HAS 19 Keynotes & Breakout Sessions

Keynote


2 – Is There an Avatar in the House? Changing the DNA of Health Care in the Age of AI

Stephen K. Klasko, MD, MBA - President, Thomas Jefferson University; CEO, Jefferson Health

One of the most influential health care leaders of today will help synthesize what we’ve learned and provide his vision of the future. Dr. Klasko will suggest sensible and apolitical solutions for reshaping the industry and share practical tips on how we can all be part of this transformational journey.

3 – Criminal Justice Analytics

Anne Milgram, JD - Former New Jersey Attorney General, Senior Fellow at NYU School of Law

There are remarkable parallels as well as integrative digital synergies between our healthcare and criminal justice systems. Every year we invite an outside speaker to share lessons learned from other industries in their journey to digital transformation. Anne Milgram is one of our most popular speakers ever and so we’ve invited her back to share progress in many of the new data-driven projects she is involved in with communities across the country, and why there are many untapped opportunities for collaboration.

4 – Leadership and the New Principles of Influence

Daniel H. Pink - Renowned Leadership and Change Management Expert; Best-selling Author

Leaders at every level today confront two stark realities. First, in these fiercely competitive and endlessly turbulent times, they must do more with less. Second, the old-school management techniques we’ve long relied on to produce results frequently fail. Enter Daniel Pink, best-selling author of Drive and To Sell Is Human, with a fresh approach.

Drawing on a rich trove of social science and cutting-edge practices from organizations around the world, Pink will demonstrate the new ways leaders are persuading, influencing, and motivating others. He will show the power of underused techniques such as perspective-taking, problem-finding, and using purpose as a motivator – and offer concrete steps to put these ideas into action.

In this entertaining and provocative presentation, you will learn:

  • Why changing people’s minds often matters less than giving them an “off-ramp” to act;
  • Why the most persuasive leaders aren’t introverts or extraverts, but “ambiverts”;
  • 3 rules for taking the perspective of those you lead;
  • How the principles of improvisational theater can help you overcome resistance;
  • 5 ways to frame your message for maximum influence.

17 – Netflixing Primary Care

Lyle Berkowitz, MD, FACP, FHIMSS - Chief Medical Officer and EVP of Product, MDLIVE, President, MDLIVE Medical Group

When was the last time you went to a bookstore, the library, a travel agency, your bank, or a Blockbuster? When was the last time you used Amazon, Google, Orbitz, your banking app or Netflix? Do you really think healthcare is immune? It is inevitable that the online revolution will catch up in medicine, and Primary Care is ripe for the picking – it is inefficient, expensive and has major supply/demand mismatches. So what will this world of “Virtual Primary Care” look like, where going online is first, and the wait for your doctor is under 10 minutes on your phone! Hear from a doctor who ran IT and Innovation for the largest primary care group in Chicago, who has co-founded multiple healthcare startups as well as one of the nation’s first healthcare innovation programs, and is now the President of one of the largest online medical groups in the nation. Cause he’s ready to talk…

18 – Understanding “Thinking Biases” to Improve Decisions (Yours & Others’)

Tali Sharot, PhD - Author, Professor, Neuroscientist and Authority on Human Behavior

Part of our daily job as humans is to affect others; we advise our clients, guide our patients, teach our children and inform our online followers. Yet, science shows we systematically fall on to suboptimal habits when trying to change others’ beliefs – from insisting the other is wrong to exerting control. Based on her award-winning book, The Influential Mind, internationally acclaimed behavioral neuroscientist, Tali Sharot, explains how an attempt to alter beliefs will be successful only if it is well-matched with the core elements that govern how we think and feel. By understanding the minds and brains of those around us, we become better at advising and communicating information.

20 – Healthcare AI: Are we there yet?

Marianne Slight - Healthcare Analytics and Machine Learning - Product Management Executive, Google

Discover how Google is applying its analytic and AI technologies to healthcare, the challenges it sees in going from algorithm and model to effecting change in workflow and outcomes, and some early successes.

21 – Virtual Reality: Enabling a Pain Free Reality, without Opioids

Anita Pramoda - Co-Founder and CEO, Owned Outcomes, Inc.

Harvard Medtech is an innovative Digital Health company that is pioneering new approaches to chronic pain management, in lieu of using opioids. The company has put together a comprehensive Bio-Psycho-Social program, anchored by utilizing Virtual Reality for its analgesic properties, that is a healthier, more holistic approach than using addictive pharmaceuticals. The company’s program is successfully helping newly injured patients avoid or minimize the need for addictive opioids. For patients already opioid dependent, it can successfully help motivated patients wean off of opioids altogether, or at least reduce their usage to clinically manageable levels.

