iHT² Health IT Atlanta Summit 2014 - Opening Keynote "The Radical Transformation and Disintermediation of Healthcare: Evolving Technologies in Care Delivery"
Kevin Fickenscher, M.D., CPE, FACPE, FAAFP
President, Healthcare Division
Chief Medical Officer
AMC Health, Inc.
Former President and CEO
American Medical Informatics Association
This document provides an overview and summary of key concepts related to applying service science principles to health systems. It begins with an introduction to service science and findings from Vargo and Lusch on service-dominant logic. It then provides overviews of the American healthcare system and literature on key concepts. The document outlines innovation processes for health systems and discusses IT enhancements like e-healthcare, big data, mobile technologies, and telemedicine. It provides examples of successful health systems like Bumrungrad Hospital and discusses the Affordable Care Act and future directions including reducing costs and improving coordination through technologies like cognitive computing.
A New Era of Personalized Medicine: The Power of Analytics and AIHealth Catalyst
Healthcare is looking towards an era of personalized medicine in which providers customize treatments for the individual patient. Realizing this tailored level of care s a new level of data volume and analytics and AI capabilities that, while novel to healthcare, other industries are thriving in. Choosing the right role models as healthcare works towards the analytics- and AI-driven territory of personalized medicine will guide informed strategies and establish best practices.
With experience and expertise in these key areas, the military, aerospace, and automotive industries can serve as healthcare’s best examples:
1. The human cognitive processes of complex decision making.
2. The digitization of their industries, with the “health” of their assets as key drivers.
3. Operating in a “big data” ecosystem.
The document discusses how an Internet of Things think tank explored how IoT solutions can improve patient outcomes. Key findings included that connected devices have the potential to benefit patients and providers through predictive analytics, personalized care, improved efficiency and speed of care, and remote patient monitoring. Participants noted big data is important but also raises security and data ownership issues. Ensuring positive outcomes requires collaboration across healthcare stakeholders, putting patients' needs and preferences first, and focusing on ongoing health rather than just care when sick.
This document discusses several topics related to changes in healthcare driven by digital technology. It notes the disruption of banking by mobile technology. It discusses patients and technology, innovation in healthcare performance and quality, and disruptive technologies. It also discusses topics like crowdsourcing research, 3D printing of medications, ubiquitous connectivity, and the paradigm shift taking healthcare transformation to new levels driven by digital forces. The overall message is that digital technology is massively changing healthcare in ways that will take years to be fully realized.
1. Training of healthcare staff is essential to reduce unnecessary costs from $700 billion wasted annually on tests and procedures. Residents need training to order fewer tests and prevent hospitalizations.
2. There is a disconnect between new health IT being introduced and proven effectiveness, as manufacturers want to bring new tech to market before efficacy is proven.
3. Enterprise-directed health IT tends to be more cost-effective than consumer-directed technologies that focus on wellness and mobile apps.
4. Lack of security for health data costs over $6 billion annually from breaches, yet many hospitals do not make data protection a top priority.
Precision medicine and AI: problems aheadNeil Raden
This document discusses the challenges of using AI and machine learning in healthcare due to issues with data silos and lack of data sharing. Healthcare data is fragmented across different organizations, making it difficult to access enough high-quality data needed to train accurate AI models. This fragmentation was caused by organizations independently developing their own IT systems, and impacts the ability to develop personalized medicine models that need access to diverse patient data sources. Overcoming these challenges will require addressing issues of data governance like ownership, responsibility and privacy.
Artificial Intelligence and Machine Learning are transforming the work of human labor. Healthcare professionals will see their work transformed and augmented with this technology, but the manner in which these changes will occur is nuanced. In this presentation, I will explore the manner in which the labor of healthcare will be transformed, review evidence to support this prediction, and remark on the changes already underway.
A look at SxSW Health 2015 through the eyes of the online health ecosystemW2O Group
Presentation shared as a part of the Mayo Clinic Social Media Health Network's monthly webinar for April, 2015. A look at the trends and topics that captured the hearts and minds of the global online health ecosystem.
This document provides an overview and summary of key concepts related to applying service science principles to health systems. It begins with an introduction to service science and findings from Vargo and Lusch on service-dominant logic. It then provides overviews of the American healthcare system and literature on key concepts. The document outlines innovation processes for health systems and discusses IT enhancements like e-healthcare, big data, mobile technologies, and telemedicine. It provides examples of successful health systems like Bumrungrad Hospital and discusses the Affordable Care Act and future directions including reducing costs and improving coordination through technologies like cognitive computing.
A New Era of Personalized Medicine: The Power of Analytics and AIHealth Catalyst
Healthcare is looking towards an era of personalized medicine in which providers customize treatments for the individual patient. Realizing this tailored level of care s a new level of data volume and analytics and AI capabilities that, while novel to healthcare, other industries are thriving in. Choosing the right role models as healthcare works towards the analytics- and AI-driven territory of personalized medicine will guide informed strategies and establish best practices.
With experience and expertise in these key areas, the military, aerospace, and automotive industries can serve as healthcare’s best examples:
1. The human cognitive processes of complex decision making.
2. The digitization of their industries, with the “health” of their assets as key drivers.
3. Operating in a “big data” ecosystem.
The document discusses how an Internet of Things think tank explored how IoT solutions can improve patient outcomes. Key findings included that connected devices have the potential to benefit patients and providers through predictive analytics, personalized care, improved efficiency and speed of care, and remote patient monitoring. Participants noted big data is important but also raises security and data ownership issues. Ensuring positive outcomes requires collaboration across healthcare stakeholders, putting patients' needs and preferences first, and focusing on ongoing health rather than just care when sick.
