CONFERENCE TRACK #1: MAY 14-15, 2018

Integrating Your Predictive Models into Your Clinical Workflow banner

Final Agenda

Monday, May 14

Keynote Session:
Current State of Pop Health: Perspectives from a Payer, Administrator, and Provider Medicine

7:00 am Registration & Morning Coffee

8:00 Organizer’s Welcome and Chairperson’s Welcoming Remarks

Micah_LiebermanMicah Lieberman, Executive Director, Conferences, Cambridge Healthtech Institute (CHI)


8:05 Chairperson’s Remarks

Harry SaagHarry Saag, MD, Medical Director, Network Integration, NYU Langone Health


8:10 Using Analytics to Predict Outcomes, Target High-Risk Populations and Improve Quality

Gowtham RaoGowtham Rao, MD, PhD, Chief Medical Informatics Officer, BlueCross BlueShield of South Carolina


8:40 Considering Care Delivery Transformation and Strategy Within an ACO

Scott BerkowitzScott Berkowitz, MD, MBA, Senior Medical Director, Accountable Care, Office of Johns Hopkins Physicians


9:10 Breakthroughs with Neural Networks and AI: Predictive Modeling Comes Alive

Randall MooreFatima Paruk, MD, CMO, Analytics, Allscripts


9:40 INTERACTIVE PANEL: Integrating Data and Predictive Analytics into Pop Health to Enable Value-Based Care

Moderator:

Joe KimuraJoe Kimura, MD, MPH, CMO, Atrius Health


Gowtham RaoGowtham Rao, MD, PhD, Chief Medical Informatics Officer, BlueCross BlueShield of South Carolina


Randall MooreFatima Paruk, MD, CMO, Analytics, Allscripts


Scott BerkowitzScott Berkowitz, MD, MBA, Senior Medical Director, Accountable Care, Office of Johns Hopkins Physicians


Mahek_ShahMahek Shah, MD, Senior Project Leader and Senior Researcher, Value Measurement For Healthcare Delivery, Harvard Business School


View Full Plenary Keynote Session Details

Developing Models for High-Risk Patient Identification and Planning Care Management Integration

10:55 Chairperson’s Remarks

Craig MonsenCraig Monsen, MD, Medical Director, Analytics and Reporting, Atrius Health


11:00 CO-PRESENTATION: Care Management Integration of High-Risk Patients

Jerry-SobierajJerry Sobieraj, MD, Senior Data Scientist, Information Technology, Boston Medical Center


Roshan HussainRoshan Hussain, MBA, Senior Director, Analytics & Public Reporting, Boston Medical Center


Discussion of ways to develop a model for high risk patient identification. Once patients are identified, how does one integrate them into a care management program? Consider how an organization integrates information about specific risks (e.g. readmission) into Care Management Process. This presentation will help attendees understand trade-offs on model development, as well as issues related to integration into a care management tool.

11:30 CO-PRESENTATION: Measuring the Impact of Care Coordination on High-Risk Patients

Harry SaagHarry Saag, MD, Medical Director, Network Integration, NYU Langone Health


Simon JonesSimon Jones, PhD, Professor, Population Health, Healthcare Delivery Science, NYU Langone Health


Care coordination is a fundamental aspect to managing high-risk, high-need patients in value-based contracts. However, few models exist that measure the financial impact of this intervention. NYU Langone Health has developed a methodology to estimate the impact of care coordination which can be used to estimate the potential return on investment of care coordination services. In this presentation, we will review the methodology as well as discuss NYU Langone’s analysis of its care coordination program by comparing the outcomes of patients who received care coordination versus patients who declined this intervention.

12:00 pm Sponsored Presentation (Opportunity Available)

12:15 Turning Predictions into Results: Case Studies from Successful Integrations

Leonard D'AvolioLeonard D'Avolio, PhD, Assistant Professor, Harvard Medical School, CEO, Cyft

Predicting members' health and ability to engage with care management interventions is fundamental to utilizing care management resources effectively. However, these predictions are useless until they are supported by the organization and integrated with existing processes. To see how to succeed against these challenges, this presentation will share how organizations implement predictive models to improve care, how to conduct organizational assessments, align priorities, and ensure that the organization is ready to take action on predictive modeling results.