21 – A New Era of Pharma Collaboration: Pharma’s Evolution from Products to Outcomes

Jessica Federer - Former CDO, Bayer

The digital transformation of pharma is accelerating a change in business models, shifting the focus from products to outcomes. This value-based approach to medicine means radical changes for the centuries old industry as it adapts to changing regulations, payment structures and data access. This session with one of the first Chief Digital Officers in the pharmaceutical industry will explain the changes in the industry, and the promise it holds for improving both research, patient care, and deeper collaboration with providers and payers.

21 – Machine Learning, Data Democratization and My Generation’s Future

Justin Aronson - Junior in High School and Founder of variantexplorer.org

Machine learning, for good or ill, has the potential to fundamentally alter nearly every aspect of my generation’s lives as we move forward. The question is, what can be done to influence the way machine learning enters our lives to make sure the effects are as positive as possible? For my generation, getting access to the resources necessary to experiment with machine learning is a challenging task. Much of the world’s data is locked up in data silos that only large organizations can use. However, when data is made available, new possibilities emerge.

I will discuss how NIH’s ClinVar repository has paved the way for Variantexplorer.org. While paying only hosting fees (and having a great deal of support and advice from many generous people), I was able to construct a site that summaries cross laboratory genetic variant classification conflicts. In addition to describing how the site works, I will share the challenges I faced constructing it and share my views on steps that can be taken to enhance the usability of data that has already been published. In particular, I will provide an update on my progress in repurposing the ClinVar data file in a manner intended to facilitate machine learning. I greatly appreciate this opportunity to address the HAS19 audience and share my views on how this audience could fundamentally empower my generation, as we come of age, to profoundly improve healthcare for all.

40 – The Future of Digital Health

John D. Halamka, MD - Chief Information Officer, Beth Israel Deaconess System; International Healthcare Innovation Professor, Harvard Medical School

John will review his experiences in emerging digital health trends throughout the world based on 400,000 miles of travel this year.

Breakout Sessions


5 – Getting to Data-Driven Population Health Management: Four Innovative Outliers (Panel) (Population Health; Course Level-Advanced)

Amy Flaster, MD, MBA - Senior Vice President, Population Health Management, Health Catalyst
Azalea Kim, MD, MBA, MPA - Former Medical Director, Applied Health Science and Strategy, Duke Health; Strategic Advisor, Blue Cross Blue Shield of North Carolina
Lissy Hu, MD, MBA - Chief Executive Officer and Founder, CarePort Health

Few organizations are actively using analytics for population health management (PHM). In this panel, we’ll speak with PHM thought leaders from the “innovative outliers”—health systems, payer groups, and other organizations that are leveraging data and analytics in diverse ways to support transformational improvement in care and costs. Discussion may touch on questions such as:

  • What is your approach to using data and analytics to stratify the right patients for the right interventions?
  • What innovation have you done in the end-of-life care space?
  • How is Medicare different? How do you adjust your interventions for this population?
  • How do you think about payer-provider partnerships? How about provider-industry partnerships? Where have you seen these work well in the PHM space?
  • How have your organizations tackled social determinants of health (SDoH)?
  • Have you used machine learning, or seen creative applications of machine learning, in the PHM space?

6 – Designing Effective Clinical Measurement: Recognizing and Correcting Common Problems (Clinical, Analyst; Course Level-Intermediate)

Brent James, MD, MStat - Clinical Professor, Department of Medicine, Stanford University School of Medicine; Senior Advisor, Health Catalyst

Dr. W. Edwards Deming, the father of quality improvement theory, famously (and routinely) noted that “aim defines the system.” That is especially true for clinical measurement. This session will examine a series of principles that underlie effective clinical measurement. It will start with the idea of “transparency” as defined by the Institute of Medicine, and discuss how different functional levels within which transparency plays a critical role for healthcare delivery organizations. The presentation will address proven methods to select appropriate subsets of measures, among a functional infinity of possible metrics.

Dr. Brent James will also discuss how the idea of signal versus noise levels in clinical measurement, including methods to assess and mitigate noise (technically, “gauge theory” and Measurement System Evaluation). These concepts will be brought together in the form of nested measurement systems, where data is captured in real-time at the front line then “rolls up” through an organization (nested dashboards). This, in turn, will support “drill down” activities that can track findings in higher order reports back down to actual work execution. The course is intended for people who already have highly developed measurement and analysis skills and experience.

