The document provides background information on e-MDs, an EHR software company founded in 1996. It discusses e-MDs' 160 employees, over 2,000 client practices, and original facility. It highlights what makes e-MDs unique, such as physician-guided development and financial strength. The document also summarizes e-MDs' involvement in HIT standards development, interoperability capabilities, strategic relationships, awards, testimonials and focus on continued research and development.
At eClinicalWorks, we are 5,000 employees dedicated to improving healthcare together with our customers. More than 130,000 physicians nationwide — and more than 850,000 medical professionals around the globe — rely upon us for comprehensive clinical documentation, along with solutions for Practice Management, Population Health, Patient Engagement, and Revenue Cycle Management.
How to Eliminate the Burden of Provider Quality Measurement: Able HealthHealth Catalyst
Quality measurement is complicated by incomplete data, calculations, visualizations, and workflows. As a result, quality measurement is a significant burden for medical groups. In fact, research that Health Affairs published in 2016 quantified the burden as 785 hours per provider per year.
That's why Health Catalyst is excited to introduce Able Health, the only quality measures solution that’s truly complete.
In this webinar, you’ll learn how Able Health combines all data, measures, visualizations, and workflows (monitor, improve, and submit) into one complete solution. Eliminating the complexity, and therefore the burden, of provider quality measurement means you spend more time improving performance and less time managing data.
You’ll also learn how each of the three core components of the Able Health solution makes more efficient quality measurement possible:
-Measures engine—calculates performance for all provider quality measures for all payer programs using every available data element.
-Performance dashboard—visualizes all performance metrics for daily tracking, prioritization, and internal reporting for all stakeholders, especially physicians.
-Submission engine—submits compliant data to payers.
How Northwestern Medicine is Leveraging Epic to Enable Value-Based CarePerficient, Inc.
Value-based care and payment reform are prompting hospitals and healthcare providers to more closely manage population health. Hospitals and health systems rely on technology and data to outline the characteristics of their population and identify high-risk patients in order to manage chronic diseases and deliver enhanced preventative care.
Our webinar covered how Cadence Health, now part of Northwestern Medicine, is leveraging the native capabilities of Epic to manage their population health initiatives and value-based care relationships across the continuum of care.
Our speakers:
-Analyzed how Epic’s Healthy Planet and Cogito platforms can be used to manage value-based care initiatives.
-Examined the three steps for effective population health management: Collect data, analyze data and engage with patients.
-Covered how access to analytics allows physicians at Northwestern Medicine to deliver enhanced preventive care and better manage chronic diseases.
-Discussed Northwestern Medicine’s strategy to integrate data from Epic and other data sources.
Why Accurate Financial Data is Critical for Successful Value TransformationHealth Catalyst
Approximately 50 percent of CMS payments are now tied to a value component. The CMS Innovation Center has allocated nearly $5.4 billion to implement 37 value-based payment models, with 55 percent of those funds marked for development and implementation of additional value-based models. The shift towards value and consumerism is pushing providers to adopt a novel financial mindset and strategy. The key component? Accurate financial data.
In this webinar Steve Vance, senior vice president and executive advisor at Health Catalyst, explores why accurate financial data, coupled with specific tools and strategies, is critical for successful transformation.
View this webinar for key insights into thriving in a value-based environment:
- Why it’s time to embrace new payment methodologies.
- What role financial and clinical data play in value- and risk-based contracts.
- Various organizational and operational strategies for successful financial transformation.
- How Health Catalyst solutions support an innovative data-driven financial process.
Industry Perspectives and Future Trends in Population HealthRohan DSouza
Presentation on industry perspectives on the future of population health management. This is a talk I gave at the eClinicalWorks National Users Conference in Nashville, TN (2015). With a lot of buzz surrounding pop health programs, I wanted to provide a roadmap on making the switch and succeeding.
At eClinicalWorks, we are 5,000 employees dedicated to improving healthcare together with our customers. More than 130,000 physicians nationwide — and more than 850,000 medical professionals around the globe — rely upon us for comprehensive clinical documentation, along with solutions for Practice Management, Population Health, Patient Engagement, and Revenue Cycle Management.
How to Eliminate the Burden of Provider Quality Measurement: Able HealthHealth Catalyst
Quality measurement is complicated by incomplete data, calculations, visualizations, and workflows. As a result, quality measurement is a significant burden for medical groups. In fact, research that Health Affairs published in 2016 quantified the burden as 785 hours per provider per year.
That's why Health Catalyst is excited to introduce Able Health, the only quality measures solution that’s truly complete.
In this webinar, you’ll learn how Able Health combines all data, measures, visualizations, and workflows (monitor, improve, and submit) into one complete solution. Eliminating the complexity, and therefore the burden, of provider quality measurement means you spend more time improving performance and less time managing data.
You’ll also learn how each of the three core components of the Able Health solution makes more efficient quality measurement possible:
-Measures engine—calculates performance for all provider quality measures for all payer programs using every available data element.
-Performance dashboard—visualizes all performance metrics for daily tracking, prioritization, and internal reporting for all stakeholders, especially physicians.
