• Data Commons’ approach
• Data Commons’ Services
• Use of MedBiquitious Professional Profile
standard
Today’s Topics
Six
organizations
partnered…
To create a
robust data
sharing system…
Data Commons’
Data Hub
Jane Smith
AAMC #4
ID Match
By matching
Data in Original State
Identifiers from AAMC
ECFMG
multiple
NBME
organizations
Other
NBME #10
Med
School #25
ECFMG
#90
Using MedBiquitious Professional
Profile standard
To create aggregated data sets: identified or de-identified
AAMC
ECMFG
Med Schl
Other
ID Match
Data in Original State
Data Commons’
Data Hub
Aggregated
Data Set
Temporarily Created in Data
Commons & Sent to
Requestor
Send data to “apps”
Current & Planned Services
• Verification
• Verification+
• Research
• Staff exploring for possible future development:
• Outcome Tracking
• Direct Credential Verification
Verification
• Need: Company want to offer a service to a medical professional and
need to make sure that s/he is a medical professional, but do not
want to check with every hospital, state, medical school, etc.
• Solution: Company sends information to Data Commons, LLC, who
verifies it.
• Example: Check to see someone has a valid medical license; is
enrolled in medical school.
• Timeline: Launching in Su 2014. Marketing underway now.
Participation
• By Data Holders:
• If your data can be used to “prove” something, e.g. with a “yes / no” answer
• Medical student status
• Resident status
• API complete. Service ready Summer 2014.
• By Software / Data Consumers / Companies:
• Connect to our web service.
Verification+
• Need: Hospital need verified information / documents proving that
someone has the status that is claimed.
• Solution: Software program hospital uses requests that Data
Commons receive official documents, and send them on.
• Examples: Board certification and license status
• Timeline: Summer 2014
Participation
• By Data Holders:
• If your data can be used in credential verification, or pre-population of fields
physicians need filled out, e.g.
• Physician employment
• Physician credentialing / privileging
• Data need to be identified – e.g. about a specific person.
• Business analysis to begin late winter. Service should be ready in the
Summer.
• By Software / Data Consumers / Companies:
• CVOs (credential verification organizations) are welcome to participate.
Research
• Need: Researcher wants to create a robust data set to do research – a
data set that includes many organizations’ data, linked together by
individual.
• Solution: Data Commons can search across many organizations’ data
at once, create a data set linked together by matched identifiers, and
then return a de-identified data set.
• Example: How many students who have an MCAT score of “x”, a
USMLE Step 3 score of “y”, now have ABFM certification and work in
a rural area?
• Timeline: Public demonstration projects underway; service launch
after that date. Likely no earlier than Fall 2014.
Participation
• By Data Holders:
• If you are willing to share de-identified data, to be combined with other data,
about specific individuals.
• Process to approve research has been drafted. We are not likely to publicly
launch the service until Fall 2014 at the very earliest.
• By Researchers:
• We are looking for beta users who are interested in working with us to test
and develop the service.
Data Commons and the HPP
• MedBiquitous Healthcare Professional Profile (HPP)
• HPP v.1.81 (with extension schemas) serves as the core result
payload structure
• Assessments
• Student data
• Simplified results
• Worked with MedBiquitous to add common source and id
attributes to all elements
• source attribute allows Data Commons to identify data contributor
for XML subtrees
Data Commons Payload
Use of the HPP source Attribute
Use of the HPP source Attribute
Contact:
Dana Bostrom
202.741.6450
bostrom@mydatacommons.org