8 – Meaningful Measures: Prioritizing Patients Over Paperwork (Clinical, Financial; Course Level-Beginning)

Kimberly Rawlings, MPP - Measures Management System Lead, CMS

With multiple measures from disparate sources and the administrative burden of reporting on the rise, clinicians have competing demands for their time that take them away from their patients. In order to improve clinicians’ prioritization of patients over paperwork, CMS created a Meaningful Measures framework in 2017 with the goal to remove obstacles so that clinicians can spend more time with their patients.

Attend this breakout session to learn about this new approach to patient-centered outcomes, how CMS reduced the data reporting burden and costs on clinicians and other health care providers, and their focus on quality measurement and improvement efforts to better align with what is most meaningful to patients.

Join Kimberly Rawlings, Measures Management System Lead at CMS, as she discusses CMS’s Meaningful Measures framework in depth, including tactics that led to the elimination of duplicate reporting measures and identifying measures that matter.

9 – Serving the Traditionally Underserved with Population Health Improvements (Clinical, Financial, Analyst; Course Level-Beginning)

Susan Seidensticker, BSIE, MSHAI, CPHQ, CSSBB, PMP - Director, Waiver Quality Operations, The University of Texas Medical Branch
Andrew T. Herndon, MHA - Senior Business Manager, Office of the President, The University of Texas Medical Branch

Data-driven decision-making is crucial for healthcare organizations looking to constantly improve care in a value-based market. Discover how this organization used real-time, actionable data and analytics to measure the effectiveness of its population health improvements. Using analytics, they engaged providers to support breaking down silos, prioritized interventions, and resources, ensured standard work was occurring across multiple clinic locations, and increased pay for performance dollars while improving patient outcomes.

10 – Expediting Mergers & Acquisitions: The Role of Data and Clinical Evidence (Strategy, Financial; Course Level-Intermediate)

Hani Elias, JD, MPH - Chief Executive Officer, Lumere
Amy Whitaker, RN - Vice President, Supply Chain Clinical Integration Accountability, Bon Secours Mercy Health

The healthcare industry has experienced a frenzy of merger and acquisition (M&A) activity in recent years which continues to remain steady. While mergers come with the promise of eliminating inefficiencies and benefiting from scale, the path is often complex. In fact, research has shown that hospitals often fail to realize cost synergies. Bon Secours and Mercy Health were committed to producing a different result.

Attend this session to learn how these organizations jointly leveraged clinical evidence and analytics to accelerate the benefits of their merger. To do so, they built an organizational framework to quickly scale and align their value analysis and vendor management capabilities. The result has been astounding, identifying savings of more than $48.9M in supply-related costs and achieving standardization in several clinical practices in less than two years.

Learn from these two presenters with a diverse range of clinical and operational experience. Amy Whitaker, RN, is the Vice President of Supply Chain Clinical Integration Accountability for all clinical integration activities within the organization while Hani Elias, JD, MPH, CEO of Lumere, provides strategic vision and advises health system executives on how to achieve the best clinical outcomes at an optimal cost.

11 – New Ways to Improve Hospital Flow with Predictive Analytics (AI, Operations, Analyst; Course Level-Advanced)

Michael Thompson, MS Predictive Analytics - Executive Director, Enterprise Data Intelligence, Cedars-Sinai Medical Center

Improving hospital-wide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Learn how supervised machine learning was used to create predictive models for length of stay, emergency department (ED) arrival, ED admissions, aggregate discharges, and total bed census to reduce patient wait times, reduce staff overtime, improve patient outcomes, and improve patient and clinician satisfaction.

12 – Be a Change Agent for the Next Healthcare Revolution: Payment Model Re-Design (Strategy, Clinical, Financial; Course Level-Intermediate)

Will Caldwell, MD, MBA - Senior Vice President, Physician Market Development, Health Catalyst

The U.S. healthcare system didn’t develop overnight; it’s the culmination of a series of revolutions. The current revolution centers on payment model re-design, with success fueled by the wise use of data. Systems that harness data analytics to solve problems will succeed, while others may disappear.

Though the U.S. provides the best episodic healthcare in the world, our cost of care continues to rise at an unsustainable rate. Something must change. Recent changes to the MSSP are a step in the right direction, but wise use of data is critical for success.