-Submission engine—submits compliant data to payers.
How Northwestern Medicine is Leveraging Epic to Enable Value-Based CarePerficient, Inc.
Value-based care and payment reform are prompting hospitals and healthcare providers to more closely manage population health. Hospitals and health systems rely on technology and data to outline the characteristics of their population and identify high-risk patients in order to manage chronic diseases and deliver enhanced preventative care.
Our webinar covered how Cadence Health, now part of Northwestern Medicine, is leveraging the native capabilities of Epic to manage their population health initiatives and value-based care relationships across the continuum of care.
Our speakers:
-Analyzed how Epic’s Healthy Planet and Cogito platforms can be used to manage value-based care initiatives.
-Examined the three steps for effective population health management: Collect data, analyze data and engage with patients.
-Covered how access to analytics allows physicians at Northwestern Medicine to deliver enhanced preventive care and better manage chronic diseases.
-Discussed Northwestern Medicine’s strategy to integrate data from Epic and other data sources.
Why Accurate Financial Data is Critical for Successful Value TransformationHealth Catalyst
Approximately 50 percent of CMS payments are now tied to a value component. The CMS Innovation Center has allocated nearly $5.4 billion to implement 37 value-based payment models, with 55 percent of those funds marked for development and implementation of additional value-based models. The shift towards value and consumerism is pushing providers to adopt a novel financial mindset and strategy. The key component? Accurate financial data.
In this webinar Steve Vance, senior vice president and executive advisor at Health Catalyst, explores why accurate financial data, coupled with specific tools and strategies, is critical for successful transformation.
View this webinar for key insights into thriving in a value-based environment:
- Why it’s time to embrace new payment methodologies.
- What role financial and clinical data play in value- and risk-based contracts.
- Various organizational and operational strategies for successful financial transformation.
- How Health Catalyst solutions support an innovative data-driven financial process.
Industry Perspectives and Future Trends in Population HealthRohan DSouza
Presentation on industry perspectives on the future of population health management. This is a talk I gave at the eClinicalWorks National Users Conference in Nashville, TN (2015). With a lot of buzz surrounding pop health programs, I wanted to provide a roadmap on making the switch and succeeding.
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better ...Health Catalyst
Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.
In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, walks through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and shares how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.
View this webinar to learn:
- How analysis of the same data set can result in different conclusions.
- Tools and techniques to get your organization back on track after a misstep.
- Lessons from two case studies that will help you drive better analytics in your own organization.
AcuMedical was formed with the purpose of designing, developing, and promoting a minimally-invasive, integrated suite of medical devices that help patients and healthcare professionals effectively manage a variety of chronic or acute pain conditions through electro-stimulation.
It is crucial to highlight the atrocities occurring within the pain management industry. More specifically, prescription opioid-based painkillers, whose crippling side effects have now led to the White House declaring an official “public health emergency” in the United States. The rise of opioids to the forefront of the healthcare system has not only led to exponentially increasing overdose and hospitalization cases but also encourages illegal drug distribution to a growing population of victims.
Electro-stimulation and needle therapy procedures are well-known for their safety and effectiveness in treating chronic and acute pain. They are recommended by the FDA as a non-pharma therapy and useful in opiate rehab. AcuMedical has developed patent-pending technologies that introduce a procedure-based, digital electro-needle therapy platform that collects data qualified toward reliable insurance reimbursement and streamlines the therapy making patient treatment safer, consistent, and more effective.
With the global market for pain management devices totaling more than $3.2Bn in 2016 within the growing $60Bn global pain management therapeutics market, our products are positioned to gain prominence and compete within the exponentially expanding $130Bn traditional Chinese medicine market in China post-internationalization.
United States Diagnostics Market Size, Share, Trend and Forecast 2026 | TechS...TechSci Research
According to #TechSci Research report, United States Diagnostics Market stood at USD30.08billion in 2020 and is expected to grow at a steady rate of 5.17% during the forecast period.
Gain More Insight: https://bit.ly/3wWI0do
Get Sample Report: https://bit.ly/3ltFdo6
Website: https://www.techsciresearch.com/
Market Research News: https://techsciblog.com/
Extending Your EMR with Business Intelligence SolutionsPerficient, Inc.
The best business intelligence applications start with one part EMR, one part financial applications, and one part operational applications stirred into real insights. These slides show examples from speakers that have successfully extended EMRs into managing costs, transmitting information to disease registries and improving patient care.
