Bruce D. Greenstein,

Chief Technology Officer,

U.S. Department of

Health and Human

Services

@HHSCTO

• The U.S. Department of Health and Human Services (HHS) is the nation's principal agency for protecting the health of all Americans and providing essential human services. The Department includes CMS, CDC, FDA, NIH, AHRQ, HRSA, SAMHSA

• ~ 79,540 employees

• The Office of the Chief Technology Officer, located in the Immediate Office of the Secretary, provides leadership and direction on data, technology, innovation and strategy across the Department of Health and Human Services

Source: hhs.gov

About HHS

The Office of the Chief Technology Officer Data Insights Institute - putting health and human services data to use to

generate health and human service insights

Business Optimization - addressing HHS business challenges with talent and

t technology

Industry Partnerships - driving partnerships across the private sector,

industry, health care innovators, and HHS

Health Innovation Strategy- Providing trusted leadership and council on

innovation strategy across the department

IDEA Lab – Driving solutions to saving the Department time and money

Commitment to Open Data

• Will establish HHS-wide data governance to generate efficiencies and improve analytical capabilities

• More effective ways to utilize finite resources and attack big problems

• For example, SAMHSA and the CDC provide millions to support programs addressing mental health and substance use disorder

• Help to create an environment where data on performance can be matched across agencies to produce outcomes

Source: hhs.gov

Get Better Insights from Better Data-

HHS ReImagine Initiative

Enterprise Data Strategy- Why?

Building an Enterprise Data Strategy at HHS

Lead the Department’s efforts to use data to drive evidence-based policy

decisions

Begin with identified strategic priorities: Opioid Epidemic

• Data assets – assess data assets and tools

• Develop roadmap – understand cultural, legal and technical steps

required to connect data for insights

• Data governance – procedures and execution plan for data integration

• Data use agreements -- institutional starting point for easier data sharing

• Technical platform – data sharing architecture

• Demonstrate rapid ROI for Strategic Priorities

Impact on Medicaid and behavioral

health in communities

• States

• Medicaid

• Health Plans

• Families & Communities

Pharmacy

Medicaid Drug Program

(MDP)

Program

(MACPro)

(T-MSIS)

Financial

(MACFin)

MACBIS Programmatic Pillars

The 4 Functional Areas of MACBIS

11

Operational

As Is - “Former”200+ elements

Quarterly Submissions

Poor Data Quality

Limiting Data Analytics

• Lack of data integration

• State accessibility

To Be - “T-MSIS” 600+ Elements

3 new files (Managed Care, Provider, TPL)

Monthly Submissions

Data Validation Requirements

• Access to operational dashboard for validation results

Robust Data Analytics

•MACBIS data integration

•State access – national data integration

T-MSIS Operational Data Overview

T-MSIS Progress

➢ 48 states “live” and in-production representing 96% of the Medicaid population

➢ Developing T-MSIS data products for analytics

➢ Working with states one-on-one to improve quality of their state submissions

Data Analytics

➢ Leading the analysis and dissemination of Medicaid and CHIP

data for the purposes of program monitoring, policy implementation

and the improvement of health care at lower costs

➢ Improved use of data allows to drive towards better healthcare

outcomes

Share Data

Use DataImprove & Enhance

Data

Current Area of Focus – T-MSIS

T-MSIS Challenges and Opportunities

Challenge

• State variables inhibit progress

• Resource capacity, budget and complexity of state

systems

• New Data Set - State Data Quality

Opportunity

• Reduce Reporting Burden on States

• Robust Analytics Ahead

Creating the Roadmap

Code-a-thons

• Identify a problem or specific priority

• Identify data assets from HHS (CMS, SAMHSA, etc.) that

can be used to understand or address the problem

• Assess the value and use of the data - how is it currently

used and how can it be used?

• Assess programmatic constraints on data sharing and

begin a framework for data governance

• Establish data use agreements (when needed) and

acquire technical skills for data integration and analysis

Pleased to announce;

Opioid Symposium & Code-a-Thon Dec 6th & 7th , 2017

in Washington, D.C.

• First opening to connect high value HHS data

sets relevant to agencies’ work on the Opioid

Epidemic

• Connecting multi-level data

• The impact of non-health data on health

metrics: DOL, CB, DOT, DOJ

• States: Vital records, ED data, diversion

data

• Outcome: Data-driven actionable solutions

Startup Day (Mid January)

Try to Keep Up with Us

• @HHSCTO

• @HHSIDEALab

• hhs.gov/IDEALab

• IDEALab@hhs.gov

Questions? s?