This session will examine why data matters, ways to maximize its power, and our individual roles as change agents.

13 – The Case for Advanced Activity-Based Costing: How Cost Accounting Technology Must Evolve to Meet the Future of Value-Based Care (Panel) (Innovation, Financial; Course Level-Advanced)

Robert A. DeMichiei - Executive Vice President and Chief Financial Officer, UPMC
Bob Alexander - Sr. Director, Financial Implementation Services, Health Catalyst
Migdalia Musler, MHSA - Chief Operating Officer, University of Michigan Medical Group
Dan Unger, MBA - Senior Vice President and General Manager, Financial Transformation Business, Health Catalyst

As organizations adapt to the new reimbursement landscape, there is one area that is alarmingly overlooked — the measurement of health system costs.  The foundation of most health system costing is based on an outdated methodology that relies on inaccurate charge-master-assigned values.  Long-accepted in the fee-for-service reimbursement world, this approach exposes you to massive insolvency risk. In the value-based reimbursement world, health systems must know their true costs to succeed.

Enter the new activity-based costing: a breakthrough methodology that allows health systems to accurately measure and assess their true costs.  Supported by advanced extrapolation technologies, this methodology can place you far ahead of competitors in the value-based care market. But be careful! Not all activity-based costing is created equal (despite marketing claims to the contrary). Come learn from our panel of speakers from forward-thinking organizations that have already started to implement the new activity-based costing. Discussions may touch on questions such as:

  • How are you preparing for value-based care and capitated payment models?
  • Why should advanced costing improvements be a significant component of that preparation?
  • What are the current costing tools on the market, and why do they potentially lead to bad decision making? Why are these tools not up to par?
  • While many are claiming activity-based costing, what approach is really necessary to achieve the reality of activity-based costing?
  • How does a more advanced costing system change your ability to make decisions?  What are some specific examples of ways your decision making improved since you implemented advanced costing?
  • What benefits do you envision in the future as a result of switching to activity-based costing?  What competitive advantages do you see as a result?

14 – Unlocking More Than $15 Million in Improvements Across an Integrated Delivery Network (Strategy, Clinical, Financial; Course Level-Beginning)

Patrick McGill, MD, FAAFP - Executive Vice President, Chief Analytics Officer, Community Health Network
Travis Lozier, MBA, PMP, ASQ - Vice President, Performance Excellence, Community Health Network

By integrating data from multiple source systems and developing a new strategy focused on uniform adoption, education, and ongoing oversight this health system changed the way it approached its systemwide improvement efforts. Explore with the chief analytics officer, and vice president of performance excellence, the impressive early adoption of its systematic improvement approach and how they have been able to achieve tens of millions in savings.

15 – How Real-World Data Can Rescue Clinical Trials and Save Lives (Panel) (Clinical, Life Sciences; Course Level-Beginning)

David Putrino, PT, PhD - Director, Abilities Research Center; Assistant Professor, Rehabilitation and Human Performance, Icahn School of Medicine, Mount Sinai
Sadiqa Mahmood, DDS, MPH - Senior Vice President of Medical Affairs, Health Catalyst
Wasim Malik, PhD - Managing Partner, Iaso Ventures; Director, Massachusetts General Hospital, Harvard Medical School
Elia Stupka, PhD - Senior Vice President and General Manager, Life Sciences, Health Catalyst

Every year clinical trials of vital therapies are canceled, not because the therapy isn’t promising but because of issues with trial feasibility or cost. This hurts all stakeholders: patients, healthcare providers, and pharmaceutical companies. Making trials more cost-effective and feasible means improving the way participants are identified and enrolled while also cutting the time and labor of collecting data. Many researchers say real-world evidence in the form of multiple-source enterprise data warehouse (EDW) data is the answer, but this requires bridging some gaps in interoperability and security. Learn from panel experts who work in all facets of clinical trials in this discussion about the promises and challenges of integrating EDW data into clinical trials.

16 – Using Net Promotor Score Patient Loyalty Tracking to Improve Health Outcomes and Revenue (Clinical, Financial, Operations; Course Level-Beginning)

Michelle Babcock, PT, MSPT - Chief Experience Officer, Spooner Physical Therapy
Russell Olsen - Vice President, Innovation and Product Management, WebPT

A patient’s attitude towards, and relationship with, his or her provider can be a key driver in a positive treatment outcome. But to effectively leverage patient experience, providers must understand patient attitudes and perspectives—a challenging, broad area to measure. As a solution, a multi-clinic physical therapy practice tracked patient loyalty using a net promoter score (NPS). In just one year, NPS insights helped the organization better gauge its patients’ experience; the practice leveraged these insights to inform initiatives that drove an increase in the number of visits per new patient and boosted their initial evaluation conversion rate.