12:45 Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own

1:30 Session Break

Merging Analytics with Clinical Delivery to Achieve Pop Health and Precision Medicine

2:05 Chairperson’s Remarks

Matthew BurtonMatthew Burton, MD, Assistant Professor, Biomedical Informatics, Mayo Clinic; Vice President, Clinical Informatics, Apervita, Inc.


2:10 Leveraging Predictive Analytics to Inform Care Planning and Coordination across the Healthcare System

Haley BoltonHaley Bolton, Senior Manager, Regulatory Strategy and Value Management, Emory Healthcare

Harnessed sophisticated analytics to predict patients’ likelihood to no-show for clinical appointments, to detect patients’ risk for readmission, and to estimate patients’ medical complexity. Overcame operational and cultural barriers to implement dashboards and change the care planning process. Improved the clinic’s no-show rate and improved patient outcomes. With the evolving nature of the healthcare landscape, it is critical that healthcare organizations position themselves to leverage data to gain insight to patient health status and to better plan for patient care. Our talk will provide the audience with key takeaways and recommendations to interpret patient information, organize data, and implement predictive models within their organization.

2:40 CO-PRESENTATION: Capturing Digital Biomarkers to Drive Predictive Models

Adam PowellAdam Powell, PhD, Lecturer, Health Informatics, Northeastern University


Jorge RodriguezJorge Rodriguez, MD, Clinical Informatics Fellow and Hospitalist, Beth Israel Deaconess Medical Center


Traditionally, predictive models have been built around biomarkers from claims data, medical charts, lab results, and genetic testing. As smartphones become ever-present in our lives, there is increasingly the opportunity to incorporate digital biomarkers into predictive models. Digital biomarkers, such as data on physical activity, social activity, and even voice inflection, have the potential to provide an additional layer of insights to predictive models. This session will introduce the concept of digital biomarkers and will highlight the research that exists to support their use in predictive models.

Medial Early Sign3:10 Fusing AI Across the Clinical Path: Real-World Examples from Clinical Practice

Ran_GoshenRan Goshen, MD, PhD, CMO, Medial EarlySign

The industry is well aware of the potential impact of AI on healthcare systems and on patients’ lives. However, the gap between AI-based insight and real-life impact on medicine and outcomes remains wide. Citing examples from two-year AI implementations in clinical practice, Dr. Goshen will illustrate how to successfully implement AI-based clinical insights in order to provide maximum benefit for all stakeholders along the clinical path, from the patient, to the physician and care manager.

3:40 Refreshment Break with Exhibit Viewing

Interactive Breakout Discussion Groups

4:10 Find Your Table and Meet Your Moderator

4:15 Interactive Breakout Discussion Groups

Concurrent breakout discussion groups are interactive, guided discussions hosted by a facilitator or set of co-facilitators to discuss some of the key issues presented earlier in the day’s sessions. Delegates will join a table of interest and become an active part of the discussion at hand. To get the most out of this interactive session and format, please come prepared to share examples from your work, vet some ideas with your peers, be a part of group interrogation and problem solving, and, most importantly, participate in active idea-sharing.

TABLE 1: Utilizing Predictive Analytics, Risk Scores and Predictive Models: What Tools and Models Are Working?

Moderators:

Haley BoltonHaley Bolton, Senior Manager, Regulatory Strategy and Value Management, Emory Healthcare


Gowtham RaoGowtham Rao, MD, PhD, Chief Medical Informatics Officer, BlueCross BlueShield of South Carolina


Michael LiebmanMichael Liebman, PhD, Managing Director, IPQ Analytics


Michael LeeMichael Lee, MD, MBA, Medical Director, Children’s Hospital Integrated Care Organization, Boston Children’s Hospital


Leonard D'AvolioLeonard D'Avolio, PhD, Assistant Professor, Harvard Medical School; CEO, Cyft


Uli_ChettipallyUli Chettipally, MD, CTO, CREST Network, Kaiser Permanente


TABLE 2: Care Coordination and Leveraging Social Determinants of Health (SDOH): How Are Organizations Deploying Care Management Resources?

