1. Analysis of Existing Data to Promote Continuous Learning and Improvement
May 22nd, 2019

2. OptumLabs
Founded as a partnership between Optum and Mayo Clinic in January 2013
OptumLabs  Data platform
Clinical, academic, and policy partners provide scientific and medical knowledge, and enable translation to improve patient care

3. OptumLabs Data Warehouse (OLDW)
Commercial claims
136M
Electronic medical records
74M
New in 2018:
7 years of Medicare FFS claims
Medicare FFS claims
71M
Consumer
50M
Numbers as of June 30, 2018
Slide owner: John Brillante
More than 250 million de-identified lives
Combining Medicare FFS data with the OLDW data further diversifies our linked data asset

4. OptumLabs Data Warehouse
High-level data schema: Linked, de-identified data
Health Plan-Affiliated Data
Administrative Claims Asset
Lab test results
Health risk assessment
Socioeconomic status
Enrollment
Pharmacy claims
Supplemental oncology data
SSA death master file
Insurance benefits design and CDHPs
Physician claims
Facility claims
OPTUMLABS DATA WAREHOUSE
Brief overview of assets in OptumLabs, but that is not the purpose of this talk
Example of the type of data that data owners have
All data is linked and then de-identified PRIOR to research
We can’t make every data element available in a giant data lake — the data are available in certified, de-identified research views
Note that asset is always being enhanced
Mention that while OptumLabs cannot, other parts of Optum can re-identify in order to build registries, conduct patient/physician surveys, conduct chart review, etc.
We follow same path that Brande mentions (Brande Yeast, Eli Lilly, speaking before me). We try to answer the question with existing assets for all of the reasons Brande mentioned (speed, costs, generalizability), but if we have to build on to the existing asset, we do.
Encounters
Signs, disease and symptoms
Consumer data
Non-affiliated claims (not linkable)
American Hospital Association
Observations and clinical findings
Medication orders and administrations
Area health
resource file
Future addition to warehouse
Future addition to warehouse
PanTher asset (EHR-derived)

5. >140 publications

6. High Value Healthcare Collaborative (HVHC) Mission
A provider learning network committed to improving healthcare value through data and collaboration.
To accomplish this, we:
Measure, innovate, test, and continuously improve value- based care
Rapidly disseminate and facilitate adoption of proven high value care models across HVHC Members and beyond
Advocate for policy and payment models that support sustainable high value healthcare

7. HVHC Member Facilities & HVHC CMS FFS Claims Data Coverage
Intermountain Healthcare
Hawaii Pacific Health
Providence St Joseph Health
Baylor Scott & White Health
Mayo Clinic
Mercy
Sentara Healthcare
Northwell Health
Dartmouth-Hitchcock
Source: CMS FFS claims data through 2018Q2

8. HVHC Data Trust CMS Claims Data 2012- 2018
All beneficiaries in all HVHC sites and referral regions
34M+ FFS beneficiaries
Member-Submitted All-Pop Administrative Data
All patients with an encounter at an HVHC site
From billing data: demographics, diagnoses, procedures, etc.
15M+ patients, 105M+ encounters
Member-Submitted Cohort-Specific Clinical Data
Patients who meet criteria for specific HVHC projects
From EMR data: lab values, procedure times, etc.
100K+ orthopedic (hip, knee, spine); 28K+ sepsis
Linked Data Sets
Features
Highly secure
Updated quarterly
Customizable
Reporting accessible via Member portal with interactive filters and drill-downs
Uses
CMS measures: reduced lag comparative reporting and insights
Value analysis, research, and planning
Clinical care demographic and descriptive statistics
QI monitoring
Updated April 2019