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Journal Article

Citation

Cummins MR, Ranade-Kharkar P, Johansen C, Bennett H, Gabriel S, Crouch BI, Del Fiol G, Hoffman M. Appl. Clin. Inform. 2018; 9(3): 553-557.

Affiliation

Medical Informatics, Utah Health Information Network, Murray, Utah, United States.

Copyright

(Copyright © 2018, Schattauer)

DOI

10.1055/s-0038-1667000

PMID

30045385

Abstract

BACKGROUND:  U.S. poison control centers pose a special case for patient identity matching because they collect only minimal patient identifying information.

METHODS:  In early 2017, the Utah Poison Control Center (Utah PCC) initiated participation in regional health information exchange by sending Health Level Seven Consolidated Clinical Document Architecture (C-CDA) documents to the Utah Health Information Network and Intermountain Healthcare. To increase the documentation of patient identifiers by the Utah PCC, we (1) adapted documentation practices to enable more complete and consistent documentation, and (2) implemented staff training to improve collection of identifiers.

RESULTS:  Compared with the same time period in 2016, the Utah PCC showed an increase of 27% (p < 0.001) in collection of birth date for cases referred to a health care facility, while improvements in the collection of other identifiers ranged from 0 to 8%. Automated patient identity matching was successful for 77% (100 of 130) of the C-CDAs.

CONCLUSION:  Historical processes and procedures for matching patient identities require adaptation or added functionality to adequately support the PCC use case.

Georg Thieme Verlag KG Stuttgart · New York.


Language: en

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