mHealth Israel_Future of Integrated Individualized Healthcare_Roche DiagnosticsLevi Shapiro
Presentation by Alexandra Eberhard, Sr. Director, Global Business Development, Roche Diagnostics on the "Future of Integrated Individualized Healthcare". Includes background about Roche Diagnostics and investments in innovation. Overview of Roche products and solutions with a portfolio covering the entire spectrum of diagnostics users. Emphasis on the triple aim of healthcare- The power of data and technology to enable the transformation from volume- to value-based healthcare. Interest in data for Pharma - drive more efficient R&D; DIA - develop novel patient care Dx solutions. Focus on the needs of labs, physicians & payers for better patient health. A suite of digital solutions that improve clinical & business outcomes. Suite of solutions to optimize the lab. Translating data into insights to achieve financial goals. A move from volume- to value-based care. New opportunities in the disease continuum- Holistic solutions approach. Expanding the focus towards earlier in the patient journey. Doing now what patients need next. Contact Alexandra Vallon-Eberhard, PhD MBA; Sr. Director Global Business Development; Diagnostics Lead for Innovation in Israel; Based in Basel, Switzerland; Email: alexandra.vallon_eberhard@roche.com
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Health Catalyst
Dale Sanders provides an update on the Healthcare Analytics Adoption Model. Dale published the first version of this model in 2002, calling it the Analytics Capability Maturity Model. The three intentions at that time are the same as they are today: 1) Provide healthcare leaders with a clear roadmap for the progression of analytic maturity in their organization. 2) Provide vendors with a roadmap to meet the analytic needs of clients. 3) Create a common framework to benchmark the progressive adoption of analytics at the industry level.
In 2012, Dale co-published a new version of the Model with Dr. Denis Protti, rebranding it the Healthcare Analytics Adoption Model and purposely borrowing from the widespread adoption of the EMR Adoption Model (EMRAM) published and supported by HIMSS. In 2015, Dale transferred the model under a creative commons copyright to HIMSS to create a vendor-independent industry standard that is now widely applied to support the original three intentions. He continues to collaborate with HIMSS to progress the Model.
During this webinar, Dale:
-Reviews the current state of the Health Catalyst Model, including recent changes that advocate a ninth level—direct-to-patient analytics and AI.
-Shares his observations of maturity in the market.
-Provides an update on the current state of the HIMSS Adoption Model for Analytic Maturity.
In today’s healthcare market, financial challenges rank as the number one issue hospitals face. To maintain a margin to support their mission, hospital CEOs must always be on the lookout for opportunities to boost revenue through improved reimbursement. In this webinar, Thibodaux Regional Medical Center’s Greg Stock, president and chief executive officer, and Mikki Fazzio, director, HIM and clinical documentation improvement, as they share how Thibodaux Regional leveraged analytics to provide actionable feedback to continuously improve the process, and how you can too.
Managing ‘discharged not final billed’ (DNFB) cases is one important way hospitals can improve financial performance by increasing collection on bills with incomplete payment due to coding or documentation gaps. Historically, Thibodaux Regional’s DNFB caseload had reached 500 cases per month, with about a third of patients discharged without a completed bill due either to missing documentation or incomplete coding. Thibodaux Regional tackled this process problem by expanding the use of analytics to measure and track every aspect of their billing services. The results were impressive and sustainable. Three years after launching its initial DNFB redesign effort, Thibodaux Regional has realized $2.4M in additional annual reimbursement and a 61% relative reduction in DNFB dollars, as well as a 6.2 reduction in AR days, resulting in significantly improved cash flow.
View this webinar to learn how to:
- Increase reimbursement levels by optimizing workflow analytics
- Ease the documentation burden on overloaded physicians with time-efficient communication
- Provide critical analytics visibility to key stakeholders
The Population Health Management Market 2015Lifelog Health
Population health management is a problem term because it can mean something different to each person who hears it. However, I believe that the words capture the overall spirit and energy of healthcare reform in a unique way. Providers are thinking big when it comes to a patient’s engagement, responsibility, and preventative care, and they’re leveraging technology to do it. I discuss an overall picture of PHM, present some useful technology, and tell a few PHM stories herein.
Network Optimization: Why Physician Quality Should Drive Your Benefits StrategyGrand Rounds
Employers and payers are increasingly interested in narrow network or "high performance" networks to control healthcare costs. But there's a science to reshaping your physician network to cut costs while avoiding member blowback. Learn how to optimize networks for cost and quality, while reassuring your employees that they can still access the care they need.
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
No Population health withouth the right foundationOrion Health
We examined foundational interoperability and the value of actionable longitudinal patient records – the cornerstone of a successful population health strategy.
We took an inside look at how North Dakota HIN (NDHIN), a leading healthcare institution paramount in the fight on some of population health’s biggest challenges, has succeeded in building a flexible and scalable technical foundation for the population health initiatives of its participating providers.
North Dakota HIN Information Technology Director, Sheldon Wolf, and Orion Health’s Vice President of Healthier Populations, Suzanne Cogan, presented on new deep data and the technology foundation in place to deploy pop health applications and services. Discover DNHIN strategy for care management, coordination and transition of care, and how upcoming integrated real-time analytics will quickly replace cumbersome reporting spreadsheets, home-grown tools and mix-match of siloed applications.
The North Dakota Health Information Network (NDHIN), is dedicated to improving healthcare by creating a secure, medical record sharing network for providers and consumers.
NDHIN Health Information Technology Office is responsible for implementing this information network, developing efficient health record systems, and implement value-added services for population health initiatives. The NDHIN manages 880,000 patients records and has 42 participating hospitals, 186 provider organizations, and two major payers.
