Population Health Management,
Segmentation and Stratification
Deploying Information Technology to Sustain Innovation within the Rapidly Changing Care Delivery Models
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Monday, April 8
7:00 am Registration and Morning Coffee
» OPENING KEYNOTES AND PANEL
8:00 Welcome and Chairperson’s Remarks
Micah Lieberman, Executive Director, Conferences, Cambridge Healthtech Institute (CHI) and Bio-IT World Expo
8:15 Deploying Information Technology to Enable Innovation within the Future State of Care: Connecting Patients, Providers, and Payers
John Halamka, M.D., MS, CIO, Beth Israel Deaconess Medical Center
The 5 year Meaningful Use plan creates an ecosystem for innovation. The speaker will reflect on the latest Federal and State projects that bring data liquidity to payers, providers, patients and third party companies. 2013 is likely to be the tipping point in healthcare IT that ushers in a new era of modular applications and cloud hosted services leveraging the newly freed healthcare data, exchanged with patient consent.
8:40 Making Data Actionable: Driving Better Decision Making by Connecting, Collecting and Comparing Data to Create More Affordable, More Effective Health Care
Lonny Reisman, M.D., Senior Vice President, CMO, Aetna
Aetna is a technology user and systems enabler in the healthcare services space. The company is also bringing all participants into a clinical analytics environment that can connect rich, continuous clinical data to definable clinical and cost outcomes. Dr. Reisman will describe how Aetna is pushing the boundaries of technology to develop new ways to intelligently process complete clinical and cost data -- including lab, pharmacy, pathology, and outcomes information -- and turn it into usable information. Using structured information and complete analytics facilitates the identification of trends, associations, comparisons of treatments and supports clinical and financial decision making, accountability, and risk sharing. Dr. Reisman will explore how this convergence creates a safer, more effective and efficient health system.
9:05 Preparing for the Tidal Wave: Prepositioning Information Technology Needed to Support Deeper Use of Genetics in the Clinic
Sandy Aronson, Executive Director, IT, Partners HealthCare Center for Personalized Genetic Medicine
Clinical genetic tests covering large numbers of genes are becoming increasingly common and the first whole genome sequencing tests have begun to enter clinical care. These tests create new and growing challenges for clinicians who need to react to and manage these results over time. Information technology can help. This talk will describe and provide an example of an infrastructure for managing clinical genetic data. Initiatives that could be undertaken now to ensure patients derive the maximum benefit from genetic advances will also be discussed.
9:30 Keynote Panel
Major Themes
• Deploying Information Technology to Enable Innovation within the Future State of Care
• Defining, Measuring and Managing Clinical, Operational and Financial Risk
• Provider-Payer-Pharma Collaborations for Patient/Population Care Management
Topics will include
1. What does a connected health care system look like? Can you describe the elements that will need to work together?
2. What are the remaining policy and technology barriers to information sharing?
3. Will ACOs reduce political barriers to data liquidity?
4. How will integrated population health data support collaboration and new, sustainable financial relationships among all players within the health care delivery system?
5. How will patients and families be engaged in accessing, viewing, downloading, and transmitting healthcare data?
6. Is health information technology the missing link needed to make the health care system work better for providers and patients? What more needs to be done?
Panelists:
Sandy Aronson, Executive Director, IT, Partners HealthCare Center for Personalized Genetic Medicine
Mark Davies, M.D., Executive Medical Director, Health & Social Care Information Centre, National Health Service
John Halamka, M.D., MS, CIO, Beth Israel Deaconess Medical Center
Lonny Reisman, M.D., Senior Vice President, CMO, Aetna
10:00 Coffee Break in the Exhibit Hall with Poster Viewing
10:40 Chairperson’s Remarks
Dean Sittig, Ph.D., Professor, School of Biomedical Informatics, The University of Texas Health Science Center
10:50 Bridging the Divide between Medical Informatics, Medical Research and IT
Mark Jacobs, CIO, Delaware Health Information Network (DHIN)
11:15 Business Intelligence ≠ Healthcare Intelligence: Identifying and Tackling the Unique Challenges and Opportunities in Learning from Clinical Data
Leonard D’Avolio, Ph.D., Associate Center Director, Biomedical Informatics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs
Those responsible for improving healthcare rarely have access to the three most basic questions of quality improvement: what has been done, to whom was it done, and did it work? This problem is likely to get worse as U.S. healthcare shifts from pay for service to pay for performance. In response, healthcare is turning to “business intelligence” tools or BI for short. Unrecognized are the fundamental differences between the nature of business versus healthcare information. Such differences can lead to critical designs and features not currently available in BI tools. Challenges and resultant opportunities for “healthcare intelligence” are discussed.