Michelle Babcock, PT, MSPT, a physical therapist and Chief Experience Officer at Spooner Physical Therapy, and Russell Olsen, VP of Innovation and Product Management at WebPT, will describe how they implemented NPS to identify unhappy patients early and work with them directly to improve their experience. NPS also enabled two key goals: keeping patients engaged in their care and understanding and leveraging the data to improve revenue by generating referrals and promoting additional services.

22 – AI for Healthcare Leaders: The New AI Frontier for Improved Leadership Decision Making (Strategy, AI, Analyst; Course Level-Beginning)

Jason Jones, PhD - Chief Data Scientist, Health Catalyst

A new frontier is expanding AI from artificial intelligence to augmented intelligence. Traditional AI has focus on improving analytics efficiency and effectiveness. Augmented Intelligence is about improving the decision-making ability of healthcare leaders. Our goal is to support leaders in driving systemwide outcomes improvement—do we have more opportunity in readmission or depression, how should we staff the ED on weekends, how long does a nurse manager need to improve safety culture, and so on. There is an opportunity to include AI to assist decision making in new and innovative ways. In this session, you will see specific frameworks and tools to use AI to close the information gap for leaders to drive outcomes improvement. 

23 – The Super-Powered Medical Group: How Data Powers the Connected System of Health (Innovation, Clinical, Financial; Course Level-Intermediate)

Scott Shreeve, MD - Chief Executive Officer, Crossover Health

Crossover Health is leveraging multiple diverse data streams to create a large data lake that powers next-generation primary care. Moving from a reactive, visit-based, sick care model to a proactive and predictive care model built for the digital health era, Crossover Health partners with activist employers to produce industry-leading ROI, clinical outcomes, and a truly differentiated member experience.

Today, nearly a quarter of a million people are experiencing Crossover’s immersive care model with no barriers. The organization’s transformative tech-enabled care platform promises to continue to grow that number.

Dr. Scott Shreeve will draw on his experience working with the nation’s largest and most progressive health activist employers, who use Crossover Health’s data-enabled approach to drive clinical and cost outcomes. Prior to founding Crossover Health, Dr. Shreeve co-founded Medsphere, the first open source electronic health record for the health enterprise.

24 – More Impact, Less Burden: How Partners HealthCare is Advancing PCMH Through Next-Generation Analytics (Innovation, Population Health; Course Level-Intermediate)

Salina Bakshi, MD - Fellow, Center for Population Health, Partners HealthCare
Colleen Blanchette - Director, Partners Population Health, Partners HealthCare

In 2018, Partners HealthCare completed the transition of its network of primary care practices to the patient-centered medical home (PCMH) model of care, now considered the gold standard primary care delivery model. While the Joint Commission (TJC) and the National Committee for Quality Assurance (NCQA) have provided standards for PCMH accreditation and measurement, the standards have become burdensome for primary care practice frontline leadership. Discover how Partners is leveraging data and analytics to design a new measurement model focused on the measures that matter most.

25 – Improvement Science and Analytics: Keys to Improving Population Health (Clinical, Analyst; Course Level-Beginning)

Heather Schoonover, MN, ARNP-CNS, PHCNS-BC, FCNS - Vice President, Customer Success, Health Catalyst

U.S. healthcare generates a massive amount of data. How do we effectively use all this data to improve outcomes and decrease costs? Identifying opportunities, implementing interventions, and accurately measuring and sustaining improvements is a daunting challenge. Explore, through the use of cases across a multitude of healthcare organizations, how the science of improvement and analytics can be used to tackle complex problems, saving millions of dollars and improving population health.

26 – How IT Can Leverage Consumer Trends to Get Health Systems on the Modern Digital Playing Field (Strategy, Innovation; Course Level-Intermediate)

Ryan Smith - Senior Vice President and Executive Advisor, Health Catalyst

Consumers make increasingly more transactions digitally (from planning travel to purchasing groceries), yet healthcare organizations’ digital capabilities lag behind most other consumer-oriented industries. To digitize, providers and the right vendor partners must fully integrate data, technology, and reimagined workflows. Healthcare must address optimal user experience while providing virtual access to all relevant information in an interactive, self-service environment that’s always available, from any device. 