This document discusses several topics related to changes in healthcare driven by digital technology. It notes the disruption of banking by mobile technology. It discusses patients and technology, innovation in healthcare performance and quality, and disruptive technologies. It also discusses topics like crowdsourcing research, 3D printing of medications, ubiquitous connectivity, and the paradigm shift taking healthcare transformation to new levels driven by digital forces. The overall message is that digital technology is massively changing healthcare in ways that will take years to be fully realized.
1. Training of healthcare staff is essential to reduce unnecessary costs from $700 billion wasted annually on tests and procedures. Residents need training to order fewer tests and prevent hospitalizations.
2. There is a disconnect between new health IT being introduced and proven effectiveness, as manufacturers want to bring new tech to market before efficacy is proven.
3. Enterprise-directed health IT tends to be more cost-effective than consumer-directed technologies that focus on wellness and mobile apps.
4. Lack of security for health data costs over $6 billion annually from breaches, yet many hospitals do not make data protection a top priority.
Precision medicine and AI: problems aheadNeil Raden
This document discusses the challenges of using AI and machine learning in healthcare due to issues with data silos and lack of data sharing. Healthcare data is fragmented across different organizations, making it difficult to access enough high-quality data needed to train accurate AI models. This fragmentation was caused by organizations independently developing their own IT systems, and impacts the ability to develop personalized medicine models that need access to diverse patient data sources. Overcoming these challenges will require addressing issues of data governance like ownership, responsibility and privacy.
Artificial Intelligence and Machine Learning are transforming the work of human labor. Healthcare professionals will see their work transformed and augmented with this technology, but the manner in which these changes will occur is nuanced. In this presentation, I will explore the manner in which the labor of healthcare will be transformed, review evidence to support this prediction, and remark on the changes already underway.
A look at SxSW Health 2015 through the eyes of the online health ecosystemW2O Group
Presentation shared as a part of the Mayo Clinic Social Media Health Network's monthly webinar for April, 2015. A look at the trends and topics that captured the hearts and minds of the global online health ecosystem.
The Digitization of Healthcare: Why the Right Approach Matters and Five Steps...Health Catalyst
While many industries are leveraging digital transformation to accelerate their productivity and quality, healthcare ranks among the least digitized sectors. Healthcare data is largely incomplete when it comes to fully representing a patient’s health and doesn’t adequately support diagnoses and treatment, risk prediction, and long-term health care plans. But even with the obvious urgency for increased healthcare digitization, the industry must raise this trajectory with sensitivity to the impacts on clinicians and patients. The right digital strategy will not only aim for more comprehensive information on patient health, but also leverage data to empower and engage the people involved.
Health systems can follow five guidelines to digitize in a sustainable, impactful way:
Achieve and maintain clinician and patient engagement.
Adopt a modern commercial digital platform.
Digitize the assets (the patients) and the processes.
Understand the importance of data to drive AI insights.
Prioritize data volume.
The document discusses tools and tactics for next-generation population health engagement and management using data analytics. It outlines the need to move beyond episodic patient data to a broader understanding of individuals' social and lifestyle factors. As data volumes grow exponentially, the key is focusing on business use cases, enhancing data ecosystems, applying advanced analytics to deliver insights, redesigning processes based on insights, and managing change. The overall goal is reducing costs, improving population health and patient experience through informed healthcare decisions.
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
Survey Points to Major Burnout Concerns Among CliniciansHealth Catalyst
According to a November 2019 survey, 62 percent of clinicians and other healthcare professionals view burnout as a major problem industrywide. When asked for the best way to address clinician burnout problems, the most popular solution was less-complex workflows, which is the aim of emerging point-of-care analytics solutions.
Responses to additional questions reveal more about clinician burnout experience and views on the technology designed to help:
At your organization, how big of a problem is clinician burnout?
What is the best way to solve clinician burnout problems?
What are the biggest barriers to adopting closed-loop, point-of-care analytics capabilities at your organization
What are the biggest problems arising from a lack of adopting closed-loop, point-of-care analytics capabilities?
An industry-wide survey of the health ecosystem. By looking at leading operating models that are representative of the future health ecosystem, the viewer can get a handle on how the future will look.
But Does It Work? The Critical Role of Evaluation in Digital HealthDustin DiTommaso
KEYNOTE AT HxD 2021.
Overall Message:
A. Effectiveness is the most important differentiator between digital health offerings
B. Everyone in digital health should be evaluating their offerings
3 Key Takeaways:
1. We are rapidly moving towards effectiveness as the key differentiator in digital health
2. Apps need to be evaluated throughout the design process
3. There are things you can and should do now to make your life easier and Your apps better
Find out more inside!
Healthcare, along with many other sectors, is facing increasing uncertainty driven by technology disruption and greater individual / patient empowerment. The barrier to entry into the sector is dropping fast enabling Asia entrepreneurs to significantly improve the Asia healthcare ecosystem
The document discusses emerging home health monitoring technologies that promise to enhance care for aging patients and reduce healthcare costs through remote patient monitoring. However, reimbursement from Medicare and other payers has not kept pace, posing financial challenges for healthcare providers looking to adopt these technologies. Some states have begun reimbursing for telehealth services, but widespread reimbursement will be necessary for these technologies to truly transform home healthcare. The future of home health monitoring depends on resolving the conflict between providers wanting to invest in new technologies and payers refusing to pay until technologies are proven effective.
Health Care Panel presented to the Minnesota Ultra High-Speed Broadband Task ...Ann Treacy
This document discusses broadband technologies and their applications in healthcare, including telehealth. It provides examples of how telehealth is used in different specialties like tele-ICU, telepsychiatry, and teleradiology. It also discusses the benefits of telehealth, barriers to adoption like reimbursement and infrastructure issues, and the potential return on investment for hospitals that implement telehealth programs.
AI systems have potential benefits but also risks in clinical applications. Adversarial attacks can intentionally cause models to make mistakes, and medical data is vulnerable due to limited authentication. Bias in algorithms can negatively impact patient care. Interpretability is important for trust, diagnosis, and safety issues. Frameworks are needed for developing AI with quality, safety, and accountability.
