populations with the services they need to be healthy). Some health systems, such as Allina Health, have achieved impressive results by making health equity a systemwide strategic priority.
Opioid Epidemic - Causes, Impact and FutureCitiusTech
In 2017, everyday, more than 130 people died in the US after overdosing on opioids. This document talks about America's worst drug crisis ever and shares how technology can play a role to cope up with this epidemic.
Removing Barriers to Clinician Engagement: Partnerships in Improvement WorkHealth Catalyst
With clinicians driving many of the decisions that affect health system quality and cost, they’re an essential part of successful improvement efforts. Clinicians are, however, notoriously overburdened in today’s healthcare setting, and getting their buy-in for additional projects is often a big challenge. To successfully partner with these professionals in improvement work, health systems must develop engagement strategies that prioritize clinician needs and concerns and leverage data that’s meaningful to clinicians.
Improvement leaders can approach clinician engagement on three levels:
Clinician-led local programs.
Department- or division-level programs.
Leadership-level growth and improvement programs.
Ten Essential Steps for Your Readmission Reduction ProgramHealth Catalyst
Effective care management is essential during the first 30 days after discharge to prevent unnecessary readmission and associated costs. Care managers can follow a 10-step readmission reduction program to help patients stay on track with recovery and avoid acute care:
1. Call the patient within two days of discharge.
2. Assess the patient’s self-care capacity.
3. Frontload homecare and ensure patient 'touches', if appropriate.
4. Conduct a home safety evaluation.
5. Order and install durable medical equipment prior to discharge.
6. Order an emergency alert/medication reminder system and preprogram important phone numbers on patient’s phone.
7. Implement fall prevention program, intervention, and education.
8. Provide in-home education on new diagnoses or unmanaged chronic conditions.
9. Connect the patient with community resources.
10. Establish a best practice for follow-up phone calls after discharge.
Care Management - Critical Component Of Effective Population HealthHealth Catalyst
In this first webinar, of a two-part series, Dr. Kathleen Clary will share how analytics can be used to answer these questions to ensure delivery of a well-organized and effective care management program.
Dr. Clary will discuss how analytics can enable:
Data integration from multiple EMRs and data sources
Patient stratification and intake
Care coordination
Patient engagement
Performance measurement
We look forward to you joining us!
An ACO Case Study: Quality Improvement in HealthcareHealth Catalyst
OSF HealthCare—one of the first Pioneer Accountable Care Organizations (ACOs)—has a strong history of providing outstanding quality improvement in healthcare within hospitals, clinics, home health and other health provider entities across Illinois. For ACOs to succeed under value-based care, it is critical that organizations effectively coordinate care in the effort to maximize quality and safety, while minimizing costs and waste. It is also imperative that ACOs understand patients’ needs and values and incorporate them into all health decisions.
Please join Leslie Falk, Health Catalyst and the OSF team—recipient of the 2014 Illinois Hospital Association (IHA) Institute for Innovations in Care and Quality’s first annual Tim Philipp Award for Excellence in Palliative and End-of-Life Care—as they discuss how they leveraged technology and data to launch a community-wide supportive care initiative that has successfully maximized value for the populations they serve.
Attendees of the webinar will:
Learn how OSF is improving healthcare quality and delivering on the Triple Aim.
Explore innovative ways to improve care coordination.
Discover how technology-enabled solutions drives community, patient, and physician engagement.
Understand the benefit of a team approach to improving care coordination.
The Healthcare Outcomes Improvement Engine: The Best Way to Ensure Sustainabl...Health Catalyst
How do healthcare organizations create a systemwide focus on outcomes improvement? They build a healthcare outcomes improvement engine—a mechanism designed to drive successful and sustainable change.
Creating this outcomes improvement engine requires four critical components:
Engaging executives around outcomes improvement.
Prioritizing opportunities most likely to succeed.
Adequately staffing initiatives.
Communicating success early and often.
Once up and running, multidisciplinary engagement and standardized improvement processes fuel the outcomes improvement engine in its mission to produce sustainable, scalable improvement.
8 in 10 Hospitals Stand Pat on Population Health Strategy, Despite Uncertaint...Health Catalyst
A 2017 survey by Health Catalyst shows that despite uncertainty about the future of the Affordable Care Act, 80 percent of healthcare executives have not paused or otherwise changed their population health management strategy. 68 percent said that PHM is “very important” to their healthcare delivery strategy, while fewer than 3 percent said it was not important at all. The results show that executives view the move to value-based care as inevitable, and they view a PHM strategy as an integral part of their future efforts.
