Open Forum Discussion Opportunities and Challenges in Data

Open Forum Discussion: Opportunities and Challenges in Data Sharing for Population Based Payment Models Listening Session June 20, 2016 2: 00 pm – 3: 00 pm Open Forum Discussion: Opportunities and Challenges in Data Sharing for Population Based Payment Models

WELCOME 2 Sarah Callahan Population-Based Payment Work Group Lead CMS Alliance to Modernize Healthcare (CAMH)

SESSION OBJECTIVES Learn about the work of the PBP Work Group and its principles and recommendations for Data Sharing. Provide an open forum for audience questions on Work Group principles and recommendations. Discussion with Population Based Payment Work Group members. 3

SPEAKERS Glenn Steele, MD, Ph. D Work Group co-chair PBP Work Group Chairman, x. G Health Solutions, Inc. Immediate past President and CEO, Geisinger Health System 4 David Muhlestein, Ph. D, JD Member PBP Work Group Senior Director of Research and Development Leavitt Partners, LLC

DATA SHARING 5 For Population-Based Payment Models The PBP Work Group’s draft White Paper, Accelerating and Aligning Population-Based Payment Models: Data Sharing outlines a vision for data sharing in PBP models. Sharing data is critical to supporting clinicians and health care stakeholder groups in providing care, responding effectively to patient needs, and enabling the transition to alternative payment models (APMs). The paper offers several guiding principles, recommendations, and outlines use cases for data sharing. The goal is to create an environment where data follows the patient and is available to stakeholders (patients, providers, purchasers, and payers) in a timely manner. Development April – June 2016 Draft Release June 10, 2016 Public Comment June 10 – July 1, 2016 Revise July – August 2016 Final Release August 8, 2016

DATA SHARING 6 Principles • Data sharing is foundational for the successful operation of PBP models and makes it possible for each stakeholder to carry out their individual role. • Data sharing in PBP models will need to be fundamentally different from data sharing in traditional FFS models. • Data sharing for PBP requires multi-stakeholder relationships built on trust, cooperation, and transparency. • Identifiable, patient-level data should follow the patient. • De-identified, population-level data should be treated as a public good. • Providers who undertake PBP models with multiple payers will need to receive, use and share data with each of them, giving rise to a complexity that may benefit from collaboration with third-party intermediaries. Data Sharing & Performance Measurement

DATA SHARING 7 RECOMMENDATIONS Recommendations • Payers and providers should identify in advance aligned approaches and polices for data sharing to support PBP models. • In order for data to follow the patient, payers should collaborate on approaches to patient identifiers that enable mapping across systems. This effort should be scalable. • Payers, providers, purchasers, and patients should convene a multi-stakeholder group to recommend solutions that ensure patients that their personal data are used appropriately. Data Sharing & Performance Measurement

DATA SHARING CONTINUED 8 Recommendations • Requirements for data sharing should be made explicit in agreements between purchasers and payers that participate in PBP models. • Payers should give patients and purchasers easy access to information on what it costs to see different providers for the same, common procedure, alongside relevant quality indicators. • Payers, providers, and purchasers should actively participate in pilot programs to evaluate approaches to the sharing of data across multiple payers and providers. Data Sharing & Performance Measurement

DISCUSSION

Access the Data Sharing Draft Paper: http: //hcp-lan. org/workproducts/ds-whitepaper-draft. pdf 10

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