Activity-Based Costing: Healthcare’s Secret to Doing More with LessHealth Catalyst
Delivering high-quality, cost-efficient care to specific patient populations within a service line is nearly impossible without a sophisticated costing methodology. Activity-based costing (ABC) provides a nuanced, comprehensive view of cost throughout a patient’s journey and reveals the “true cost” of care—the real cost for each product and service based on its actual consumption—which traditional costing systems don’t provide.
With the true cost of care at their fingertips, healthcare leaders can identify at-risk populations earlier—such as pregnant women diagnosed with gestational diabetes mellitus—and more quickly implement effective interventions (e.g., more scrupulous monitoring and earlier screenings). Health systems that leverage the actionable insight from ABC further benefit by implementing the same, or similar, process/clinical improvement measures across other service lines.
Accountable Care Organizations (ACOs) and clinically integrated networks (CINs) are two types of organizations working to address the problem of rising costs. As ACOs and CINs continue to evolve, organizations moving into value-based care (VBC) face an ever-changing landscape. This article looks at the evolution of the ACO and CIN models, what new tools ACOs employ today to promote success, and lessons learned from organizations that have succeeded in alternative payment models. It also explores what healthcare experts believe the future of alternative payment models will look like and competencies to develop to meet those changing demands.
This document discusses electronic health records (EHRs) and related topics. It provides background on medical records and their value. EHRs offer benefits like being digitized and accessible across networks. The US is promoting EHR adoption through initiatives like the HITECH Act which provides incentives. Physicians generally see benefits of EHRs but costs are a concern. Challenges include ensuring data reliability and developing standards. Innovation in health IT offers opportunities through technologies like cloud-based EHRs.
In this report we set out ten provocative statements predicting the world of 2020. Each prediction is articulated and brought to life through a series of portraits which imagine how patients, healthcare professionals and life sciences organizations might behave in this new world. Our predictions lean more towards an optimistic view of the future, although we organized that many in our industry are organized about the constraints and therefore pace of change. We describe the big trends rolled forward to 2020 and some of the constraints that will need to be overcome.
We also provide examples and evidence, based on the here and now, that show that the predictions are perfectly plausible, perhaps inspiring and surprising!
Our industry is changing quickly – requiring a bold response that is often difficult to implement – and yet organizations struggle to understand how to respond effectively and build a sense of urgency. We hope this report creates rich dialogue and enables a move to action.– we have had enormous fun discussing these predictions and sharing our experiences. We hope you have the same experience within your own organizations as you peruse this report and reflect on your current situation and future scenarios.
Accenture 2019 Digital Health Consumer Surveyaccenture
Millennials and Gen Z consumers are less likely to have a primary care physician than older generations and are more likely to use non-traditional care options. They are dissatisfied with many aspects of traditional in-person healthcare and expect more effective, convenient, and efficient care. Nearly half use walk-in or retail clinics for conditions like cold/virus treatment. Younger consumers also have higher demand for virtual care options and are increasingly taking control of their healthcare through digital self-service tools.
Privacy and Security: Teamwork Required to Tackle Incident ResponseID Experts
Lisa Copp and Meredith Phillips presented on privacy and security incident management. They discussed how CNO Financial Group and Henry Ford Health System manage incidents across different teams. Both organizations use a single intake system called RADAR to coordinate incident response and ensure consistent analysis, documentation, and risk assessment. The presentation emphasized the importance of cross-team collaboration and having clearly defined roles to effectively manage privacy and security incidents.
The Digitization of Healthcare: Why the Right Approach Matters and Five Steps...Health Catalyst
While many industries are leveraging digital transformation to accelerate their productivity and quality, healthcare ranks among the least digitized sectors. Healthcare data is largely incomplete when it comes to fully representing a patient’s health and doesn’t adequately support diagnoses and treatment, risk prediction, and long-term health care plans. But even with the obvious urgency for increased healthcare digitization, the industry must raise this trajectory with sensitivity to the impacts on clinicians and patients. The right digital strategy will not only aim for more comprehensive information on patient health, but also leverage data to empower and engage the people involved.
Health systems can follow five guidelines to digitize in a sustainable, impactful way:
Achieve and maintain clinician and patient engagement.
Adopt a modern commercial digital platform.
Digitize the assets (the patients) and the processes.
Understand the importance of data to drive AI insights.
Prioritize data volume.
The document discusses tools and tactics for next-generation population health engagement and management using data analytics. It outlines the need to move beyond episodic patient data to a broader understanding of individuals' social and lifestyle factors. As data volumes grow exponentially, the key is focusing on business use cases, enhancing data ecosystems, applying advanced analytics to deliver insights, redesigning processes based on insights, and managing change. The overall goal is reducing costs, improving population health and patient experience through informed healthcare decisions.
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
Survey Points to Major Burnout Concerns Among CliniciansHealth Catalyst
According to a November 2019 survey, 62 percent of clinicians and other healthcare professionals view burnout as a major problem industrywide. When asked for the best way to address clinician burnout problems, the most popular solution was less-complex workflows, which is the aim of emerging point-of-care analytics solutions.
Responses to additional questions reveal more about clinician burnout experience and views on the technology designed to help:
At your organization, how big of a problem is clinician burnout?
What is the best way to solve clinician burnout problems?
What are the biggest barriers to adopting closed-loop, point-of-care analytics capabilities at your organization
What are the biggest problems arising from a lack of adopting closed-loop, point-of-care analytics capabilities?
An industry-wide survey of the health ecosystem. By looking at leading operating models that are representative of the future health ecosystem, the viewer can get a handle on how the future will look.
But Does It Work? The Critical Role of Evaluation in Digital HealthDustin DiTommaso
KEYNOTE AT HxD 2021.