Quality Data is Essential for Doctors Concerned with Patient EngagementHealth Catalyst
It might be a bit of a leap to associate quality data with improving the patient experience. But the pathway is apparent when you consider that physicians need data to track patient diagnoses, treatments, progress, and outcomes. The data must be high quality (easily accessible, standardized, comprehensive) so it simplifies, rather than complicates, the physician’s job. This becomes even more important in the pursuit of population health, as care teams need to easily identify at-risk patients in need of preventive or follow-up care. Patients engaged in their own care via portals and personal peripherals contribute to the volume and quality of data and feel empowered in the process. This physician and patient engagement leads to improved care and outcomes, and, ultimately, an improved patient experience.
Healthcare analytics has evolved during Covid19, enabling us to better understand what patients express on telehealth consultations, live feeds, and social media channels. The sudden onset of the pandemic has resulted in a paradigm shift in the way healthcare has been traditionally managed and delivered. Governments and healthcare organizations have realized that AI-driven technologies can be optimized for patient care and patient voice data in newer and better ways.
Quality Improvement Strategies: quality improvement tools, factors that help to create and sustain Healthcare Informatics as a new field. quality improvement cycle: PDCA (Plan, Do, Check, Act) Cycle.
Hospital Apps are a great way to engage with patients and studies show that they want to use them. These apps are not only convenient, but they allow patients to work with their providers and can result in a much more favorable outcome to their medical issues and overall health.
Here's a list of 8 different types of Mobile Hospital Apps.
For the full post, visit http://www.merraine.com/8-types-mobile-hospital-apps-3-features-patients-want/
Communication in Healthcare Culture: Eight Steps to Uphold Outcomes ImprovementHealth Catalyst
Healthcare leaders looking to establish and sustain a culture of large-scale outcomes improvement must communicate their health system’s values, beliefs, and norms throughout the entire organization. Effective communication spreads understanding of outcomes improvement, ensuring broad engagement and ongoing progress toward shared goals.
An eight-step strategy describes essential elements of organizational outcomes improvement communication plan:
Include a communications specialist on the outcomes improvement leadership team.
Analyze the stakeholders early and often.
Craft the central message around shared values.
Be a constant champion.
Commit to regular times and mechanisms for communication.
Make sure communication flows both ways.
Be transparent.
Be creative.
This Atrium Health study and pilot program revealed healthcare savings potential resulting from a tailored approach to medication adherence and specialty drug programs.
Population Health Management: Where are YOU?Phytel
This presentation explains how population health is fundamental to value-based delivery models, including key principles and definitions of PHM, as well as how to assess your organization’s “population health readiness.”
Health Equity: Why it Matters and How to Achieve itHealth Catalyst
According to the Robert Wood Johnson Foundation, health equity is achieved when everyone can attain their full health potential and no one is disadvantaged from achieving this potential because of social position of any other socially defined circumstance.
Without health equity, there are endless social, health, and economic consequences that negatively impact patients, communities, and organizations. The U.S. ranks last on measures of health equity compared to other industrialized countries. Healthcare contributes to this problem in many ways, including ignoring clinician biases toward certain populations and overlooking the importance of social determinants of health.
Fortunately, there are effective, tested steps organizations can take to tackle their health inequities and disparities (e.g., incorporating nonmedical vital signs into their health assessment processes and partnering with community organizations to connect underserved populations with the services they need to be healthy). Some health systems, such as Allina Health, have achieved impressive results by making health equity a systemwide strategic priority.
Opioid Epidemic - Causes, Impact and FutureCitiusTech
In 2017, everyday, more than 130 people died in the US after overdosing on opioids. This document talks about America's worst drug crisis ever and shares how technology can play a role to cope up with this epidemic.
Removing Barriers to Clinician Engagement: Partnerships in Improvement WorkHealth Catalyst
With clinicians driving many of the decisions that affect health system quality and cost, they’re an essential part of successful improvement efforts. Clinicians are, however, notoriously overburdened in today’s healthcare setting, and getting their buy-in for additional projects is often a big challenge. To successfully partner with these professionals in improvement work, health systems must develop engagement strategies that prioritize clinician needs and concerns and leverage data that’s meaningful to clinicians.
Improvement leaders can approach clinician engagement on three levels:
Clinician-led local programs.
Department- or division-level programs.
Leadership-level growth and improvement programs.
Ten Essential Steps for Your Readmission Reduction ProgramHealth Catalyst
Effective care management is essential during the first 30 days after discharge to prevent unnecessary readmission and associated costs. Care managers can follow a 10-step readmission reduction program to help patients stay on track with recovery and avoid acute care:
1. Call the patient within two days of discharge.
2. Assess the patient’s self-care capacity.
3. Frontload homecare and ensure patient 'touches', if appropriate.
4. Conduct a home safety evaluation.
5. Order and install durable medical equipment prior to discharge.
6. Order an emergency alert/medication reminder system and preprogram important phone numbers on patient’s phone.
7. Implement fall prevention program, intervention, and education.
8. Provide in-home education on new diagnoses or unmanaged chronic conditions.
9. Connect the patient with community resources.
10. Establish a best practice for follow-up phone calls after discharge.
Care Management - Critical Component Of Effective Population HealthHealth Catalyst
In this first webinar, of a two-part series, Dr. Kathleen Clary will share how analytics can be used to answer these questions to ensure delivery of a well-organized and effective care management program.