Ryan Smith will share his first-hand experience with the gap between growing digitization in the consumer market and healthcare’s lagging adoption. He’ll offer an analytics adoption strategy to get health systems on the modern digital playing field, with a particular focus on engaging CIOs in digital transformation.

27 – Panel: The Digitized Patient Experience: How Novel Digital Therapeutics (DTx) Data Will Reshape Your Analytics and Remote Patient Care Programs (Innovation, Life Sciences; Course Level-Intermediate)

Chris Hogg, MBA - Chief Commercial Officer, Propeller Health
Carlos Rodarte - Life Sciences Strategy Business Development, Health Catalyst
Eddie Martucci, PhD - Chief Executive Officer, Akili
Mette Dyhrberg - CEO, Mymee Inc.
Owen McCarthy, MBA - Co-founder and President, MedRhythmns, Inc.

Digital Therapeutics (DTx), defined as software-driven evidence-based therapeutic medical interventions, are used increasingly for conditions not well-addressed by mainstream medicine. These therapies collect information on a new frontier: a patient’s moment-by-moment physiological processes, emotions, behaviors, and environment. How should these highly personalized tools be implemented? How should this flood of data be governed and analyzed? How will the increased information affect the provider’s role? A panel of DTx developers will address these questions and more.

28 – The Application of Clinical and Cultural Data: Delivering Safe, Optimal Care (Clinical; Course Level-Beginning)

Allan Frankel, MD - Managing Partner, Safe and Reliable Healthcare
Michael Leonard, MD - Managing Partner, Safe and Reliable Healthcare

Healthcare organizations are increasingly focused on the delivery of high-quality healthcare in service of sustainable clinical value, while also reducing avoidable patient harm. To be successful in this endeavor, organizations need an effective framework and valid cultural tools to provide insights, drive visible and measurable change, and create sustainable value. In this session, practical tools and insights will be provided that can be effectively applied within any healthcare organization.

29 – Wasted: What’s Holding Healthcare Back—and How You Can Move Ahead to Transformational Improvement (Interactive Experience) (Clinical, Financial, Operations, Fun; Course Level-Beginning)

Thomas D. Burton, MBA - Co-founder and President, Professional Services, Health Catalyst

Healthcare is bogged down with inefficiency, unwarranted variation, and overutilization—waste. In this session, Tom Burton, the master of innovative HAS games, will again lead a new, collaborative game illustrating the challenges that typically hold an organization back and why analytics alone won’t overcome them. Working with other participants, you’ll learn principles to accelerate your organization’s journey up the analytics adoption model, supporting massive clinical, financial, and operational improvement in your system and beyond.

30 – Rock Your Analytics World (Literally) (Analyst, Technical, Fun; Course Level-Beginning)

John Wadsworth, MS - Senior Vice President, Health Catalyst

Music is a powerful medium. The right blend of lyrical sound can motivate and transform us. But the wrong blend is just noise.

Analytics is much the same. The key instruments of healthcare analytics—data systems, analytics tools, and analytics team members— must be carefully orchestrated to transform an overwhelming data cacophony into a sustained symphony of insight and outcomes improvement.

In this fun session, John draws parallels from the music recording industry in ways that will literally rock your world. The session will resonate with both analysts and executives looking for best practices to move their teams beyond one-hit wonders to consistent top-of-the-chart performers.

31 – Physician Alignment and Data-Informed Decisions Increase Contribution Margins and Market Share (Clinical, Financial; Course Level-Intermediate)

Holly Burke - Executive Director, Clinical Innovation and Quality, Pulse Heart Institute, MultiCare Health System
Needham Ward, MD - Chief Medical Officer, Pulse Heart Institute, MultiCare Health System

Organizations must address patient access, physician recruitment and productivity, and quality outcomes, while also building a cohesive network of services to win the market share battle.  Getting reliable data and analytics that can be used to drive improvements in market share remains a challenge for most organizations. Learn how this heart and vascular institute addressed these issues and increased its contribution margin by 38 percent and grew its market share by five percentage points.

32A – Machine Learning Marketplace: 11 Featured Stations (AI, Innovation, Course Level: Intermediate)

Eleven stations with representatives from health systems including: Acuitas Health, ARUP Laboratories, Humana, Intermountain Healthcare, Massachusetts General Hospital/Partners HealthCare, Mission Health, UNC Health Care, UnityPoint Health, UPMC, UPMC Enterprises.