Overall Message:
A. Effectiveness is the most important differentiator between digital health offerings
B. Everyone in digital health should be evaluating their offerings
3 Key Takeaways:
1. We are rapidly moving towards effectiveness as the key differentiator in digital health
2. Apps need to be evaluated throughout the design process
3. There are things you can and should do now to make your life easier and Your apps better
Find out more inside!
Healthcare, along with many other sectors, is facing increasing uncertainty driven by technology disruption and greater individual / patient empowerment. The barrier to entry into the sector is dropping fast enabling Asia entrepreneurs to significantly improve the Asia healthcare ecosystem
The document discusses emerging home health monitoring technologies that promise to enhance care for aging patients and reduce healthcare costs through remote patient monitoring. However, reimbursement from Medicare and other payers has not kept pace, posing financial challenges for healthcare providers looking to adopt these technologies. Some states have begun reimbursing for telehealth services, but widespread reimbursement will be necessary for these technologies to truly transform home healthcare. The future of home health monitoring depends on resolving the conflict between providers wanting to invest in new technologies and payers refusing to pay until technologies are proven effective.
Health Care Panel presented to the Minnesota Ultra High-Speed Broadband Task ...Ann Treacy
This document discusses broadband technologies and their applications in healthcare, including telehealth. It provides examples of how telehealth is used in different specialties like tele-ICU, telepsychiatry, and teleradiology. It also discusses the benefits of telehealth, barriers to adoption like reimbursement and infrastructure issues, and the potential return on investment for hospitals that implement telehealth programs.
AI systems have potential benefits but also risks in clinical applications. Adversarial attacks can intentionally cause models to make mistakes, and medical data is vulnerable due to limited authentication. Bias in algorithms can negatively impact patient care. Interpretability is important for trust, diagnosis, and safety issues. Frameworks are needed for developing AI with quality, safety, and accountability.
Activity-Based Costing: Healthcare’s Secret to Doing More with LessHealth Catalyst
Delivering high-quality, cost-efficient care to specific patient populations within a service line is nearly impossible without a sophisticated costing methodology. Activity-based costing (ABC) provides a nuanced, comprehensive view of cost throughout a patient’s journey and reveals the “true cost” of care—the real cost for each product and service based on its actual consumption—which traditional costing systems don’t provide.
With the true cost of care at their fingertips, healthcare leaders can identify at-risk populations earlier—such as pregnant women diagnosed with gestational diabetes mellitus—and more quickly implement effective interventions (e.g., more scrupulous monitoring and earlier screenings). Health systems that leverage the actionable insight from ABC further benefit by implementing the same, or similar, process/clinical improvement measures across other service lines.
Accountable Care Organizations (ACOs) and clinically integrated networks (CINs) are two types of organizations working to address the problem of rising costs. As ACOs and CINs continue to evolve, organizations moving into value-based care (VBC) face an ever-changing landscape. This article looks at the evolution of the ACO and CIN models, what new tools ACOs employ today to promote success, and lessons learned from organizations that have succeeded in alternative payment models. It also explores what healthcare experts believe the future of alternative payment models will look like and competencies to develop to meet those changing demands.
This document discusses electronic health records (EHRs) and related topics. It provides background on medical records and their value. EHRs offer benefits like being digitized and accessible across networks. The US is promoting EHR adoption through initiatives like the HITECH Act which provides incentives. Physicians generally see benefits of EHRs but costs are a concern. Challenges include ensuring data reliability and developing standards. Innovation in health IT offers opportunities through technologies like cloud-based EHRs.
In this report we set out ten provocative statements predicting the world of 2020. Each prediction is articulated and brought to life through a series of portraits which imagine how patients, healthcare professionals and life sciences organizations might behave in this new world. Our predictions lean more towards an optimistic view of the future, although we organized that many in our industry are organized about the constraints and therefore pace of change. We describe the big trends rolled forward to 2020 and some of the constraints that will need to be overcome.
We also provide examples and evidence, based on the here and now, that show that the predictions are perfectly plausible, perhaps inspiring and surprising!
Our industry is changing quickly – requiring a bold response that is often difficult to implement – and yet organizations struggle to understand how to respond effectively and build a sense of urgency. We hope this report creates rich dialogue and enables a move to action.– we have had enormous fun discussing these predictions and sharing our experiences. We hope you have the same experience within your own organizations as you peruse this report and reflect on your current situation and future scenarios.
Accenture 2019 Digital Health Consumer Surveyaccenture
Millennials and Gen Z consumers are less likely to have a primary care physician than older generations and are more likely to use non-traditional care options. They are dissatisfied with many aspects of traditional in-person healthcare and expect more effective, convenient, and efficient care. Nearly half use walk-in or retail clinics for conditions like cold/virus treatment. Younger consumers also have higher demand for virtual care options and are increasingly taking control of their healthcare through digital self-service tools.
Privacy and Security: Teamwork Required to Tackle Incident ResponseID Experts
Lisa Copp and Meredith Phillips presented on privacy and security incident management. They discussed how CNO Financial Group and Henry Ford Health System manage incidents across different teams. Both organizations use a single intake system called RADAR to coordinate incident response and ensure consistent analysis, documentation, and risk assessment. The presentation emphasized the importance of cross-team collaboration and having clearly defined roles to effectively manage privacy and security incidents.
Healthcare Innovation Summit 2016: Students present their experience as part of the selected group participating in a student hotspotting experience, a collaborative effort between various universities and NEEDS Foundation to educate medicine students and attend the marginalized populations.
OCR is increasing its audits of the HIPAA compliance of health care providers. An OCR audit that finds noncompliance may lead to a significant fine or financial settlement. Adam Greene, partner at Davis Wright Tremaine and past regulator at OCR, will review the latest information about the OCR audit program, including OCR’s focus on information security risk analysis and ensuring that breach notification policies and procedures are up-to-date consistent with recent regulatory changes. Learn about recent changes to HIPAA rules, the focus of upcoming audits, the importance of a good breach response program to reduce potential liability, and how best to prepare your organization. In addition, you’ll hear how to prepare for and respond to the inevitable data breach.