Dr. Clary will discuss how analytics can enable:
Data integration from multiple EMRs and data sources
Patient stratification and intake
Care coordination
Patient engagement
Performance measurement
We look forward to you joining us!
An ACO Case Study: Quality Improvement in HealthcareHealth Catalyst
OSF HealthCare—one of the first Pioneer Accountable Care Organizations (ACOs)—has a strong history of providing outstanding quality improvement in healthcare within hospitals, clinics, home health and other health provider entities across Illinois. For ACOs to succeed under value-based care, it is critical that organizations effectively coordinate care in the effort to maximize quality and safety, while minimizing costs and waste. It is also imperative that ACOs understand patients’ needs and values and incorporate them into all health decisions.
Please join Leslie Falk, Health Catalyst and the OSF team—recipient of the 2014 Illinois Hospital Association (IHA) Institute for Innovations in Care and Quality’s first annual Tim Philipp Award for Excellence in Palliative and End-of-Life Care—as they discuss how they leveraged technology and data to launch a community-wide supportive care initiative that has successfully maximized value for the populations they serve.
Attendees of the webinar will:
Learn how OSF is improving healthcare quality and delivering on the Triple Aim.
Explore innovative ways to improve care coordination.
Discover how technology-enabled solutions drives community, patient, and physician engagement.
Understand the benefit of a team approach to improving care coordination.
The Healthcare Outcomes Improvement Engine: The Best Way to Ensure Sustainabl...Health Catalyst
How do healthcare organizations create a systemwide focus on outcomes improvement? They build a healthcare outcomes improvement engine—a mechanism designed to drive successful and sustainable change.
Creating this outcomes improvement engine requires four critical components:
Engaging executives around outcomes improvement.
Prioritizing opportunities most likely to succeed.
Adequately staffing initiatives.
Communicating success early and often.
Once up and running, multidisciplinary engagement and standardized improvement processes fuel the outcomes improvement engine in its mission to produce sustainable, scalable improvement.
8 in 10 Hospitals Stand Pat on Population Health Strategy, Despite Uncertaint...Health Catalyst
A 2017 survey by Health Catalyst shows that despite uncertainty about the future of the Affordable Care Act, 80 percent of healthcare executives have not paused or otherwise changed their population health management strategy. 68 percent said that PHM is “very important” to their healthcare delivery strategy, while fewer than 3 percent said it was not important at all. The results show that executives view the move to value-based care as inevitable, and they view a PHM strategy as an integral part of their future efforts.
Quality Data is Essential for Doctors Concerned with Patient EngagementHealth Catalyst
It might be a bit of a leap to associate quality data with improving the patient experience. But the pathway is apparent when you consider that physicians need data to track patient diagnoses, treatments, progress, and outcomes. The data must be high quality (easily accessible, standardized, comprehensive) so it simplifies, rather than complicates, the physician’s job. This becomes even more important in the pursuit of population health, as care teams need to easily identify at-risk patients in need of preventive or follow-up care. Patients engaged in their own care via portals and personal peripherals contribute to the volume and quality of data and feel empowered in the process. This physician and patient engagement leads to improved care and outcomes, and, ultimately, an improved patient experience.
Healthcare analytics has evolved during Covid19, enabling us to better understand what patients express on telehealth consultations, live feeds, and social media channels. The sudden onset of the pandemic has resulted in a paradigm shift in the way healthcare has been traditionally managed and delivered. Governments and healthcare organizations have realized that AI-driven technologies can be optimized for patient care and patient voice data in newer and better ways.
Quality Improvement Strategies: quality improvement tools, factors that help to create and sustain Healthcare Informatics as a new field. quality improvement cycle: PDCA (Plan, Do, Check, Act) Cycle.
At Snware Health, we believe that research has the power to transform lives and shape the future of health care. Through our unwavering commitment to innovation, collaboration, and scientific excellence, we strive to make a lasting impact on global health and improve the lives of individuals and communities around the world.
Healthcare data analytics refers to the collection and analysis of patient data to improve medical care and patient experience. Patients go through a continuum of caregiving from diagnosis to recovery. This medical journey is called patient experience (PX). Artificial intelligence, in the form of machine learning, can be applied to this type of analytics to make patient experience data reviews faster, more accurate, and multilingual.
What quality measures does the MCO have in placeSolutionManag.pdfformicreation
What quality measures does the MCO have in place?
Solution
Managed care organizations (MCOs) are responsible for ensuring that persons enrolled in their
plans receive quality health care. In addition, MCOs publicly funded through the Medicare and
Medicaid programs are required by State and Federal governments to meet certain quality
standards.