Moderators:

Scott_TornekScott Tornek, MBA, Chief Strategy Officer, Penn Center for Community Health Workers


Harry SaagHarry Saag, MD, Medical Director, Network Integration, NYU Langone Health


Simon JonesSimon Jones, PhD, Professor, Population Health, Healthcare Delivery Science, NYU Langone Health


Michael RiesMichael Ries, MD, MBA, Medical Director, Critical Care and eICU, Advocate Health Care


Jacob KaganJacob Kagan, MD, Chair, Behavioral Health Department, Harvard Vanguard Medical Associates, Atrius Health


Mahek_ShahMahek Shah, MD, Senior Researcher and Senior Project Leader, Value Measurement For Healthcare Delivery, Harvard Business School


TABLE 3: Physician Engagement and Dashboards to Promote Pop Health Accountability

Moderators:

Katie SendzeKatie Sendze, MBA, Director, Client Services, HealthInfoNet


Dervilla McCannDervilla McCann, MD, Chief of Population Health, ACO Medical Director, Central Maine Health Care


Michael ParisMichael Parris, Vice President, Data Integration and Analysis, Texas Health Resources


Nick van TerheydenNick van Terheyden, MD, CMO, BaseHealth


Matthew BurtonMatthew Burton, MD, Assistant Professor, Biomedical Informatics, Mayo Clinic; Vice President, Clinical Informatics, Apervita, Inc.


TABLE 4: Using Laboratory Data to Foster Clinical Decision Support and Care Coordination

Moderators:

Tarush KothariTarush Kothari, MD, Physician Informaticist, Assistant Professor of Pathology and Laboratory Medicine, Northwell Health


Gaurav SharmaGaurav Sharma, MD, Senior Staff Pathologist; Director, Regional Laboratory and POC Testing, Henry Ford Health System


Adam PowellAdam Powell, PhD, Lecturer, Health Informatics, Northeastern University


Jorge RodriguezJorge Rodriguez, MD, Clinical Informatics Fellow and Hospitalist, Beth Israel Deaconess Medical Center






Scott Sarran


Scott Sarran, MD, former CMO, Government Programs, Clinical Strategy, Health Care Service Corp


Adam Ashton KinionAdam Ashton Kinion, Research Assistant, Health and Public Administration, Franklin University


TABLE 5: Utilizing Telehealth & Virtual Health to Improve Patient Engagement, Care Coordination and Clinical Outcomes

Moderators:

Brian EastwoodBrian Eastwood, Analyst, Chilmark Research


Kate KlefstadKate Klefstad, Digital Health Service Line Manager, The Signal Center for Health Innovation, University of Iowa Health Ventures


Todd SmithTodd Smith, MD, Executive Medical Director and CMIO, East Region, Fairview Health Services/HealthEast


Jason PhibbsJason Phibbs, CPXP, Director, Patient Experience, TriHealth


TABLE 6: Applying Behavioral Economics to Expand Patient and Provider Engagement

Moderators:

John MinichielloJohn Minichiello, MBA, Executive Director, Integra Community Care Network ACO


Edgar RossEdgar Ross, MD, Senior Clinician, Anesthesia, Perioperative and Pain Medicine, Brigham and Women's Hospital and Harvard Medical School


Samuel NordbergSamuel Nordberg, PhD, Medical Director, Behavioral Health Informatics and Innovation, Atrius Health


Georgia_BuckGeorgia Buck, Vice President, VAL Health


View Full Breakout Discussion Details

5:00 Welcome Reception in the Exhibit Hall with Exhibit Viewing

6:00 End of Day One

Tuesday, May 15

Keynote Session:
The Future of Pop Health and Care Delivery in a Value-Based World

7:00 am Registration & Morning Coffee

8:00 Organizer’s Welcome and Chairperson’s Welcoming Remarks

Micah_LiebermanMicah Lieberman, Executive Director, Conferences, Cambridge Healthtech Institute (CHI)