To View the Webinar Recording, click here: https://www2.idexpertscorp.com/resources/single/ocr-hipaa-audits...will-you-be-prepared/r-general
Improving Quality And Reducing Cost In Healthcare The Role Of Information And...healthcareisi
The document discusses using information technology to improve healthcare quality and reduce costs. It argues that applying information and technology can reduce costs, improve access, and improve quality. It then provides examples of healthcare budget cuts in several countries due to fiscal pressures. The document also discusses using data and evidence-based practices, clinical decision support, and engaging patients to help drive cost reductions and improve outcomes.
Improving Performance with Social Business Solutions - Featuring: Premier Hea...Perficient, Inc.
Learn how to leverage IBM Social Business solutions to innovate and collaborate more productively, and how to anticipate market needs and deliver exceptional customer experiences. Hear how Premier is integrating business processes with social and analytical tools from IBM to create a competitive advantage and pioneer a better way of doing business.
HealthCare Reform - 10 Things You Should Know Glenn Roland
The document discusses key aspects of the Patient Protection and Affordable Care Act (PPACA), including what it is, some of its key provisions, challenges that have been faced in its implementation, progress that has been made, and the timeline for some of its initiatives. As an example of a new care model introduced by the legislation, it describes Accountable Care Organizations (ACOs), which are intended to drive more coordinated care through incentives provided by the Centers for Medicare and Medicaid Services.
Bundled Payments in Healthcare – The Next Generation LIVE WebcastThomas LaPointe
The document provides information about an upcoming webinar on bundled payments in healthcare hosted by Knowledge Group and Pershing Yoakley & Associates, including bios of the featured speakers from Pershing Yoakley & Associates and the Association of American Medical Colleges, and an agenda covering basics of bundled payments and examples of bundled payment programs and regulatory waivers. Key topics to be discussed include public and private bundled payment initiatives, Medicare bundled payment programs, implementation challenges, and legal and regulatory compliance issues.
The document discusses how Lean Six Sigma methods can help improve healthcare by reducing costs, medical errors, and variability through processes like identifying waste and standardizing practices. It provides examples of successful Lean Six Sigma projects in a hospital PACU that reduced "PACU full" time by over 90% and in an ophthalmology practice that cut case time by 32% and costs by 30% by standardizing physician practices. The document argues Lean Six Sigma approaches can help address issues of high costs, inconsistent quality, and access challenges facing healthcare.
This document discusses strategies for achieving the Quadruple Aim in the military health system. It outlines challenges like increasing health care demand and costs. It introduces the Quadruple Aim of readiness, population health, experience of care, and per capita cost. The document proposes reviewing each aim by discussing what it is, what can be done about it, and why it is important, then having participants discuss one aim and report back. The overall goal is to develop and manage initiatives to improve performance.
Bookends of the Patient Experience: Improvement Strategies from Admission to ...TraceByTWSG
In this webinar, Yvonne Chase of Mayo Clinic shares strategies to improve patient experience across the continuum of care - from pre-service to post-servcie activities. This presentation shares tools and processes used to streamline patient access, coordinate patient care and conduct patient follow-up post discharge - all while monitoring patient interactions to ensure clear and accurate communication from the first point of contact to the last.
The many ways in which healthcare reform affects the healthcare industry are still playing out. Undoubtedly, a question for physicians and the hospitals that employ many of them is “how will physician compensation be affected?”
PYA Principal Carol Carden recently spoke at the 2013 AICPA Healthcare Industry Conference, where she addressed this question with her presentation, “Current Reform Initiatives and Their Impact on Physician Compensation.”
The Formula for Optimizing the Value-Based Healthcare EquationHealth Catalyst
Two variables are required in the value-based healthcare equation if it is to add up to a profitable contract. One variable, optimizing the care for the patient population, is commonly included and is a focus for most healthcare systems involved in managing population health. However, a second variable, getting the right dollars in order to care for that population, is often overlooked. And yet this variable is easier to attain. It’s a matter of appropriately assessing the risk of the population by addressing inaccurate diagnoses coding. Here, we offer four methods for solving this variable: identifying high-risk gaps over time, persistent diagnosis tracking, identifying code adequacy, and identifying likely diagnoses.
Linking Clinical And Financial Data: The Key To Real Quality And Cost OutHealth Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
An introductory overview of the basic concepts of Healthcare Quality, a starter for beginners.
Prepared in 2014 for the new staff of the Quality Management Department in King Saud University Medical City in Riyadh as a part of their capacity building plan.
Acknowledgments:
*Dr. Magdy Gamal Yousef, MBBCh, MS, CPHQ - for his contribution in the scientific content
**Ms. Maram Baksh, MS, CPHQ - for the design of the full HCQ capacity building plan in KSUMC
Total quality management in healthcare organisationspoonam chaudhary
This document provides an overview of total quality management (TQM) in healthcare organizations. It discusses that TQM is a customer-centered and employee-driven approach to continuous improvement of processes to ensure high quality products and services. The document traces the history and development of quality control, quality assurance, and TQM in healthcare. It describes the key principles of TQM, including getting processes right the first time, listening to customers and employees, continuous improvement, and building teamwork. The document also outlines several tools that are commonly used for quality improvement in healthcare organizations under a TQM model such as flow charts, histograms, control charts, and cause analysis diagrams.
This document summarizes David Garvin's work on product quality. It outlines five approaches to defining quality, including transcendent, product-based, user-based, manufacturing-based, and value-based. It also details eight dimensions of quality: performance, features, reliability, conformance, durability, serviceability, aesthetics, and perceived quality. Finally, it discusses the strategic importance of quality and correlates such as the relationships between quality and price, advertising, market share, profitability, and cost.