In this presentation, you can see:
o The interoperability strategy used by NDHIN to build the foundation for its participants’ population health initiatives (Sheldon)
o How NDHIN has created a solid data foundation and their data strategy (Sheldon)
o The benefits of value-added services running on top of the critical data foundation (Sheldon on data today and strategy + services offering today and strategy)
The importance of a real-time analytics engine capable of creating a payer registry, a real-time patient registry, and a managed database
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
New Ways to Improve Hospital Flow with Predictive AnalyticsHealth Catalyst
Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.
Learn more about the following topics:
• How to engage leaders up front with the goal of operationalizing analytics.
• What types of machine learning methods best support operationalizing analytics.
• How to operationalize machine learning-driven results to improve patient flow.
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better ...Health Catalyst
Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.
In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, walks through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and shares how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.
View this webinar to learn:
- How analysis of the same data set can result in different conclusions.
- Tools and techniques to get your organization back on track after a misstep.
- Lessons from two case studies that will help you drive better analytics in your own organization.
AcuMedical was formed with the purpose of designing, developing, and promoting a minimally-invasive, integrated suite of medical devices that help patients and healthcare professionals effectively manage a variety of chronic or acute pain conditions through electro-stimulation.
It is crucial to highlight the atrocities occurring within the pain management industry. More specifically, prescription opioid-based painkillers, whose crippling side effects have now led to the White House declaring an official “public health emergency” in the United States. The rise of opioids to the forefront of the healthcare system has not only led to exponentially increasing overdose and hospitalization cases but also encourages illegal drug distribution to a growing population of victims.
Electro-stimulation and needle therapy procedures are well-known for their safety and effectiveness in treating chronic and acute pain. They are recommended by the FDA as a non-pharma therapy and useful in opiate rehab. AcuMedical has developed patent-pending technologies that introduce a procedure-based, digital electro-needle therapy platform that collects data qualified toward reliable insurance reimbursement and streamlines the therapy making patient treatment safer, consistent, and more effective.
With the global market for pain management devices totaling more than $3.2Bn in 2016 within the growing $60Bn global pain management therapeutics market, our products are positioned to gain prominence and compete within the exponentially expanding $130Bn traditional Chinese medicine market in China post-internationalization.
United States Diagnostics Market Size, Share, Trend and Forecast 2026 | TechS...TechSci Research
According to #TechSci Research report, United States Diagnostics Market stood at USD30.08billion in 2020 and is expected to grow at a steady rate of 5.17% during the forecast period.
Gain More Insight: https://bit.ly/3wWI0do
Get Sample Report: https://bit.ly/3ltFdo6
Website: https://www.techsciresearch.com/
Market Research News: https://techsciblog.com/
Extending Your EMR with Business Intelligence SolutionsPerficient, Inc.
The best business intelligence applications start with one part EMR, one part financial applications, and one part operational applications stirred into real insights. These slides show examples from speakers that have successfully extended EMRs into managing costs, transmitting information to disease registries and improving patient care.
mHealth Israel_Future of Integrated Individualized Healthcare_Roche DiagnosticsLevi Shapiro
Presentation by Alexandra Eberhard, Sr. Director, Global Business Development, Roche Diagnostics on the "Future of Integrated Individualized Healthcare". Includes background about Roche Diagnostics and investments in innovation. Overview of Roche products and solutions with a portfolio covering the entire spectrum of diagnostics users. Emphasis on the triple aim of healthcare- The power of data and technology to enable the transformation from volume- to value-based healthcare. Interest in data for Pharma - drive more efficient R&D; DIA - develop novel patient care Dx solutions. Focus on the needs of labs, physicians & payers for better patient health. A suite of digital solutions that improve clinical & business outcomes. Suite of solutions to optimize the lab. Translating data into insights to achieve financial goals. A move from volume- to value-based care. New opportunities in the disease continuum- Holistic solutions approach. Expanding the focus towards earlier in the patient journey. Doing now what patients need next. Contact Alexandra Vallon-Eberhard, PhD MBA; Sr. Director Global Business Development; Diagnostics Lead for Innovation in Israel; Based in Basel, Switzerland; Email: alexandra.vallon_eberhard@roche.com
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Health Catalyst
Dale Sanders provides an update on the Healthcare Analytics Adoption Model. Dale published the first version of this model in 2002, calling it the Analytics Capability Maturity Model. The three intentions at that time are the same as they are today: 1) Provide healthcare leaders with a clear roadmap for the progression of analytic maturity in their organization. 2) Provide vendors with a roadmap to meet the analytic needs of clients. 3) Create a common framework to benchmark the progressive adoption of analytics at the industry level.
In 2012, Dale co-published a new version of the Model with Dr. Denis Protti, rebranding it the Healthcare Analytics Adoption Model and purposely borrowing from the widespread adoption of the EMR Adoption Model (EMRAM) published and supported by HIMSS. In 2015, Dale transferred the model under a creative commons copyright to HIMSS to create a vendor-independent industry standard that is now widely applied to support the original three intentions. He continues to collaborate with HIMSS to progress the Model.