Healthcare is buzzing with stories about the benefits of leveraging data science to improve patient care and the overall patient experience. Organizations have questions about how to get started, where the greatest opportunities lie, and how to apply machine learning (ML) and artificial intelligence (AI).

This unique session provides attendees with access to 11 presenters in a walkabout format where participants can visit the stations they’re interested in for more in-depth information, including results and key lessons learned. Abstracts of each presenter’s work will be shared before the event, allowing participants to choose the topics and opportunities that are most meaningful to them.

The ML Marketplace session is one hour long. Attendees can choose to attend the ML Marketplace during either Wave 4 or Wave 5, allowing more attendees to select this session as one of their afternoon options.

32B – Machine Learning Marketplace: 11 Featured Stations (AI, Innovation, Course Level: Intermediate)

Eleven stations with representatives from health systems including: Acuitas Health, ARUP Laboratories, Humana, Intermountain Healthcare, Massachusetts General Hospital/Partners HealthCare, Mission Health, UNC Health Care, UnityPoint Health, UPMC, UPMC Enterprises

Healthcare is buzzing with stories about the benefits of leveraging data science to improve patient care and the overall patient experience. Organizations have questions about how to get started, where the greatest opportunities lie, and how to apply machine learning (ML) and artificial intelligence (AI).

This unique session provides attendees with access to 11 presenters in a walkabout format where participants can visit the stations they’re interested in for more in-depth information, including results and key lessons learned. Abstracts of each presenter’s work will be shared before the event, allowing participants to choose the topics and opportunities that are most meaningful to them.

The ML Marketplace session is one hour long. Attendees can choose to attend the ML Marketplace during either Wave 4 or Wave 5, allowing more attendees to select this session as one of their afternoon options.

33 – The Doctor’s Orders for Engaging Physicians to Drive Improvements (Clinical, Financial; Course Level-Beginning)

Jack Beal, JD - Vice President, Performance Improvement and Deputy General Counsel, The University of Kansas Health System
David Wild, MD, MBA - Vice President, Performance Improvement
, Assistant Professor, Department of Anesthesiology, The University of Kansas Hospital

Physicians drive 75 to 85 percent of all quality and cost decisions, yet reimbursement pressures, competing time pressures, misaligned incentives, and a lack of credible data often make engaging clinicians in improvement work one of the biggest challenges in healthcare.  Explore how to spread data to the edges of the organization and engage physicians in leading a continuum of improvement across an entire organization.    

34 – Using a Data-Led Action Framework to Combat Healthcare Burnout: Lessons from Minnesota’s Statewide Model (Strategy, Clinical; Course Level-Beginning)

Rahul Koranne, MD, MBA, FACP - Chief Medical Officer, Minnesota Hospital Association
Tim Sielaff, MD, PhD - Chief Medical Officer, Allina Health; Senior Vice President, Allina Health Group

Healthcare systems across Minnesota wanted to transition from measuring the prevalence of burnout to actively decreasing the phenomenon. In 2016, the first collaborative statewide data-led action framework was launched to combat this issue. Review the data on drivers and outcomes from a 2018 survey of more than 22K clinicians, employed and independent, across 94 hospitals. Discover how analytics are being used to develop strategies and drive actions to bend the burnout curve.

35 – Get Fit, Get Well: Medically Integrating Wellness Creates a Healthier Community (Innovation, Population Health; Course Level-Beginning)

Greg Stock, MHA - Chief Executive Officer, Thibodaux Regional Medical Center
Katie Richard, MA, BSN, RN - Education & Training Coordinator, Thibodaux Regional Medical Center

The first of its kind in the state of Louisiana, this medically-directed wellness center is addressing the health and wellness needs of its community using improvement tools, analytics, and stakeholder engagement.  See how it created a center with physician-guided patient-centered clinical pathways and multidisciplinary teams focused on proper nutrition, appropriate exercise, and minimization of risks, quickly impacting the health of its community.

36 – Getting Patient Outcomes Predictions Right: Using Behavioral and Social Data (Innovation, AI, Population Health; Course Level-Advanced)

Imran Qureshi - Chief Data Science Officer, Clarify Health

According to the Kaiser Family Foundation, behavioral factors have a 40 percent impact on outcomes like premature death, genetics 30 percent, social and environmental factors 20 percent, and finally healthcare 10 percent. As a healthcare industry we are finally coming to terms with the role that behavioral factors play in health. However, it is not clear how to effectively use that data to improve care and predict patient outcomes.

