7th Annual AMIA Invitational Health Policy Meeting December 12-13 ...

Project Overview Purpose/Type of Data Project Features Results Challenges
Using EHRs to recruit for clinical trials. Ohio State Univ.
Wexner Medical Center (OSUWMC), Columbia Univ.
Medical Center, and Weill Cornell Medical College.
NLM-funded. Proposes that an improved longitudinal
health record (comprehensive patient clinical summary)
can improve screening for clinical trials.
Integrating Data for Analysis, Anonymization, and
Sharing (iDASH). Project of National Center for
Biomedical Computing (NCBC), at the Univ of California,
San Diego. Aims to enable data sharing for collaborative
scientific discovery and analysis through secure
cyberinfrastructure housing data repository with sharing
permissions controlled by data contributor, privacy
policies that protect and enable data sharing, and
analytic tools and web services. Data repository
enables developers to integrate heterogeneous data
form national biomedical, clinical and informatics
communities. 10
AMIA Invitational Health Policy Meeting 2012
Page 38 12/10/2012
Innovative approach to
integrate data in EHRs to
generate a longitudinal
medical history to
accelerate recruitment of
patients in trials
Heterogeneous data from
national biomedical, clinical
and informatics
communities. Protected
health information on
health conditions includes
EHRs and genomic data.
Also hosts data sets that do
not contain personal health
information including
physical activity sensor data
and de-identified medical
images.
“Information fusion,”
combines processing of
data stored in uncoded,
narrative text; extraction of
structured data from
unstructured data; merging
of multiple data sets; and
combination of episodic
events to create medical
portrait.
Cyberinfrastructure on top
of a HIPAA-compliant
private cloud; portal to
algorithms, open source
software, data, and
training. Data modeling
standards used when
possible; maps data to
existing component
schemas. Data Use
Agreement wizard
facilitates data sharing.
Electronic consent
management system
embeds education
resources.
Project underway for 3 years
at OSU. Research efforts
focused on
extracting/annotating data
from OSUWMC EMR;
performing studies on
medical event coreference
resolution; and temporally
ordering medical events
extracted from clinical
narratives. NLM funding will
support sharing of data
across institutions.
iDASH platform maturing
into secure, privacypreserving
scalable
environment for integration
and analysis of genomic,
transcriptomic, phenotypic,
behavioral and
environmental data. Reduces
burden on data owners and
users by allowing outsourcing
of data sharing process to
specialized team that
understands research needs.
Initial approach is to
collaboratively develop
research methods, but
evaluate research
independently without sharing
data. In the future, data
sharing agreements will be
established among the 3
medical centers.
Addressing need to balance
data privacy and data sharing
through privacy policies and
processes to regulate data
sharing and novel privacy
preservation algorithms.