During this webinar, Dale:
-Reviews the current state of the Health Catalyst Model, including recent changes that advocate a ninth level—direct-to-patient analytics and AI.
-Shares his observations of maturity in the market.
-Provides an update on the current state of the HIMSS Adoption Model for Analytic Maturity.
In today’s healthcare market, financial challenges rank as the number one issue hospitals face. To maintain a margin to support their mission, hospital CEOs must always be on the lookout for opportunities to boost revenue through improved reimbursement. In this webinar, Thibodaux Regional Medical Center’s Greg Stock, president and chief executive officer, and Mikki Fazzio, director, HIM and clinical documentation improvement, as they share how Thibodaux Regional leveraged analytics to provide actionable feedback to continuously improve the process, and how you can too.
Managing ‘discharged not final billed’ (DNFB) cases is one important way hospitals can improve financial performance by increasing collection on bills with incomplete payment due to coding or documentation gaps. Historically, Thibodaux Regional’s DNFB caseload had reached 500 cases per month, with about a third of patients discharged without a completed bill due either to missing documentation or incomplete coding. Thibodaux Regional tackled this process problem by expanding the use of analytics to measure and track every aspect of their billing services. The results were impressive and sustainable. Three years after launching its initial DNFB redesign effort, Thibodaux Regional has realized $2.4M in additional annual reimbursement and a 61% relative reduction in DNFB dollars, as well as a 6.2 reduction in AR days, resulting in significantly improved cash flow.
View this webinar to learn how to:
- Increase reimbursement levels by optimizing workflow analytics
- Ease the documentation burden on overloaded physicians with time-efficient communication
- Provide critical analytics visibility to key stakeholders
The Population Health Management Market 2015Lifelog Health
Population health management is a problem term because it can mean something different to each person who hears it. However, I believe that the words capture the overall spirit and energy of healthcare reform in a unique way. Providers are thinking big when it comes to a patient’s engagement, responsibility, and preventative care, and they’re leveraging technology to do it. I discuss an overall picture of PHM, present some useful technology, and tell a few PHM stories herein.
Network Optimization: Why Physician Quality Should Drive Your Benefits StrategyGrand Rounds
Employers and payers are increasingly interested in narrow network or "high performance" networks to control healthcare costs. But there's a science to reshaping your physician network to cut costs while avoiding member blowback. Learn how to optimize networks for cost and quality, while reassuring your employees that they can still access the care they need.
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
No Population health withouth the right foundationOrion Health
We examined foundational interoperability and the value of actionable longitudinal patient records – the cornerstone of a successful population health strategy.
We took an inside look at how North Dakota HIN (NDHIN), a leading healthcare institution paramount in the fight on some of population health’s biggest challenges, has succeeded in building a flexible and scalable technical foundation for the population health initiatives of its participating providers.
North Dakota HIN Information Technology Director, Sheldon Wolf, and Orion Health’s Vice President of Healthier Populations, Suzanne Cogan, presented on new deep data and the technology foundation in place to deploy pop health applications and services. Discover DNHIN strategy for care management, coordination and transition of care, and how upcoming integrated real-time analytics will quickly replace cumbersome reporting spreadsheets, home-grown tools and mix-match of siloed applications.
The North Dakota Health Information Network (NDHIN), is dedicated to improving healthcare by creating a secure, medical record sharing network for providers and consumers.
NDHIN Health Information Technology Office is responsible for implementing this information network, developing efficient health record systems, and implement value-added services for population health initiatives. The NDHIN manages 880,000 patients records and has 42 participating hospitals, 186 provider organizations, and two major payers.
In this presentation, you can see:
o The interoperability strategy used by NDHIN to build the foundation for its participants’ population health initiatives (Sheldon)
o How NDHIN has created a solid data foundation and their data strategy (Sheldon)
o The benefits of value-added services running on top of the critical data foundation (Sheldon on data today and strategy + services offering today and strategy)
The importance of a real-time analytics engine capable of creating a payer registry, a real-time patient registry, and a managed database
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
New Ways to Improve Hospital Flow with Predictive AnalyticsHealth Catalyst
Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.
Learn more about the following topics:
• How to engage leaders up front with the goal of operationalizing analytics.
• What types of machine learning methods best support operationalizing analytics.
• How to operationalize machine learning-driven results to improve patient flow.
Going Beyond the EMR for Data-driven Insights in HealthcarePerficient, Inc.
Join Dr. Marcie Stoshak-Chavez, MD, FACEP, Director of Healthcare Strategic Advisory Services at Perficient and Mr. J.D. Whitlock, Director of Clinical & Business Intelligence at Catholic Health Partners to learn how analytics is being used to measure and monitor performance and provide service-line directors and financial administrators with reporting and analysis that enhances clinical care processes and business operations.