8:05 Chairperson’s Remarks

Uli_ChettipallyUli Chettipally, MD, CTO, CREST Network, Kaiser Permanente


8:10 Back to the Future: Changing Care Delivery through New Models of Care Delivery

Paul_DiCapuaPaul Di Capua, MD, MBA, Regional Medical Officer, CareMore Health System/Anthem


8:40 Population Health Management in the Primary Care Setting: Integrating IT Solutions to Address Patient Needs and Provider Workflow

Steven AtlasSteven Atlas, MD, MPH, Associate Professor, Medicine, Harvard Medical School, Director, Practice-Based Research & Quality Improvement, Massachusetts General Hospital


9:10 Initiatives in Women's Health Innovation: Reduce Readmissions and Avoidable ED/OR Utilization, Improve Continuity and Access

Katy MahrajKaty Mahraj, Director of Innovation, Women's Health, Center for Health Care Innovation & Department of Obstetrics and Gynecology, Penn Medicine


9:40 INTERACTIVE PANEL: Integrating Data and Predictive Analytics into Pop Health to Enable Value-Based Care

Dominique Morgan-SolomonDominique Morgan-Solomon, President, Morgan-Solomon Consulting, Population Health Subject Matter Expert, Merck


Alan JonesAlan Jones, Strategy & Network Development Director, Sutter Health


Steven AtlasSteven Atlas, MD, MPH, Associate Professor, Medicine, Harvard Medical School, Director, Practice-Based Research & Quality Improvement, Massachusetts General Hospital


Paul_DiCapuaPaul Di Capua, MD, MBA, Regional Medical Officer, CareMore Health System/Anthem


Scott SarranScott Sarran, MD, former CMO, Government Programs, Clinical Strategy, Health Care Service Corp.


View Full Plenary Keynote Session Details

10:10 Coffee Break with Exhibit Viewing

Integrating Behavioral Health and Social Determinants into Pop Health Management

10:55 Chairperson’s Remarks

Jorge RodriguezJorge Rodriguez, MD, Clinical Informatics Fellow and Hospitalist, Beth Israel Deaconess Medical Center


11:00 Pioneering Health Communities in Population Health: Incorporating Health, Behavioral Health, and Social Determinants into the ACO Model

John MinichielloJohn Minichiello, MBA, Executive Director, Integra Community Care Network ACO

Improving the health outcomes and care efficiency of vulnerable populations will necessitate incorporating health, behavioral health, and social services into the ACO model. As a participant in Rhode Island’s Medicaid Accountable Entity Program and CMMI’s Accountable Health Communities Model, Integra Community Care Network ACO is catalyzing ACO performance improvement by pioneering efforts in social determinants of health management and in the creation of behavioral health medical homes.

11:30 CASE STUDY: Novel Approach to Opioid Risk Management

Edgar RossEdgar Ross, MD, Senior Clinician, Anesthesia, Perioperative and Pain Medicine, Brigham and Women's Hospital and Harvard Medical School

A patient with chronic pain expects to be treated at the first visit. In traditional healthcare approaches, decisions about chronic pain cannot be made at the first visit because of the lack of data assessing risk of continuing with opioid therapy. Next steps could include referral to detox center, opioid rotations or alternative care. With the use of survey tools and decision support, treatment for a patient’s pain can be started at the first visit.

12:00 pm CO-PRESENTATION: Integrating Behavioral Health Data to Improve Clinical and Financial Outcomes

Samuel NordbergSamuel Nordberg, PhD, Medical Director, Behavioral Health Informatics and Innovation, Atrius Health


Jacob KaganJacob Kagan, MD, Chair, Behavioral Health Department, Harvard Vanguard Medical Associates, Atrius Health


Research indicates that co-occurring behavioral health problems can increase total medical expenses for patients by 200% - 700%. Providers can benefit from systems designed to identify patients with underlying behavioral health problems, and to stratify those patients by risk and treatment needs. We will describe an initiative at Atrius Health to integrate data collection and risk stratification into the clinical routine. We will discuss the importance of multidimensional measurement that can capture patient complexity, and review the barriers and facilitators to implementing data collection in routine settings, based on experience rolling out a standardized system to 15 sites, serving over 30,000 patients.

