Aaron Abend

Reinventing data extraction from electronic health records (EHRs) to meet new analytical needs is slow and expensive. However, each new data research network that wishes to support its own analytics tends to develop its own data model. Joining these different networks without new data extraction, transform, and load (ETL) processes can reduce the time and expense needed to participate. The Informatics for Integrating Biology and the Bedside (i2b2) project supports data network interoperability… Show more

Reinventing data extraction from electronic health records (EHRs) to meet new analytical needs is slow and expensive. However, each new data research network that wishes to support its own analytics tends to develop its own data model. Joining these different networks without new data extraction, transform, and load (ETL) processes can reduce the time and expense needed to participate. The Informatics for Integrating Biology and the Bedside (i2b2) project supports data network interoperability through an ontology-driven approach. We use i2b2 as a hub, to rapidly reconfigure data to meet new analytical requirements without new ETL programming. Show less

HealthShare Montana (HSM), Montana's state-designated entity for health information exchange (HIE), in collaboration with the Institute of Translational Health Sciences at the University of Washington School of Medicine, Recombinant Data Corporation (RDC) and Covisint (HSM's HIE infrastructure vendor) received an award in response to its proposal for Challenge Theme Five, Fostering Distributed Population-Level Analytics. The essence of the HSM Challenge… Show more

HealthShare Montana (HSM), Montana's state-designated entity for health information exchange (HIE), in collaboration with the Institute of Translational Health Sciences at the University of Washington School of Medicine, Recombinant Data Corporation (RDC) and Covisint (HSM's HIE infrastructure vendor) received an award in response to its proposal for Challenge Theme Five, Fostering Distributed Population-Level Analytics. The essence of the HSM Challenge Theme Five proposal is to adapt Informatics for Integrating Biology and the Bedside (i2b2)1 to build a research-focused data warehouse and analytic environment that will provide novel access to data in HSM's clinical data repository (CDR); the core element of the statewide HIE. Originally developed to provide a flexible and simple data query tool for researcher-driven translational research projects, i2b2 is a versatile open-source data integration framework that is being increasingly adopted across a wide spectrum of clinical and translational environments to support a range of end-uses associated with clinical data repositories.
Show less

The Cross-Institutional Clinical Translational Research project explored a federated query tool and looked at how this tool can facilitate clinical trial cohort discovery by managing access to aggregate patient data located within unaffiliated academic medical centers.

A technical paper that describes an approach to Integrating Clinical Data into the i2b2 Repository.