Learn how clinicians and administrators armed with the data-driven insights from the EMR and beyond can:
Derive meaningful insights for care delivery by analyzing clinical, financial and operational data
Collaborate more effectively and improve quality of care by securely sharing insights among providers
Meaningfully measure and understand performance across key Federally mandated measures and take prescribed action
Stay on top of shifts in regulatory policy that impact reimbursements and quality requirements
OSEHRA is a Great Business Opportunity for Systems IntegratorsShahid Shah
This is an opinionated look at why current health IT systems integrate poorly and how it’s a big opportunity for the systems integrators to profit from supporting the OSEHRA Community.
Background:
* EHRs are not the center of the healthcare data ecosystem.
* Applications come and go, data lives forever. He who owns, integrates, and uses data wins in the end.
* Never leave data in the hands of the application only.
Key takeaways:
* OSEHRA is major business opportunity for ISVs and systems integrators
* There’s nothing special about health IT data that justifies complex, expensive, or special technology.
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
Creating Interoperable Medical Devices that fit into Hospital Enterprise IT E...Shahid Shah
Creating connected medical devices is challenging but doing so in an interoperable manner that can easily and flexibly fit into modern hospital IT environments is even more difficult. This presentation provides sage advice on how to design connected life-critical medical devices so that they work well within modern hospital environments.
Open Source is a great opportunity for EHR, Digital Health, and Health IT Int...Shahid Shah
Presented at the OSEHRA Summit 2014, this talk focused on:
* OSEHRA is major business opportunity for ISVs and systems integrators
* Open source software and associated business models can satisfy most needs.
* There’s nothing special about health IT data that justifies complex, expensive, or special technology.
Chris Cleary, Vice President of Corporate Development, Medtronic presented at MEDTECH 2014 on Fulfilling the Mission: Medtronic Embraces Change to Respond to an Evolving Healthcare Landscape.
Perspectives on health information systems in indian hospitals dr devtaneja_m...DrDevTaneja
The Health Information Systems in Indian hospital is in an evolutionary phase. As the Indian Healthcare Industry is maturing, there is need for Strategic IT solutions vis-a-vis prevailing Transaction reorting IT solutions. The Challenges are both at the vendor level as well as Owner level. Plus there is also lack of Healthcare IT Consulting talent in the country.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Best Practices for Enabling HIE and Incorporating Capabilities into EHR Workf...Justin Campbell
Health Information Exchange (HIE) allows health care providers to access and share a patient’s medical information securely and electronically, providing a unified view of patient data across health care organizations. HIE enhances clinicians’ workflow and their ability to connect, coordinate, and collaborate on patient care quickly and easily. However, health care organizations frequently struggle with last-mile connectivity from their clinical system of record to the receiving system and incorporating HIE capabilities into EHR workflows. This session will provide a framework for successful HIE onboarding including data access, conformance testing & validation, as well as share strategies for implementing HIE capabilities at the point of care. This session will also introduce the concept of Patient Centered Data Home and illustrate how the exchange of information utilizing the PCDH model is a cost-effective, scalable solution to assuring real-time clinical data is available whenever and wherever care occurs to improve the quality of care.
Harnessing the Power of Healthcare Data: Are We There YetHealth Catalyst
What can healthcare learn from Formula One racing? According to Dr. Sadiqa Mahmood, SVP of medical affairs and life sciences for Health Catalyst, race support teams leverage about 30TB of baseline data to create a digital twin of the car, track, and racer for simulation models that drive decisions at each race. Applied in the healthcare setting, a digital twin can help clinicians better understand each patient and their health conditions and circumstances in real time and make comprehensive, informed care decisions. But for the healthcare digital twin to happen, the industry must move away from data silos and towards a digital learning healthcare ecosystem.
The Pegwin Insights software platform is used by caregivers at the point of care to measure and monitor a patient’s risk profile and receive early insight into a patient’s deterioration so that timely intervention and preventive action can be taken to avoid post-operative complications. Pegwin Insights is the only evidence-based Machine Learning and AI solution to assist caregivers with better-than-human accuracy in real-time.
2. PAGE 2
Company Background
• Founded in 1996 by David L. Winn, M.D.
• Headquartered in Austin, Texas
• Over 160 proud employees
• The e-MDs Team is a collaborative mix of physicians,
nurses, pharmacists, practice managers, developers, &
seasoned software professionals
• Over 2,000 e-MDs practices and counting (ambulatory
clinics, urgent care, FQHC/RHC, residency programs,
community health networks, RHIOs, IPAs, MSOs, GPOs,
integrated delivery networks, etc...)
3. PAGE 3
Company Background
e-MDs original 30,000 square foot facility shown above was used as the
primary development and testing center until March 2006.
4. PAGE 4
What Makes e-MDs Unique?
• Development guided by physicians, for physicians
• Single database solution
• Financial strength allows us to be customer-
driven, without investor pressures
• Consistently high industry ratings among EHR
users
• Corporate ethos of honesty, integrity and
accountability
• State-of-the-art, agile, next generation
technologies
• e-MDs cyber clinic provides real-time, real world
feedback on our software
5. PAGE 5
HIT Standards
• Active nationally in EHR promotion and technical
specifications development.