12:30 Sponsored Presentation (Opportunity Available)

12:45 Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own

1:30 Coffee and Dessert Break with Exhibit Viewing

Applying Risk-Stratification into Clinical Models to Improve Outcomes

2:00 Chairperson’s Remarks

Samuel NordbergSamuel Nordberg, PhD, Medical Director, Behavioral Health Informatics and Innovation, Atrius Health


2:05 CO-PRESENTATION: Maine ACO Uses HealthInfoNet’s Predictive Analytics to Target High-Risk Populations: Reduce Readmissions

Katie SendzeKatie Sendze, MBA, Director, Client Services, HealthInfoNet


Dervilla McCannDervilla McCann, MD, Chief of Population Health, ACO Medical Director, Central Maine Health Care


This case study profiles an ACO who has recently implemented HealthInfoNet's risk-stratifying predictive analytics tool for population health management. This unique ACO represents Care Management staff from a large urban medical center, a rural Federally Qualified Health Center, and a post-acute care agency and illustrates how teams implemented a predictive analytics tool complete with its challenges and successes. This presentation will address real-world examples of clinical process changes, patient interventions and outcomes.

2:35 Risk Stratification at the Point of Care: A Learning Health System Approach

Uli_ChettipallyUli Chettipally, MD, CTO, CREST Network, Kaiser Permanente

Knowledge translation and risk stratification can be great tools for providers and the enterprise to improve quality, efficiency, and cost. This talk will primarily focus on understanding the complexities of how to pick a problem, how to build a solution, getting stakeholders' buy-in, physician engagement and refining the solution. A description of a successful clinical project that has gone through the full cycle: bedside application of knowledge, real-time collection of data and implementing new findings back into practice. Various aspects of selecting a problem, building a platform, implementing the solution and refining the solution will be discussed.

3:05 CO-PRESENTATION: Banner Health: One Health System’s Success Leveraging Data to Improve Outcomes and Reduce Costs in a Value-Based World

Michael ParisMichael Parris, Vice President, Data Integration and Analysis, Texas Health Resources


Dan_HoemkeDaniel Hoemke, Chief Business Officer, BaseHealth


Like many health systems, Banner Health needed a better way to predict who within its insurance population are in danger of becoming acutely ill in the coming year – one that does not involve traditional industry assumptions that the same 5% of the population who generated the most utilization and cost one year will be the same 5% in the following year. These are the patients who do not have long, complicated claims histories and look healthy in claims data, but are actually at risk for a major health issue. As health systems have limited intervention resources and budget available, the approach allowed Banner to develop a method for identifying the best use of each available healthcare dollar, targeting the addressable risk factors in specific patients that will benefit most from clinical and programmatic interventions and represent the biggest opportunity to bend the cost curve.

3:35 The Happy Path to Clinical Pathways: Informatics Best Practices for Integrating Clinical Best Practices into Optimal Workflows

Matthew BurtonMatthew Burton, MD, Assistant Professor, Biomedical Informatics, Mayo Clinic; Vice President, Clinical Informatics, Apervita, Inc.

This presentation will share best practice approaches for integrating evidence-based clinical best practices into clinical workflows while further satisfying practice management, performance-based reimbursement, and analytics requirements. With emphasis placed on enabling effective and efficient health care delivery through workflow interventions supporting established clinical guidelines, the essential information needed for performance measurement, optimization, and reporting as well as data enrichment, submission, and analysis are a mere by-product of adherence to established informatics best practices.

4:05 Closing Remarks

4:10 Close of Bridge to Pop Health EAST

Join Bio-IT World Grand Opening Reception in the Exhibit Hall at 5:00 PM


Underwrite Bridge to Pop Health to Showcase
Your Investment to Value-Based Care!

We are currently seeking program underwriters and partners! Health and hospital system service providers, technology and population health platform developers, and analytics vendors are encouraged to apply.

Please contact Patty Rose at (+1) 781.972.1349 or prose@healthtech.com