Principles, Problems, and Progress of Health Information Exchange
- Thu, January 10, 2013 @ 10:00 AM
- School of Medicine
- Biomedical informatics
- HSEB 2110
- 26 S 2000 E (Google Map Link)
- City, State, Zip
- Salt Lake City, UT 84112
- Jo Ann Thompson
Sid Thornton, PhD -
- Event Audience
- Open to Public
Capturing value from Health Information Exchange (HIE) depends on complete, accurate, and timely correlation of patient identity across participating organizations. Current operational constraints, including legal and policy considerations, require source organizations to maintain demographic traits and histories locally, typically through Master Person Index (MPI) technologies. Many proposed HIE solutions rely on shared, central identifiers across organizations. Local maintenance costs are inadvertently compounded when decisions about identity matching are shifted to a central entity. Intermountain Healthcare, with its multiple exchange partners and networks, is developing solutions to leverage the efficiencies of shared identifiers while preserving local decision autonomy. Intermountain Healthcare examined the operational and scalability constraints of patient matching in an instance of an NwHIN conformant clinical exchange (the Care Connectivity Consortium (CCC) project) together with existing patient identity exchange commitments to the Utah Health Information Network clinical exchange (cHIE), the Utah Department of Health, the Utah Population Database, and the emerging Statewide MPI for Utah Healthcare. Successful HIEs must consider: 1) Publishing identity trait updates to an intermediary validation authority, thereby facilitating pre-correlation of eligible identities and protecting the core source EMPI from untimely or unscrupulous updates; 2) Accommodating bi-directional feedback, prompts, and critiquing information between the shared components and the source systems' integrated workflows; 3) Establishing common identifiers based on statistical confidence of local source acceptance and attestation; 4) Eliminating the necessity of synchronizing matching traits across all participating organizations for accuracy; and 5) Reducing the number of redundant matching software applications resolving identical source identity traits.
Sid Thornton, PhD is a Medical Informatics Director with the Homer Warner Center for Informatics Research at Intermountain Healthcare in Salt Lake City, Utah. His responsibilities include interoperability among clinical and administrative systems including patient and provider registries and health information exchange. He serves as adjunct faculty to the University of Utah School of Medicine Department of Bioinformatics with research focus areas in perinatal information systems and activity-based encounter management. In 2002, he was awarded the Homer R. Warner Award from AMIA for his work in activity-based cost capture.