Similar to iHT² Health IT Atlanta Summit 2014 - Opening Keynote "The Radical Transformation and Disintermediation of Healthcare: Evolving Technologies in Care Delivery"
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Rather than a sci-fi fantasty, the future of IoT healthcare is already here. While fractured, the technology exists and its capabilities are growing exponentially. The success in ensuring patient health and empowerment hinges on our ability to shift the culture of care, rethink incentives, collaborate across systems, and put the patient voice at the center of it all.
Watson Health is a population health platform that aims to address inefficiencies in healthcare systems through advanced analytics and cognitive computing. The platform utilizes clinical data, genomics data, medical literature and other sources to generate personalized insights for providers, payers, researchers, individuals and others. It delivers these insights through a HIPAA-compliant cloud that leverages IBM's ecosystem of over 250 healthcare partners. The goal is to help transform healthcare by providing more actionable knowledge at the point of care through differentiated capabilities such as advanced analytics, machine learning and cognitive computing.
Presented by Steve Mills, IBM Senior Vice President, Group Executive, Software & Systems Group
Learn more: http://www.ibm.com/software/products/en/category/health-social-programs
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This document discusses several topics related to big data in healthcare, including:
1) Using existing clinical records and health data to improve care delivery through better analysis and insights.
2) The need for healthcare to embrace digital technologies and use data more effectively, rather than just increasing spending.
3) Examples of digital health projects in Australia, including analyzing clinical notes, nursing handovers, and sports performance tracking.
Med Device Vendors Have Big Opportunities in Health IT Software, Services, an...Shahid Shah
If you’re in the medical device manufacturing or hardware sales business your revenue growth (CAGR) is under pressure like never before. You’re being asked to do more with less but you’re probably going to find that hard to accomplish because of one or more of the following challenges:
* Longer product development timelines caused by more FDA and other government regulations
* Increased demand by customers to have your devices deliver user experiences that are more like “consumer” devices such as cell phones and tablets
* Lower margins as a reaction to commodity competition (your sensor hardware business will be commoditized faster and faster over time)
* More complex and longer sales cycles because devices are now being approved for sale not by facilities and clinical executives alone but increasingly by CIOs and IT teams
* Increased cost of risk management and compliance caused by connectivity requirements
Any one of these challenges is difficult to meet but these days you’re probably being asked to meet more than one simultaneously. The solutions are not simple but the good news is that medical device manufacturers have many revenue generation opportunities today that can fund the new strategic imperatives you’ll need to put into place to meet the challenges listed above.
This briefing, presented by Netspective CEO Shahid Shah, describes some of the opportunities and how device vendors can take advantage of them.
1. The document discusses the advantages and disadvantages of implementing an electronic health record (EHR) system to replace a paper-based system.
2. A key disadvantage is the high cost of implementation, with the cost of Alberta's new clinical information system estimated at $1.6 billion over 10 years.
3. Another disadvantage is a lack of interoperability between existing EHR systems, which prevents patient information from being shared and understood across health settings.
Out of Control: The Challenge of Health Care’s New Roles, Rules, and Relation...Health Catalyst
During this webinar you’ll learn the following:
*How the spread of sophisticated clinical care information outside traditional professional channels will disrupt traditional roles of providers, payers, patients and others.
* How the new roles and interactions are evolving and the way in which new kinds of rules will govern them.
*Why analytics allowing sophisticated measurement and management will be key to surviving and prospering in an era of artificial intelligence and distributed data.
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
Consumer Health Information & Telehealth andreakyer
Week 7 presentation on Consumer Healthcare Informatics and Telehealth for INFO648 - Biomedical Informatics, iSchool Drexel University, Professor Michelle Rogers, PhD, Fall 2009
This document provides an overview of national and local health information exchange (HIE) initiatives. It begins with learning objectives about differentiating national HIE efforts, current HIE adoption levels, and drivers, challenges, and trends of HIE. The document then discusses the various "apples and oranges" of HIE collaborations, trusts, and exchanges. Facts and figures about national and Massachusetts HIE participation and use are presented. Finally, the document outlines drivers, challenges, and emerging trends of HIE and describes examples of regional HIEs in Massachusetts.
Surveys a series of ethical, economic, clinical and also safety issues relating to the application of informatics to healthcare, focusing especially on the role of informatics in the Patient Protection and Affordable Care Act. Talk presented in the University at Buffalo Clinical/Research Ethics Seminar - Ethics, Informatics and Obamacare, November 20, 2012. Slides are available here: http://ontology.buffalo.edu/13/ethics-informatics-obamacare.pptx
Health systems recognize the potential of digital health but e-health programs have had modest returns. Ambitious initiatives focus on providing clinicians information but struggle with legacy systems that impede data integration. The solution is a digital services platform that holds healthcare data and optimizes access through APIs and services for identity, access and consent management. This platform could serve as an innovation ecosystem for third-party digital health services and advanced by health systems. It could revolutionize health services and help bend the cost curve through contextualized information, ushering in an era of "Healthcare 3.0."
The document discusses 10 megatrends shaping healthcare and healthcare IT over the next 5-10 years based on a meta-analysis of several leading sources. The megatrends are organized into three groups: medicine, politics and society, and technology. Some of the key megatrends discussed include the rise of telemonitoring of patients, personalised medicine enabled by electronic health records, aging populations in western countries, increasing healthcare costs requiring value-based approaches, medical tourism and globalization, the growth of cloud computing and mobile technologies, and emerging fields like robotics and nanotechnology.
Patients are about to see a new doctor: artificial intelligence by EntefyEntefy
The health care industry has already seen advanced artificial intelligent systems make an impact in areas like medical diagnosis and patient care. But the long-term big-picture importance of AI in medicine may be something else entirely: a potential fix for the intractable problem of too few doctors and nurses worldwide. And as part of that, a solution to health care’s public enemy number one—paperwork.
