hhs.gov/idealab

@damonldavis

hhs.gov/idealab

We are now living in a health care system where

data is driving change

hhs.gov/idealab

Payment reform

Data is changing…

Individual health interactions

Treatment @ the point of care

hhs.gov/idealab

Changing the default setting for data from closed to open

hhs.gov/idealab

U.S. Department of Health

and Human Services

0

hhs.gov/idealab

National Institutes

of Health

NCI

NEI

NHLBI

NIA

NINR

NINDS

NIAAA

OD

CC

FIC

CSR

CIT

NLM

NIAID

NIAMS

NIBIB

NICHD

NIDCD

NIDCR

NIDDK

NIDA

NIEHS

NIGMS

NIMH

NIMHD

NHGRI

NCCAM

NCATS

NIDCR

National Cancer Institute

CCR

CCCT

CGH

FNLCR

DCB

OAR

OCNR

DCP

CRCHD

HIV & AIDS

CBIIT

OGA

OCCPR

OGCR

OCCOCE

OBF

DCEG

DCTD

CCT

CSSI

TTC

OA

DEA

OCG

OPSO

OPARC

OSPA

DCCPS

U.S. Department of

Health and Human

Services

hhs.gov/idealab

hhs.gov/idealab

What’s being liberated

and how is it used?

hhs.gov/idealab

Using Data to Spur Health

System Transformation…

• Data Navigator

• Quality Indicators

• Virtual Research Data Center

(VRDC)

hhs.gov/idealab

hhs.gov/idealab

OpenFDA

More data available in more useful

formats via API and raw structured file

download

• Medical Device Adverse Events

• Recall reports

• Prescription Drug, OTC Drug,

Biological Product Labeling

hhs.gov/idealab

hhs.gov/idealab

hhs.gov/idealab

Catalyzing and testing new ideas rapidly

Accelerating proven ideas through investment

HHS Ignite Accelerator

HHS Ventures Fund

Recognizing HHS employees’ innovations

HHS Innovates Awards

hhs.gov/idealab

Partnering with not-for-profits to recruit external talent to work on a shared problem

Recruiting external talent to work on high-risk, high-reward projects over a 12-month period

HHS Entrepreneurs-in-Residence

HHS Innovators-in-Residence

hhs.gov/idealab

Demand-Driven Open Data

An introduction for data owners

http://demand-driven-open-data.github.ioDavid.Portnoy@HHS.gov

Evaluation & feedback

Complete use cases

Implement

Prioritized use cases

PrioritizeIncoming use cases

Prioritization is at the level of program owner

Consider implementation cost, savings from avoided future requests (such as FOIA), revenue opportunity for future cost recovery, risk of PII/PHI, risk of misinterpretation

Including strategic relevance, agency mission, org priorities, recognition

The decision to implement is not binary. It involves requirements management for potentially multiple

interested parties

① ② ③

All prioritization and implementation decisions are made by Data Owners.We found there are typically 3 drivers.

HealthDatapalooza.org