To fulfill their responsibilities, MCOs need ready access to a comprehensive array of evidence-
based clinical information and other clinical performance measures to enable them to evaluate
their providers\' performance and identify areas where improvement is needed. They also need to
know how their members feel about the care they receive and the way they are treated. Finally,
they need to ensure that both their providers and members are aware of the most recent
preventive care recommendations.
Valid, reliable, and cost-effective measurement tools must be available to make such
determinations, but these tools have not always been available. Furthermore, because the science
of performance measurement is relatively new, additional measures need to be developed and
those that have been developed can be improved. Therefore, to ensure that their enrollees in
MCOs receive high-quality care, MCOs need a reliable source to provide the most current and
scientifically sound tools.
In response to this need, the Agency for Healthcare Research and Quality (AHRQ) has funded
research to compile a database of evidence-based clinical guidelines and to develop clinical
performance measures, member satisfaction surveys, and preventive care recommendations that
can help MCOs meet their responsibilities. Additionally, AHRQ funds research and develops
performance measures and guidelines that MCOs, insurers, providers, and consumers can trust.
This report describes these tools and how they have been used and provides information on
where to learn more about them.
Background
Around one-half of insured Americans are enrolled in some form of managed care. However, as
the number of persons enrolled in MCOs increased in the 1990s, health care purchasers,
policymakers, and other stakeholders became concerned about the potential for health care
quality to diminish. In their view, the policies and practices imposed by MCOs to reduce what
MCOs define as unnecessary care might result in patients not receiving needed care. Therefore,
MCOs faced accreditation systems and other requirements to ensure that patients were receiving
the most appropriate care.
More recently, MCOs have had to address other emerging concerns such as: Rapid introduction
of new technologies, Data showing unexplained variations in the provision of care, Severe cost
pressures.
These factors have provided additional motivation to MCOs to develop systematic ways of
preserving and enhancing health care quality and cost-effectiveness.
Evidence-based practice guidelines and performance measures were developed to help ensure
that patients always receive the most appropri.
Healthcare big data analytics can not only improve patient care and health outcomes, but it can help healthcare providers diagnose diseases faster and more accurately than ever before. It can also contribute significantly to bettering the overall patient experience. The COVID-19 pandemic has perfectly illustrated the significance of big data analytics in healthcare. It allowed healthcare organizations to properly allocate resources to ensure that every patient gets effective treatment and also allowed governments to formulate the strategies needed to curb the spread of the disease.
Running Head: PHYSICIAN
PHYSICIAN 7
Health Care Provider: Physician
Marcia Harrison
Strayer University
Professor Hwangi Lu
July 28, 2019
Physician
Introduction
A healthcare system should be well organized and should consist of trained personnel who mainly work with a company or an organization. Physicians, nurses, doctors, pharmacists are some of the examples of health care providers. This is a system that provides professional services to patients that are in high need of treatment as inpatients who are treated generally as outpatients. I decided to select physicians as health care providers and also as medical practitioners since they are always in demand in the medical field, day after another. This is a professional medical practitioner or by simple terms, a doctor who has completed highly advanced training in providing a range of mostly non-surgical health care to patients. A physician should have adverse knowledge in a medical specialty. The main concern is to maintain, restore, and promote health via the study, treatment, and diagnosis of a disease of patients to ensure their wellbeing.
Direct Impact of a Physician
Most companies direct the efforts of their marketing towards physicians to the consumers who are their patients; the shots are put in the physicians through the sale of drugs and also by advertising in most of the medical journals. Most of the largest chunk is put in place towards the detailing of marketing expenditure through advertisement. Some direct adverse impacts towards physicians are the misleading claims, indications that are unapproved and also overstated clinical issues. It has led to patients heading to physicians on a matter regarding well preventive healthcare (Machanda, 2005) since most drug adverts have left patients having an excellent aid of discussions with their physicians regarding treatment through which only safe drugs are allowed.
Physicians and their patients have put into caution through dealing with advertisement of drugs as they use forums which are web-based for their advertisements as they have a literature of promotion on their background which makes them be excluded in the blacklist by companies and by the agency of the regulatory. The detailing through rifeness over the drugs life has been adopted as an explanation of better effectiveness and efficiency of physician firms and improvement of patient’s health. As an industry, it plays a vital role in the economy of the world and also promoting the welfare of the consumers who are the citizens of the nation towards the healthcare industry.
Strategy for a Physician
Data integrity is a critical strategy that physicians ought to adopt for the statistical review and pattern utilization as a technological step in the medical field, this will help in recoding the patients ...
This presentation will walk the viewer through the following key moments:
Slide 2 – About Ochsner
Slide 3 – Book of business
Slide 4 – Key differentiators
Slides 5/6 – The problems we’re solving
Slides 7/8 – Care team and collaboration
Slides 9/10 – Results, outcomes and ROI
Slides 11/12 – Employer experience and ideal client profile
Slides 13/14 – Employee engagement
More than just condition monitoring:
Ochsner Digital Medicine is remote clinical management, including clinicians and pharmacists on the care team to adjust medications accordingly.