Entefy curated a presentation based on our article about the impact of artificial intelligence in medical care. These slides provide a snapshot of how AI is at use in medical care today, the advances and limits of current AI systems, and AI’s potential in patient care. The presentation contains useful data and analysis for anyone interested in the intersection of AI and medical care.
For additional analysis and links to our background sources, read “Patients are about to see a new doctor: artificial intelligence" on our blog at https://blog.entefy.com/view/298/Patients-are-about-to-see-a-new-doctor-artificial-intelligence.
Similar to iHT² Health IT Atlanta Summit 2014 - Opening Keynote "The Radical Transformation and Disintermediation of Healthcare: Evolving Technologies in Care Delivery" (20)
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iHT² Health IT Atlanta Summit 2014 - Opening Keynote "The Radical Transformation and Disintermediation of Healthcare: Evolving Technologies in Care Delivery"
2. 2
An Overview of the
Forces Precipitating
Change in American
Healthcare
Technology as a
Transformational and
Disintermediating
Force
The Implications
The Session…
“You never change
things by fighting
against the existing
reality. To change
something, build a
new model that
makes the old
model obsolete.”
F. Buckminster Fuller
7. 7
“The real voyage of
discovery consists not of
finding new lands but of
seeing the territory with
new eyes.”
- Marcel Proust
8. 8
The Premise…
Society is demanding for all goods and services but –
especially for health care – that we…
- ↓ Costs
- ↑ Quality
- ↑ Service
The inherent incentives of the health care industry are
disparate, inconsistent and dysfunctional – causing
leaders significant challenges
Society is moving inextricably towards an information
democracy rather than professionally dominated
theocracy
= Focal point for health care change
= Appropriate management of information required
= Intellectual capital of medicine
= Simultaneously empowering (consumers) and disempowering
(physicians)
10. 10
Breakdown of traditional boundaries
Workforce globalization
Cross-industry convergence
Rising tide of technology
Continuous care delivery models
Shift from volume to value
Health Care Forces
“Change is
the price of
survival.”
Sir Winston Churchill
11. 11
So, What Does It All Mean?
Consolidation – of hospitals / physicians
Efficiency and Effectiveness – the new watchwords
Productivity – the essential ingredient
Accountability – the required capability
Globalization – of care delivery
Virtualization – of support and delivery
Information Exchange / Data Analytics – fostering
open data sharing, transparency and interoperability
And, The Implications?
17. 17
Value-Based
Payment Fee-for-Service Outcome Based
Incentives
Pass-A-Tube-Get-
A-Payment
Keep-Em-Healthy-
And-Make-A-Living
Focus Episodes Populations
Role of the
Provider
Interaction on
Individual Interactions
Team-Based Care
Continuum
Information Retrospective Predictive
The New World
Volume-Based
23. 23
The Inevitable Move Toward Open Source
Standards…
Metcalfe's Law predicts that the value of interoperability increases
geometrically with the number of compatible participants
Reed's Law predicts that the utility of a network (implied by
interoperable equivalence) increases exponentially due to the number of
possible subgroups that interoperability enables
CommonWell Health Alliance (the "Alliance") – HIT (vendor)
interoperability initiative includes: Allscripts, AthenaHealth, Cerner, CVS
Caremark, CPSI, Greenway, McKesson, RelayHealth and Sunquest
24. 24
H
User Security
Files
The Goal? Apps Data Integration Across
The Healthcare Ecosystem
Secure
Cloud
Hosp
P
Payer
LabSNF
Warehous
e
EMR
(Inpatient)
EMR
(Outpatient)
Claims
User Access and Device Access Manager
Content Manager and Integration Manager
Audit Logging and Reporting
Public
Content
Multiple
data
sources
PCP / Specialist
Clinicians &
Leadership
Comprehensive
Care Coordinators
(C3) or Other Clinical
Associates
Patient
25. 25
“"You can never
plan the future by
the past."
Edmund Burke
From
Virtual Monitoring
To
Virtual Care Delivery
26. 26
When is a radiologist a
radiologist?
How is a cardiologist different
than a radiologist?
How can a dermatologist
support a primary care
provider virtually?
What’s the value difference
between a nurse practitioner
and a family physician?
If 85 – 90% of pediatric care is
protocol driven, who should
provide it?
Requiring Professional Collaboration…
27. 27
Advantages of TELECARE…
27
Timely access to actionable information
for better patient care management
Knowing what is going on with a patient’s
course of care, in between visits, when he
or she cannot be physically in front of the
clinician
Detecting pre-acute conditions before the
patient clinically decompensates
Not waiting for the call from the ER before
knowing that a patient is trending in the
wrong direction
28. 28
OPPORTUNITY ANALYSIS = Super-Utilizers
Opportunity: reduce cost of top 1% by 20% or top 5% by 20%
Result: US Healthcare savings of $55B or $128B per year
29. 29
Defined by Over a Decade of Experience
MODEL FOR SUCCESS
Outcomes &
Assessment
Reporting
It’s never just
about the
technology!!
Clinical
Support/
TCM
Data
Collection
Set Up,
Installation &
Retrieval
Patient
Engagement &
Registration
Patient
Identification &
Referral
Compliance
Support
EHR
Integration
MD
Collaboration
Internal &
External
Promotion
29
HARNESSING THE POWER
OF REMOTE PATIENT MONITORING
30. 30
HOW IT WORKS
Self-reported
symptom &
behavior info via
IVR
Biometric information
via telemonitoring
devices
“Live” virtual
diagnostic assessment
via televideo/steth
Medication compliance
information via smart
dispensers
Data is collected, sorted and verified and presented as
critical, actionable information on a secure web portal
Patient’s
Physician
Care Manager
PERS Data
30
31. 31
DATA SOURCES
TECHNOLOGIES FROM DOZENS OF DIFFERENT MANUFACTURERS
31
PERS Glucometer
Adapters
Medication
Adherence
Thermometers
Pulse
Oximeters
Cellular
Modems
Multi-user Kiosk
Wireless
Scales
BP Monitors
Interactive
Voice Response
Device/Data Source
Neutral
Televideo w/steth Meaningful
and clinically
actionable
information from
the patient’s
home
32. 32
The Problem:
• @ 240,000 admissions/year
• 28% (range: 25 – 36%) of “cellulitis” admissions are
inappropriate or a misdiagnosis not requiring hospitalization
• = $83.4B/year in wasted admissions
Why?
