Optum Labs Overview - National Academy of Medicine · 2019. 5. 21. · Optum and Mayo Clinic are...

Post on 30-Dec-2020

7 views 0 download

transcript

Optum Labs Overview Paul Wallace MD

Chief Medical Officer

Paul.Wallace@optum.com

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

Introducing Optum Labs

Health services

United Health Group (UNH)

Health benefits

Context within United Health Group

Optum Labs: Bringing together diverse perspectives of health care research and innovation

• 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

Health Care Research and

Innovationev

Health care

research

and

innovation Academic

institutions

Technology

leaders

Life sciences

companies

Commercial

payers/

Employers

Government

researchers

Health care

providers

Patient/

Consumer

organizations

Partners:

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

>100 million Administrative

Building expanding data resources

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 315 million U.S. population

>30 million

Clinical

Mayo

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

>100 million

Administrative

>30 million

Clinical

Data growth through partnership

315 million U.S. population

Mayo Health System

2

Health Plan 1

Health Plan 1

Health System

3

Consumer

Genomic

Privacy protection and linkage of data sources

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.

OPTUM LABS

Shared Salt Code

(same for all contributors)

PHI is then hashed by

contributors at their site.

Uses Optum Labs’

Confidential Salt Code

Statistically de-identified views accessed via data enclaves

Name

Address

Birthdate

SSN

Phone,

etc

Source 1 (e.g. EMR /

Clinical)

Name

Address

Birthdate

SSN

Phone,

etc , .

Source 2 (e.g. Insurer

claims)

Primary

Hash

XXXXX

Primary

Hash

XXXXX

Secondary

Hash

YYYYY

De-identification

Research process

A research approach: ‘Constellations’

“Constellations”: Broadly important, high-

impact health care problems that can attract

multiple research groups from various parts

of the health care ecosystem working on

many different aspects of the problem Example

Constellation:

Complex

comorbidity

Economic

implications

Innovative

practice

patterns

Novel

approaches to

performance

measurement

Innovative

processes

of care

Patterns of

comorbidity

Successful

existing

practice

patterns

• Technical Requirements

– Secure storage

– Speed

• Computation

• Data exploration

– 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

• Business Requirements

– Privacy protection for patients,

providers, and partners

– Governance

– Sustainability

– Research proposal review and

improvement process

– Linkage between researchers and

research users

– Partner recruitment and relationship

facilitation

Architecting a multi-partner solution…

• 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)

Challenges, Gaps, and Opportunities

Thank you

Paul Wallace MD

Chief Medical Officer

Paul.Wallace@optum.com