Full clinical management - including medication management and ordering labs. The only program delivering at national scale that is backed by a not-for-profit, Center of Excellence health system. The only program that augments the member's PCP care via seamless data integration with Epic electronic health record.
18 Amazing Benefits of Data Analytics for Healthcare IndustryKavika Roy
https://www.datatobiz.com/blog/data-analytics-for-healthcare-industry/
A Business Intelligence (BI) and monitoring system, like any business, will significantly improve operational efficiency, reduce costs and streamline operations by evaluating and exploiting KPIs to recognize gaps and guide decision-making. Unlocking the usefulness of the data helps everyone from patients and caregivers to payers and vendors.
Let’s look at all the aspects in which a data analytics system will affect the healthcare sector.
Assessment 2
Quality Improvement Proposal
Overview:
Write a quality improvement proposal, 5–7 pages in length, that provides your recommendations for expanding a hospital's HIT to include quality metrics that will help the organization qualify as an accountable care organization.
Health care has undergone a transformation since the release of the Institute of Medicine's 2000 report
To Err Is Human: Building a Safer Health System.
The report highlighted medical errors as a contributing factor leading to poor patient outcomes. The Institute of Medicine challenged organizations to implement evidence-based performance improvement strategies in order to improve patient quality and safety. Multiple governmental and regulatory agencies, such as the Centers for Medicare and Medicaid Services (CMS) and the Agency for Healthcare Quality and Research (AHRQ), vowed to strengthen and improve incentives for participation, safety, quality, and efficiency in accountable care organizations (ACOs).
Health information technology (HIT) performs an essential role in improving health outcomes of individuals, the community, and populations. Health organizations, consumer advocacy groups, and regulatory committees have made a commitment to explore current and future opportunities that HIT offers to continue momentum to meet the Institute of Medicine's goal of improving safety and quality.
Understanding HIT is important to improving individual, community, and population access to health care and health information. HIT enables quick and easy access to information for both patients and providers. Accessible information has been shown to improve the patient care experience and reduce redundancies, thereby reducing health care costs.
This assessment provides an opportunity for you to make recommendations for expanding a hospital's HIT in ways that will help the hospital qualify as an ACO.
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
Competency 2: Explain the relationship between care coordination and evidence-based data.
Recommend ways to expand an organization's HIT to include quality metrics.
Identify potential problems that can arise with data gathering systems and outputs.
Competency 3: Use health information technology to guide care coordination and organizational practice.
Describe the main focus of information gathering in health care and how it contributes to guiding the development of organizational practice.
Competency 4: Communicate effectively with diverse audiences, in an appropriate form and style, consistent with applicable organizational, professional, and scholarly standards.
Write clearly and concisely, using correct grammar and mechanics.
Support main points, claims, and conclusions with relevant and credible evidence, correctly formatting citations and references using APA style.
Reference
.
Assignment 1 Legal Aspects of U.S. Health Care System Administrat.docxbraycarissa250
Assignment 1: Legal Aspects of U.S. Health Care System Administration
Due Week 3 and worth 200 points
Prevailing wisdom reinforces the fact that working in U.S. health care administration in the 21st Century requires knowledge of the various aspects of health laws as they apply to dealing with medical professionals. Further, because U.S. health care administrators must potentially interact with many levels of professionals beyond the medical profession, it is prudent that they be aware of any federal, state, and local laws that may be applicable to their organizations. Thus, their conduct is also subject to the letter of the law. They must evaluate the quality of their professional interactions and be mindful of the implications and ramifications of their decisions.
Nearly 65 million surgical operations were performed in 2015 in the U.S. resulting in an estimated 200,000 deaths from complications or other post-operative issues (Ghaferi, Myers, Sutcliffe, & Pronovost, 2016). Ongoing innovation in healthcare can improve patient outcomes. According to the Harvard Business Review article, The Next Wave of Hospital Innovation to Make Patients Safer, over the past several decades, there have been three distinct waves of surgical improvement: technical advancements, standardizing procedures, and high reliability organizing.
Assume the role of a top health administrator at We Care Hospital. You are interested in propelling the hospital to the next level by applying for the Malcolm Baldrige National Quality Award. However, you want to ensure surgical outcomes for patient morbidity and mortality rates. You begin by researching the Surgical Care Improvement Project (SCIP) aimed to improve adherence to quality protocols. You need to ensure the hospital policy is consistent with the law and that the hospital is correctly reporting Sentinel Events to the Joint Commission, a hospital regulatory agency.
Note: You may create and / or make all necessary assumptions needed for the completion of this assignment.