1. Common lower limb disorders = lipodermatosclerosis,
irritant dermatitis, venous eczema, lymphedema…and,
thrombophlebitis
2. Most common dx is thrombophlebitis of the lower leg
because it is red and inflamed but it’s not; simply
inflammation of the small blood vessels
3. No clinical test can be done
4. Signs of chronic phlebitis will be present
5. The right hx is that it’s been coming and going and not
acute
And, solving the problem can be as simple as wearing
support hose, putting your feet up every day; and, losing
weight…
An Example of Making a Difference – Cellulitis…
33. 33
LOOKING FORWARD…
Bringing
the lab
home
GPS tracking and
Communications
Motion Analysis and
Action Detection
Technologies
Wearable
Sensors
Smart
Clothing
Sleep apnea
Monitoring
Point of Care
Wound
Assessment
Device
34. 34
RESULTS
SUSTAINABLE OUTCOMES ACROSS DIVERSE HEALTHCARE ENVIRONMENTS
8
HARNESSING THE POWER
OF REMOTE PATIENT MONITORING FOR
ENHANCE TELECARE
Decrease costs
>35%
ROIs exceeding
3:1
Reduce all-cause
30-day
readmissions
Enhance Care
Management
efficiencies
Improve
biometrics +
reduce risks
Reduce
hospitalizations
and ALOS
Reduce Field
Nurse Visits by
50%
Daily patient
compliance >80%
35. 35
“"You can never
plan the future by
the past."
Edmund Burke
From
Service Integration
To
Service Continuum
40. 40
Standardization
Peripheral Intelligence
CaaS
In May, 2010 Lancet
Neurology published a
study showing that the
generic drug lithium did
nothing to slow the course
of amyotrophic lateral
sclerosis (ALS
In December, 2008,
PatientsLikeMe, a for-profit
patient networking site and
data aggregator based in
Cambridge, MA, came to a
similar conclusion, more
quickly and at much less
cost.
Predictive Knowledge Management…
Using Informatics to Change Practice
41. 41
HEALTHIER
COMMUNITIES
PRACTICE
INTELLIGENCE
KNOWLEDGE
INFORMATION
DATA
An INFORMATICS SAVVY ORGANIZATION is one
that has an informatics-skilled workforce, a
disciplined approach to information system
design and use, and reliably managed IT
operation.
INFORMATICS
implies a disciplined
approach to information
systems design and use that
drives improvements in public
health practice.
PUBLIC HEALTH PRACTICE
LEVELOFVALUE
Source: Modified from work by Marty LaVenture, Bill Brand, Minnesota Department of Health. Karen Zeleznak,
Bloomington Minnesota Division of Public Health
Using Informatics to Change Practice
42. 42
Los Angeles – A Case Study in Public and Clinical Health
Can You Imagine?
46. 46
The Five Normals:
1. Normal weight
2. No smoking
3. Normal glucose / Hgb A(1)c
4. Normal cholesterol
5. Keep vaccinations up-to-date, esp. flu
How to manage:
1. Annual wellness visit.
2. Tobacco cessation.
3. Body Mass Index (BMI).
4. Diabetes screening test.
5. Cardiovascular disease screening.
6. Cholesterol level screening.
7. Screening tests
Focusing on the SIMPLICITY…
The Five Normals
47. 47
“"You can never
plan the future by
the past."
Edmund Burke
From
Social Media
To
Social Activation
48. 48
Use of Health Apps in Care Management…
Patient Engagement = enhanced electronic collaboration between
patients/members with healthcare organization(s), all major mobile
devices and Web
Administrative / Employee = Reuse existing security and data to
improve operations, ex; scheduling, forms, management reporting, bed
management, workforce, etc.
Partner & Vendor / Third Party delivery / ACO = Apps integrate with
external databases/systems to provide new function and access, such
as; ACO Provider and Payer integrated info, billing, etc.
Health Delivery = New simplified and targeted access to complex
content (e.g., genetics lab)
Health Education = Integrated content management and secure social
networking allows for new collaboration, and tracking (e.g, my healthy
world)
48
49. 49
Example: Social Activation & Engagement…
Retrofit (www.retrofitme.com) – data-driven weight loss program
focused on professionals using wireless monitoring of weight,
activity and sleep
Results:
- 90% lose weight w/ average retention = 12 months (longest in industry / industry
average = 6 – 12 weeks)
- Men = 50% of customers
- Average customer loses 9% of weight @ 20# + 90% keep weight after one year
Target busy professionals; upper income (avg = $80K/year)
Why are the results better at Retrofit that WeightWatchers with 80% vs
30% 12 month retention + 12 month weight loss: 20# vs 14# ???
Reason = Social Engagement
4
50. 50
From Deployment of Standards To
Ubiquitous Interoperability
From Service Integration To Service
Continuum
From Virtual Monitoring To Virtual
Care Delivery
From Data Mining To Peripheral
Intelligence
From Quality as Outcome To Quality
as Requirement
From Social Media To Social
Activation
S
U
M
M
A
R
Y
53. 53
The tools are
available…but, the
transformation of
healthcare is missing the
essential requirement of
all change initiatives…
So, What Does It All Mean?
Are you ready to participate?