title: Use of expert relevancy ratings to validate task-specific search strategies for electronic medical records.
abstract: As electronic medical records (EMRs) grow in size and complexity, there is increasing need for automated EMR tools that highlight the medical record items most germane to a practitioner's task-specific needs. The development of such tools would be aided by gold standards of information relevance for a series of different clinical scenarios. We have previously proposed a process in which exemplar medical record data are extracted from actual patients' EMRs, anonymized, and presented to clinical experts, who then score each medical record item for its relevance to a specific clinical scenario. In this paper, we present how that body of expert relevancy data can be used to create a test framework to validate new EMR search strategies.
authors.affiliation: Department of Radiology, Massachusetts General Hospital, Boston, MA, United States. hbharvey@partners.org.
authors.forename: Harlan
authors.initials: H
authors.lastname: Harvey
authors.forename: Arun
authors.initials: A
authors.lastname: Krishnaraj
authors.forename: Tarik K
authors.initials: TK
authors.lastname: Alkasab
keywords: computerized; health information management; medical informatics; medical records systems