Write a three to four (3-4) page paper in which you:
1. Analyze how standardizing procedures and documenting steps can improve outcomes when performing a complex procedure. Review the peer-reviewed journal article, The Next Wave of Hospital Innovation to Make Patients Safer. Articulate your position as the top administrator concerned about the importance of professional conduct and negligence in SCIP quality guidelines.
2. High Reliability Organizing emphasizes the varying actions that can affect patient safety given that standardized systems ignore the fact that each patient is different. Ascertain the major ramifications when the health care team “fails to rescue” the patient. Identify what hospital policies should be in place and identify previous case laws.
3. Analyze the four (4) elements required of a plaintiff to prove medical negligence.
4. Discuss the overarching duties of the health care governing board in mitigating the effects of medical non- ...
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Accelerate Healthy Outcomes with Data and AI
1. Accelerate Healthy Outcomes
with Data and AI
Learn how leading healthcare organizations are accelerating decision making, improving
business processes, enhancing user engagement, reducing costs and driving remarkable growth
and profitability.
2. The Challenge
A leading healthcare services provider wanted
to reduce the incidence of drug addiction
among its patients and lower healthcare costs
by proactively identifying potential drug-seeking
behavior. Treating addiction is very expensive —
U.S. healthcare organizations spend more than
$500 billion annually caring for patients suffering
from opioid addiction alone. Drug addiction
also interferes with positive health outcomes
for patients being treated for other conditions,
and diverts much-needed resources from other
patients. Across a large healthcare organization,
however, it’s challenging to consistently identify
patients at risk of becoming addicted and alert
physicians to that risk.
The Solution
People seeking opioids or other addictive drugs
tend to behave in predictable ways and have
common characteristics. We developed an
artificial intelligence-driven machine-learning
solution for the healthcare provider’s compliance
function that parses doctors’ notes entered into
the organization’s electronic medical records
(EMR) to identify potential drug-seeking
behavior.
Our AI-based solution links text analytics
performed on physicians’ notes from patient
visits — including their impressions of a patient’s
behavior, appearance and diagnoses — with
data in the organization’s confidential third-party
EMR system. It then uses that text analytics and
advanced machine learning to generate system
alerts for doctors during patient visits when
a pattern of at-risk behavior is identified. This
enables caregivers to intercede with patients in
real time and take corrective actions.
Our Approach
We sought to identify common characteristics
of typical drug-seekers by examining three
sources of information: the patient’s diseases and
conditions as recorded in the EMR, the types of
drugs that historically had been prescribed to
the patient, and the behaviors and symptoms
exhibited due to each type of drug. Our solution
learns continuously from its own results to verify
the accuracy of its models and improve searches.
Preventive Care,with a Dose of Artificial Intelligence
2 / Accelerate Healthy Outcomes with Data and AI
RESULTS
$60 million identified in
organizational savings.
Identified 85,000 at-risk patients.
Captures behavior and
symptoms as patients interact with a
physician.
Identifies at-risk patients in
real time.
Read the full case study here.
3. The Challenge
In the healthcare industry, social determinants of
health — including economic stability, education,
healthcare system and physical environment —
are considered to be important factors in
addressing patients’ holistic healthcare needs
and outcomes.
A large healthcare provider was looking for a
resource with expertise in natural language
processing (NLP) that could mine physician
notes to identify these important determinants.
The goal was to create a cohesive, holistic patient
health history — and better serve patient needs
with regular, targeted and localized care — by
establishing interoperability across thousands of
healthcare provider electronic medical records
(EMR) systems.
The provider wanted to capture all caregiver
notes to analyze social determinants of health
in a structured format, and then ascertain
whether these factors had a significant impact on
patients’ health outcomes.
The Solution
We developed an AI and ML solution that
identifies and analyzes which social determinants
of health have a significant impact on a patient’s
health by mining the unstructured data found in
physicians’ notes.
By supporting patients with proper care in
their local communities, the system helps the
provider more closely monitor and control
patients’ overall health and illnesses. This has
resulted in fewer acute medical issues requiring
emergency room visits, which has lowered
healthcare costs overall.
Our Approach
We built a text mining engine that efficiently
analyzes physician notes to not just extract
specific words and relevant information but
also find meaningful insights and context. We
implemented an algorithm to analyze 900,000
records from approximately 200,000 patients.
The anonymized records comprise caregiver
notes taken during patient encounters. This
includes multiple notes from the same visit,
such as operative, clinical, post-operative and
discharge notes. Our solution helps identify
people in need of care for a particular disease
and points them to specific outreach programs
in their local area.
Improving Patient Insights, Care through AI Data Analytics
3 / Accelerate Healthy Outcomes with Data and AI
RESULTS
Identified 11% of encounters with
homelessness and food insecurity-
related social determinants.
Identified 34% of additional
encounters that lacked Z codes through
text mining.
Analyzed 900,000 patient records
for patient insights.