11:40 Distinguishing Fact from Fiction in Population Health Management
Alfred (Al) Lewis, J.D., Founder and President, Disease Management Purchasing Consortium International; Author, “Why Nobody Believes the Numbers: Distinguishing Fact from Fiction in Population Health Management” (View Book Details and Reviews)
Before adopting a population health intervention on the basis of “validated outcomes” achieved elsewhere, look at the numbers harder. The preponderance of claimed favorable population health outcomes are generated by obvious mistakes that are routinely overlooked by decision-makers and policymakers. This session will show how easy it is to be fooled—and how not to be fooled—by invalidity, starting with the “official” industry measurement guidelines.
12:05 pm Increasing the Precision of Therapeutics: How the Concepts of Population Segmentation and Care Management are Incorporated into Research and Development of New Therapeutics
Marc Berger, M.D., Vice President, Real World Data & Analytics, Pfizer
With rising healthcare costs, providers and payers are looking for new therapeutic options. Where will they provide the most value? Who will benefit most? Who will benefit least? Who is more likely to experience an adverse outcome? When new therapeutic agents reach the market, the full spectrum of its potential risks and benefits are not known. While recent regulatory efforts have focused on expanded risk management and pharmacovigilance, the focus in the future will turn towards providing more information at launch that increases the predictability of individual patient response to therapy. This is leading to a re-thinking of the traditional biopharmaceutical development paradigm.
12:30 Luncheon Presentation (Sponsorship Opportunity Available) or Lunch on Your Own
1:35 Chairperson’s Remarks
Leonard D’Avolio, Ph.D., Associate Center Director, Biomedical Informatics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs
1:40 Co-Presentation: Data Exchange and Analytics: New Standards in Medical Interoperability to Advance Health Outcomes
Dean Sittig, Ph.D., Professor, School of Biomedical Informatics, The University of Texas Health Science Center
John D’Amore, MS, former Vice President, Enterprise Performance Management, Allscripts; Founder, Clinfometrics
Meaningful Use and other government health information technology-related initiatives have led to the rapid digitization of medical data, but a patient’s entire care team rarely uses a single electronic health record (EHR) technology or sees all of the patient’s data. Consequently, programs to improve care continuity and quality will need fundamental data integration based on interoperability standards for their effective operation. This will empower a new wave of clinical analytics and population health management tools to advance care effectiveness and efficiency by working across multiple EHR technologies.
2:30 Predictive Modeling Opportunities in Transition to an ACO Model of Care
Julie Meek, Ph.D., Clinical Associate Professor, School of Nursing, Indiana University
The move to the ACO model of care calls for broad-sweeping structural, operational and cultural changes in our healthcare systems. The use of predictive modeling as part of the discharge process is used as a way to highlight just one of the common processes that will need to be transformed to maximize reimbursement under the ACO model. The purpose of this session is to summarize what has been learned about predictive modeling from the population health management (PHM) industry perspective, to discuss how that knowledge might be applied to discharge planning in the ACO model of patient care and then to outline how the ACO environment presents various challenges, opportunities and implications for various roles.
2:55 Refreshment Break in the Exhibit Hall with Poster Viewing
3:35 Leveraging Health Information Exchange to Achieve Population Health Surveillance Requirements of Meaningful Use
Brian Dixon, MPA, Ph.D., FHIMSS, Assistant Professor, Health Informatics, Indiana University; Research Scientist, Regenstrief Institute; Investigator in Residence, Department of Veterans Affairs
Population health surveillance is challenging because capturing the necessary clinical data can be a burden to busy clinicians. Meaningful use of electronic health record systems provides an opportunity for implementing more efficient, automated processes. A case study demonstrates how to effectively leverage electronic health information infrastructures to improve population health surveillance while minimizing burden on clinical workflow.
4:05 Utilizing Population Analytics to Drive Organizational Planning and Strategy
Les Jebson, Director, The Diabetes Center of Excellence, University of Florida Academic Health System
The next generation of healthcare delivery and research will be driven by powerful data analytics. This business intelligence will be integrated and displayed in a dynamic fashion by and for organizational stakeholders. The analytics will serve as timely resources for driving pinpoint research, patient care and public health globally.
4:35 Detours on the Road to Personalized Medicine: Barriers to Biomarker Validation and Implementation
Louis Fiore, M.D., MPH, Executive Director, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs; Associate Professor, Boston University School of Medicine, Boston University School of Public Health
The explosion in biomarker discovery now taking place in academic and biotech communities has exposed a new obstacle on the road to personalized medicine—neither the research nor the healthcare ecosystems have evolved capabilities for high-volume validation of potentially useful biomarkers in large populations of patients. As the number of relevant findings grow, new challenges are introduced from the reuse of genomic data to biologically-informed decision support. The limitations of the existing ecosystem are described in terms of biomarker complexity, clinical research and care infrastructure, and reimbursement issues.
5:15 Medical Informatics World Welcome Reception in the Exhibit Hall with Poster Viewing
6:15 End of Day
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