In this session, Imran Qureshi, Chief Data Science Officer at Clarify Health, will discuss the experience in combining clinical, behavioral, social, and economic data for millions of patients to more accurately predict patient outcomes and identify the right care by the right provider.

Imran will also discuss the step-by-step process to combine clinical data with behavioral, social, and economic data, how to identify important features in that data, and the unique challenges in creating models based on this data to predict outcomes.

37 – Getting to the Wrong Answer Faster: Shifting to a Better Use of AI in Healthcare (AI, Innovation; Course Level-Intermediate)

Jason Jones, PhD - Chief Data Scientist, Health Catalyst

Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes. It can take months or even years to recover. In this interactive session, you’ll walk through scenarios that illustrate how commonly used analytic methods can often lead analysts and leaders to unknowingly draw the wrong conclusions. You’ll be introduced to important strategies and tools to get you back on track. In health and healthcare, change depends on leaders understanding and supporting better approaches.

38 – Diversity + Data for Improved Care (Panel) (Strategy; Course Level-Beginning)

Trudy Sullivan, MBA - Chief Communications Officer and Chief Diversity & Inclusion Officer, Health Catalyst
Steven Brown, MS - Global Inclusion & Diversity Leader, Sr. HR Business Partner, GE Healthcare
Maryellen Gleason, MBA - President & CEO, Solve ME/CFS Initiative
Andres Gonzalez - Vice President, Chief Diversity Officer, Froedtert & Medical College of Wisconsin
Eloiza Domingo-Snyder, PhD - Executive Director and Head of Diversity and Inclusion, Astellas Pharmaceuticals
Noel Tenoso, DPT - Founder & CEO, Advance Sports & Spine Therapy; Partner, Solveglobal
Christine Neuhoff, JD, MBA - Vice President and Chief Legal Officer, St. Luke’s Health System

“We allow ignorance to prevail upon us and make us think we can survive alone, alone in patches, alone in groups, alone in races, even alone in genders.” ~ Maya Angelou

When people are at their most vulnerable and seeking solutions, support, and healing from our healthcare system, can the limitations of bias negatively affect their experiences and outcomes? Learn from our panel of diverse speakers who are taking a proactive role in combining diversity with data to improve health care outcomes for all.

The panelists will discuss the following topics:

  • How bias unfavorably affects disease manifestation, diagnosis, prognosis, and healthcare outcomes.
  • Strategies for data plus diversity of thought to reduce disparities.
  • How eliminating bias improves access and outcomes.
  • Keys for improvement—understanding the data, sharing best practices, and change management.

39 – How Real-World Data Paves the Way for Personalized Healthcare (Innovation, Life Sciences; Course Level-Advanced)

Okan Ekinci, MD, MBA - Chief Medical Officer, Diagnostics Information Solutions (DIS), F. Hoffmann La-Roche Ltd

Knowledge in healthcare is rising at unprecedented speed, soon by a factor of two. Better understanding of disease evolution, new diagnostic tools such as molecular testing, and advances in treatment options have shown that this continuous growth of knowledge is the foundation for personalized healthcare.

On the other hand, this growth of knowledge also creates complexity at such a level that its use for decision making–in both research and clinical care–increasingly requires the use of digital tools. Additionally, vast amounts of clinical trial and real-world data is being generated across institutions and geographies that could provide appropriate scale in order to gain actionable insights for decision support tools.

Prof. Okan Ekinci will provide insights on how life science is evolving to address personalized healthcare, using examples from Roche. He will discuss how data-driven Clinical Decision Support Solutions evolve and help healthcare institutions in their digitization effort to ultimately improve patient outcomes as well as clinician satisfaction at an increased level of efficiency and quality.


What Past Attendees Have to Say

This is the best conference I’ve ever been to in all my years in healthcare…and that’s over 20 years

I can’t imagine a better summit. My brain is buzzing with all these new tools, resources, case studies, and innovative ideas and software. I’ll be back next year, and if next year is as good as this year, you’ll definitely have made a follower for life out of me.

This is by far the best conference I have attended. It was well planned and coordinated. Great job to the team for putting this amazing event together.

Same place, same time next year!! The best conference I’ve attended, fabulous job!

It definitely exceeded my expectations. A lot of conferences I go to, you take a lot information but it doesn’t have a practical application. This is completely different because I feel like I have a lot of information I’m excited about and can apply to my situation.

We talk about value-based care…this is a value-based conference. Considering what other conferences costs, the value I get out of this is tremendous.