Improved quality of care and health
outcomes.
Reduced cost of care.
Read the full case study here.
4. The Challenge
In healthcare, one of the most important
measures of success is patient satisfaction. Every
hospital patient in the U.S. is asked to complete a
Consumer Assessment of Healthcare Providers
and Systems (CAHPS) survey. In 2017, a large
health network asked us to analyze its CAHPS
data using advanced artificial intelligence and
computer science techniques.
The healthcare provider’s goal was to fully
understand patients’ needs so it could improve
its CAHPS ratings and develop better, more
customized care. The challenge was to deliver
specific, actionable recommendations and
advice, using a combination of patient feedback
and clinical background data.
The Solution
We investigated data from 60,000 patients who
visited the organization’s health centers over
the course of six months. Our team evaluated
key patient-care issues such as communication,
responsiveness and pain management, and then
compiled a holistic set of analytics correlating the
patients’ clinical and social backgrounds, along
with their satisfaction feedback.
We were able to identify and target very specific
patient care issues, and show the healthcare
provider where it ranked on these issues in
relation to national averages. More importantly,
we were able to recommend specific actions
the organization could take to improve patient
care delivery, health outcomes and business
operations.
Our Approach
We delivered a detailed set of patient satisfaction
analytics, along with observations and specific
recommendations that would have the highest
impact on patient satisfaction levels and
resulting CAHPS scores. We made a number of
suggestions regarding patient communications,
such as older patients needing to be carefully
briefed on their medications and new mothers
requiring extra attention on discharge day. We
advised the client on resource planning to ensure
proper staffing for these special circumstances.
Using Data Science to Improve Patient Care and Satisfaction
4 / Accelerate Healthy Outcomes with Data and AI
RESULTS
Analyzed 60,000 CAHPS records.
Identified factors leading to lower
patient satisfaction.
Recommended specific
improvements for increasing patient
satisfaction, which is expected to
significantly improve the organization’s
CAHPS scores.
Read the full case study here.
5. The Challenge
Taking medications as prescribed can improve
not only patient health but also the success of
the companies producing pharmaceuticals and
other treatments.
A biotechnology company wanted to use its
case notes to understand why patients did or
didn’t follow their medication regimens. But
the descriptions of patient interactions were
often inaccurate, incomplete or inconsistently
formatted, which made it difficult or impossible
to derive valuable insights that the company
could capture and act upon.
The Solution
We worked with the biotech company to apply
AI, machine learning and natural language
processing to gain insight into factors that
motivate patients to start, discontinue and
switch use of medications. Using these insights,
the company was able to increase treatment
compliance by identifying roadblocks and
improving patient support.
The company created new key performance
indicators for its customer service processes,
workflow improvements and coaching for
improved patient engagement. Next steps
include more complete documentation of the
insights, training in documentation techniques
and exploring how this approach could improve
other functions, such as sales and marketing.
The company’s connection of the pilot project
to its overall strategic goals helped ensure the
project’s overall success. The company is now
implementing the project’s recommendations
throughout the organization and showcasing
the value of new techniques to enhance patient
engagement.
Our Approach
Working with the biotech company to
understand its products, patients and business
needs, we identified the words and phrases of
greatest interest within its case notes and built
the ontologies and taxonomies required to train
an artificial intelligence application to recognize
this content. Our life sciences technology experts
applied machine learning and NLP to years of
unstructured, free-text notes. To more effectively
share the findings with client stakeholders
and senior leadership, we created a 40-page
narrative that presented our results in an
understandable and actionable format.
How Unstructured Data Analysis Can Lead to Healthier
Patient Behavior
5 / Accelerate Healthy Outcomes with Data and AI
RESULTS
Uncovered 30 meaningful insights
and nine key recommendations.
Developed KPIs to monitor and
encourage actions that maximize
patient wellness and drug sales.
Improved training for patient
services staff by creating better
documentation and increasing the focus
on patient interactions.
Read the full case study here.
6. The Challenge
The stakes are high in oncology drug
development: The process is costly, the
competition is fierce, and the mission — saving
lives — is critical. A major pharmaceuticals
company wanted to improve its highly manual
process for conducting clinical trials for its cancer
drugs. The company wanted to reduce the time
it takes to conduct clinical trials for cancer drugs
while increasing the effectiveness and safety of
the drug development process.
The organization chose us as a partner for this
ongoing initiative because of our skills in data
science and artificial intelligence, as well as
our deep experience in life sciences and the
pharmaceutical industry.
The Solution
Our overall goal was to use AI to enhance
decision-making in the clinical trials phases of
oncology drug development. AI improves the
process of selecting candidates for specific drugs
by collecting evidence of drug effectiveness
based on chemical structure and how the
targeted body tissue responds.