– Appointed to CCHIT (Certification Commission for Health
Information Technology), an organization tasked by HHS to
establish EHR standards. CCHIT was awarded 7.5 million
dollars in November 2005 to help fund the project.
– Nominated to the HL7 Technical committee by members of
CCHIT to serve as technical liaison.
– Founding member of the EHRVA (Electronic Health
Records Vendors Association).
• Started CCR Acceleration Task Force, voting member ASTM
E.31 for CCR
• One of 5 Pilot sites for ELINCS (EHR lab interoperability and
connectivity standards)
6. PAGE 6
e-MDs: On The Leading Edge of HIT
• Actively contributing to American Health
Information Community (AHIC) efforts to
accelerate EHR adoption
– HITSP, CCHIT, NHIN interoperability,
• 2008 IHE Connectathon Certified
– Allows information exchange between clinics,
hospital, labs, pharmacy, and patient (via web portal
and PHR)
• Population reporting, real-time usage of
evidence-based medicine, DOQ-IT, and registry
reporting.
8. PAGE 8
Financial Position
• Privately owned and operated with no
venture capital or outside investment
• Debt free
• Reinvesting in continued R&D and
enhanced support services – still profitable
• Untapped $5 million line of credit at Bank
of America
• Professionally managed growth
11. PAGE 11
e-MDs Strategic Relationships
• Rose Medical Center
– Denver, CO-based IPA with over 400 physician members
• Resurrection Health Care/PPSA IPA
– Chicago, IL-based IPA with over 3,600 physician members
• HealthSpring/NewQuest
– One of the nation’s largest managed care organizations
– Over 100,000 Medicare members, over 5 major markets
– Over 12,000 physicians in extended network
• Genesis Physicians Group
– Dallas, TX-based IPA with over 1600-members
• Children’s Physician Network
– Minneapolis, MN-based GPO with over 250 provider members
• Volunteers in Medicine
– Nation-wide, 200+ provider volunteer clinics
12. PAGE 12
e-MDs Hospital Affiliations Nation-Wide
•Westcare Healthcare Systems
•Rutherfold Hospital
•Novant Health
•Lexington Medical Center
•New Braunfels, TX
•Valley Regional Hospital
•Citizens Medical Center
•Uvalde Memorial Hospital
•Hendrick Medical Center
•Yoakum County Hospital
•Coon Memorial Hospital
•Moore County Hospital
•…and counting
•Dewey County,
•El Paso Community
•Saline
•Natchitoches
•Bingham Memorial Hospital
•St. Mary’s Choice Medical Group
•EXCITA RHIO
•Wood County Hospital
•Armstrong Memorial
•Galion Community
•Sunlink Health
•Providence Memorial Hospital
•Tenet Health System
13. PAGE 13
Why is CCHIT Important?
• e-MDs Solution SeriesTM
among 89 Products to receive CCHIT Certification in
2006
• e-MDs Solution SeriesTM
among only 22 Products (19 companies) to receive
CCHIT Certification for 2007
• CCHIT’s mission: accelerate the adoption of HIT by creating an efficient, credible
and sustainable certification program. Criteria focuses on functionality,
interoperability and security.
• Over 300 products, thousands of marketing claims
• Over 200 functional requirements must be met each year
• CCHIT has identified & certified real-world, essential functionality criteria
– Data security, protecting patient information, necessary features
• The only federally recognized standards body
• A nationally accepted check list for buyers to ensure legitimacy
• Eligibility criteria for higher reimbursement (CMS P4P), Stark subsidies (via
hospitals, lab vendors, etc.), malpractice insurance reductions, RHIO
memberships
21. PAGE 21
e-MDs 2008 Functionality Ratings
* Chart and Statistics compiled by AAFP 2008 User Satisfaction Survey
300% more #1 rankings than the next best product!
-20
-15
-10
-5
0
5
10
15
20
Ratings
e-MDs Praxis Prac Partner Centricity Epic HealthMatics eCW Amazing
charts
SoapWare NextGen Touchworks Cerner Misys
Functionality Items
2008 AAFP Functionality Ratings
Top Honors
Lowest Rankings
22. PAGE 22
e-MDs 2008 Functionality Rankings
“Top Performer”
Award
1st
Place
1st
Place
1st
Place
1st
Place
1st
Place
1st
Place
1st
Place
1st
Place
1st
Place
1st
Place
Inter-office tasking
Review of Chart
information
Entering/Reviewing
Test Orders
Patient Education
Materials
Health Maintenance
Alerts
Create & Review
Scanned Documents
Telephone Messages
* Statistics compiled by AAFP 2008 User Satisfaction Survey
23. PAGE 23
Ease of Use Defined by the AAFP
• EHR allows individual, user-specific
customization
• EHR minimizes data input
• EHR offers multiple note creation options
• EHR is FAST
-Minimal wait times between screens
-Minimal boot times, etc.
Ease of Use translates into faster documentation, more
efficient clinical workflow.
