Optum Labs Overview. Paul Wallace MD Chief Medical Officer

Transcription

1 Optum Labs Overview Paul Wallace MD Chief Medical Officer

2 Introducing Optum Labs Optum and Mayo Clinic are partnering to launch Optum Labs, a collaborative research and development center for the health care industry with a singular goal: improving patient care. Key means to that goal: Collaboration Research Innovation Context within United Health Group United Health Group (UNH) Health benefits Health services

3 Optum Labs: Bringing together diverse perspectives of health care research and innovation Partners: Contribute to the discussion and the direction of research at Optum Labs Build collaborative relationships with other key stakeholders Participate in high-visibility research designed to improve patient care Patient/ Consumer organizations Academic institutions Health care providers Health care research and innovation Health Care Research and Innovationev Life sciences companies Commercial payers/ Employers Government researchers Technology leaders

4 Partnership Building Blocks Research Participation Individual Research Collaborative Projects Research Funding Data Contribution No Data Proprietary Data in Sandbox Contribute Data Access to Data Project Based Bring your own Technology and Data Exploratory Access External Visibility Partnership Announcement Ongoing joint PR Ongoing Branding Opportunities Research Impact Journal publication Participate in Translation Drive Translation Event Participation Invited to relevant Symposia and Events Leadership in Symposia and Events Sponsorship / Branded Symposia and Events Increasing Partnership Intensity

5 Building expanding data resources 315 million U.S. population Mayo >100 million Administrative 2,000+ data fields: Medical claims Pharmacy claims Lab claims and results Health risk assessments Standardized costs of care Race Income Education level Language preference Household Geography Mortality Tests, Treatments >30 million Clinical Expanded insights with deeper clinical context 500+ additional data fields: Encounters Vitals Labs Medication orders Procedures Admissions, discharges and transfers Patient appointments PHQ-9 Patient-provided information

6 Data growth through partnership 315 million U.S. population Health Plan 1 Health Plan 1 Mayo Health System 3 Health System 2 Genomic >100 million Administrative Consumer >30 million Clinical

7 Privacy protection and linkage of data sources Source 1 (e.g. EMR / Clinical) Name Address Birthdate SSN Phone, etc Uses Optum Labs Confidential Salt Code Primary Hash XXXXX Shared Salt Code (same for all contributors) PHI is then hashed by contributors at their site. OPTUM LABS Secondary Hash YYYYY De-identification Primary Hash XXXXX Name Address Birthdate SSN Phone, etc,. Statistically de-identified views accessed via data enclaves Source 2 (e.g. Insurer claims) Optum Labs employs certified de-identified data sets, together with a hashing methodology to enable matching individuals from multiple sources, yet preserving statistical de-identification and confidentiality.

8 Research process

9 A research approach: Constellations Constellations : Broadly important, highimpact health care problems that can attract multiple research groups from various parts of the health care ecosystem working on Example many different aspects of the problem Constellation: Complex comorbidity Successful existing practice patterns Novel approaches to performance measurement Innovative processes of care Innovative practice patterns Economic implications Patterns of comorbidity

10 Architecting a multi-partner solution Technical Requirements Secure storage Speed Computation Data exploration Business Requirements Privacy protection for patients, providers, and partners Governance Sustainability Linkage methodology Multiple de-identified versions of the database Facilitated but controlled access to the appropriate de-identified database version (Data enclaves/ sandboxes ) Analytic tools Outputs Research proposal review and improvement process Linkage between researchers and research users Partner recruitment and relationship facilitation

11 Challenges, Gaps, and Opportunities Emerging, but incomplete: Governance models Sustainability models Key issues that may be framed as competitive and/or complementary: Personalization and privacy Public and commercial Distributed and federated data models Experimental and observational methods Involvement of IRBs Research and translation (Research and quality improvement)

12 Thank you Paul Wallace MD Chief Medical Officer