We are working closely with the company’s
Pharmaceutical Development &
Commercialization organization to build an
automated process for data analysis in preclinical
trials. The power of AI helps us predict adverse
drug reactions, which results not only in a safer
and faster process but also a more streamlined
regulatory approval process.
Our Approach
The project is part of an ongoing research
and development initiative, with each phase
producing assets that can be reused as case
studies for future research problems. This
knowledge provides recommendations for
improving the process of capturing data in
other trials. Using AI and data science helps
shorten preclinical trial times by three to four
years and cut per-patient costs while improving
safety and producing reusable assets and
technical knowledge that can be utilized in future
initiatives.
Fast-Tracking Cancer Drug Development Using Data Science
6 / Accelerate Healthy Outcomes with Data and AI
RESULTS
A 3 to 4 year reduction in clinical
oncology trials.
8% to 10% cost savings per
patient.
Created a reusable, automated
data analysis pipeline for drug
candidates.
AI-enabled deployment of next-
generation candidate drug evaluation
methods.
Saved time and money by
streamlining the drug development
process.
Read the full case study here.
7. The Challenge
Over its 100 years, a global life sciences
company has acquired multiple complementary
businesses, including major pharmaceutical
research companies. The company has
accumulated a vast repository of global human
health data that it uses to address questions
and concerns, respond to legal inquiries and
incorporate in ongoing research.
While the organization had critical information
on its substantial range of drugs and
compounds, the data wasn’t readily accessible.
Faced with an expensive, legacy mainframe
environment that inhibited free and fast access
to its own data, the company chose to migrate
more than 150 terabytes of data to a new, globally
accessible cloud platform, increasing information
flexibility and lowering costs.
The Solution
Our AI Data Modernization Method has
substantially improved the company’s data
access times and sharply lowered its costs — $10
million over three years. It has reduced the IT
department’s reliance on an internal team and
an exhaustive process to design and deliver
custom reports. It also preserves the company’s
existing data access and data security protocols,
and it uses the same portal as the previously
outsourced mainframe hosting provider.
Having ownership of its database allows the
company to manage data across the business
lifecycle, using a unified security model that
ensures active data governance. The new
platform helps ensure compliance with global
regulations for storing and using health data
under the industry-standard rubric of “good
practice” quality guidelines and regulations
(GxP).
Our Approach
We examined the current state of the company’s
IT architecture, developed use cases to support
the blueprint for its desired future state, and then
designed and managed the successful migration
of all its historical data. Our solution, based
on Amazon Web Services (AWS), offered the
company a global repository.
This cloud-enabled architecture is a modernized,
highly responsive data ecosystem that helps
the company source, transform and consume
data through the cloud, leveraging artificial
intelligence and advanced analytical techniques.
The model provides the flexible data structure,
tools and accelerators needed to generate
maximum business value.
Healthy Data? That Means Reliable, Defensible and Accessible
7 / Accelerate Healthy Outcomes with Data and AI
RESULTS
95% reduction in external
mainframe data-hosting costs.
$3.6 million annual savings
through cloud migration.
50% improvement in data access
and retrieval speeds
Read the full case study here.
8. The Challenge
A specialty pharmaceuticals company faced
rising costs and delays in gathering, analyzing
and transmitting the information its sales
representatives needed to plan their physician
calls and meet their sales targets. Sales reps
struggled with incomplete, conflicting and hard-
to-use information, and the company lacked
a single, integrated source of marketing and
financial data to improve its decision making.
The Solution
Using our AI Data Modernization Platform, we
helped the company reduce the time and cost of
collecting and normalizing data from 20 internal
and external systems. Now, sales reps receive
customized advice on a daily basis on their laptop
or mobile devices, based on their location and
the current state of their accounts. This includes
recommendations on which accounts are the
most worthwhile to visit, which physicians and
administrators to see at each account and which
products or promotions they should spend the
most time discussing.
These reports also warn of any danger signs,
such as stagnating sales of a specific product at
an otherwise well-performing customer. For the
first time, the company now has a “single source
of truth” for all its financial and marketing data,
helping sales reps maximize revenue and profits.
Our Approach
In addition to reducing costs and speeding data
access, the new platform also provides advanced
analytics to each representative on a daily basis
and a customized plan of accounts to target the
optimal plan for meeting sales goals.
Pre-built analytics and our industry-aligned
data model reduced the time required to
deploy the platform by one-third, and our
change management capabilities ensured rapid
adoption, user satisfaction and timely retirement
of older platforms.
Data Modernization Cuts Costs, Speeds Data to Pharma
Sales Reps
8 / Accelerate Healthy Outcomes with Data and AI
RESULTS
$450,000 in annual savings for
gathering and distributing account data
to sales reps.
35% reduction in the time required
to produce reports for the sales force.
30% reduction in implementation
time through the use of our pre-built
analytics and industry-aligned data
model.
Maximized revenue and profits
with improved, real-time data.
Read the full case study here.