24. PAGE 24
EHR Partner Satisfaction Site Visit 2007
CCHIT
Pricing
e-MDs Pending Yes Low
McKesson Pending Yes Medium
GE Pending No Would Not Provide
Medinformatix N/A (n=5) Not Avail No High
InteGreat N/A Not Avail No Would Not Provide
iSalus N/A Not Avail No Low
Glenwood N/A (n=1) Not Avail No Low
American College of Physicians
(ACP) EHR Partner Study Summary
27. PAGE 27
Product Flexibility & Clinical Content
Primary Care
65%
Specialty
35%
Multi-specialty
15%
Surgical
9%
Other
76%
Designed for large enterprises
Architected for multi-specialty, multi-site deployments
28. PAGE 28
Specialty Sampling
Family Medicine
Neurosurgery
Dermatology
Endocrinology
Obstetrics & Gynecology
Orthopaedics
Rheumatology
Neurology
Psychiatry
Psychology
Physical Medicine &
Rehabilitation
Urology
Gastroenterology
Vascular Surgery
Cardiology
Pulmonary Medicine
Ophthalmology
Otolaryngology
General Surgery
Pain Management
Hand Surgery
Nephrology
Internal Medicine
Pediatrics
and more..
30. PAGE 30
Research and Development
• 2 Major Releases Per Year
• 35% reinvestment back into R&D
• Thorough Q/A testing, Alpha, Beta, Charlie, GA
• e-MDs “content update manager”
• Active e-MDs User Community
• e-MDs National & Regional Users Group
Meetings
• e-MDs Customer Advisory Board
• Every customer has Input
• Users help determine new functionality
31. PAGE 31
e-MDs Rounds Mobile Charge Capture
Mobile Scheduling and Hospital Charge
capture solution for the Pocket PC which
integrates with e-MDs scheduling, billing, and
charting modules.
32. PAGE 32
DOQ-IT
guidelines are
clearly identified
and come pre-
packaged with all
related visit
templates.
Helpful hints and
decision support
related to each
DOQ-IT measures
present
themselves at
critical times
during the patient
encounter.
e-MDs DOQ-IT Initiatives: Compliance at the point of care
33. PAGE 33
e-MDs DOQ-IT Initiatives: Patient Monitoring Tools
Provides tools to
monitor and manage
a clinic’s entire
patient population
based on all DOQ-IT
Guidelines
Not only can the
provider measure
compliance, they can
also take immediate
action to remedy
situations with
particular patients
that are non-
compliant directly
from the monitoring
tool.
34. PAGE 34
e-MDs DOQ-IT Initiatives: Health Maintenance Guidelines
DOQ-IT protocols
are built into our
clinical rules
engine and
present
themselves
throughout
various areas of
the application
and allow the
clinician to take
action as needed.
36. PAGE 36
e-MDs Testimonials….
“The fact that all integrated components work so well
together, the entire staff can perform multiple tasks at the
same time.
The greatest feature is the ease of use... The fact that all
four integrated components work so well together, the
entire office staff can perform multiple tasks at the same
time.
This has improved our efficiency tremendously... I have not
dictated once in over 800 patient encounters!
My overhead is much lower from not requiring charts, chart
racks or a dictation staff..."
Tim Duffin, M.D.
Urologist - TN
37. PAGE 37
e-MDs Testimonials cont…
“e-MDs is the first vendor I’ve discovered that really understands the economic
aspects of practicing medicine”
Martin Basaldua, M.D.
Houston, TX
“We just upgraded yesterday and I must tell you how happy we are. We really think
the system is great.
We now are running our office extremely efficiently. Our employee to doctor ratio is
almost 1 to 1. In our old office it was 4 to 1. You can really emphasize overhead
savings by going with e-MDs.
Please pass our appreciation on to anyone involved.
You are great!
Thanks,”
Debbie Conley & Dr. Gonzalez
Des Plaines, IL
38. PAGE 38
e-MDs Testimonials cont…
"...The user interface is intuitive and structured in the same way a
physician's work flows during patient care. Chart documentation is
enhanced and made more efficient by the flexibility of the template
design with easy click data entry. Our office staff has rapidly grown
to appreciate the powerful tools contained in e-MDs.
J. Steven Polsley, M.D.
Family Physician - OH
"My income is 25% higher today than when I worked for a large
group... and that is directly due to the practice efficiencies of
Solution Series
Michael Bogdonavich, M.D.
Family Physician - TX
39. PAGE 39
e-MDs Testimonials cont…
"...I finally found a system that ... is integrated for all aspects of a
medical practice. From scheduling, charting and billing, all of my
staff have found e-MDs to be easy to use. I've been extremely
happy with the support and responsiveness of e-MDs technical
and sales staff. My patients have been impressed with education
handouts and prescriptions..."
John E. Schloff, M.D.
Family Physician - Holland, MI
"I've looked at a lot of EMR products... rows of tiny buttons... bad
designs... E-MDs not only lived up to my expectations, but
exceeded them."
Dee McCrary, M.D.
Family Physician - Greenville, TX