title: Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE).
abstract: Growing participation in Healthcare Information Exchange (HIE) has created opportunities for the seamless integration of external data into an organization's own EHR and clinical workflows. The process of integrating external data has the potential to detect data integrity issues. Lack of critiquing external data before its incorporation can lead to data unfit for use in the clinical setting. HIE data adjudication, by detecting inconsistencies, physiological and temporal incompatibilities, data completeness and timeliness issues in HIE data, facilitates corrective actions and improves clinical data integrity.
authors.affiliation: Intermountain Healthcare, Murray, UT ; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
authors.forename: Pallavi
authors.initials: P
authors.lastname: Ranade-Kharkar
authors.affiliation: Intermountain Healthcare, Murray, UT.
authors.forename: Susan E
authors.initials: SE
authors.lastname: Pollock
authors.affiliation: Intermountain Healthcare, Murray, UT.
authors.forename: Darren K
authors.initials: DK
authors.lastname: Mann
authors.affiliation: Intermountain Healthcare, Murray, UT ; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
authors.forename: Sidney N
authors.initials: SN
authors.lastname: Thornton
mesh_terms: D057286:Electronic Health Records / Q000592:standards*; D066275:Health Information Exchange; D006801:Humans; D033181:Information Dissemination