Use of expert relevancy ratings to validate task-specific search strategies for electronic medical records

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 relevanc...

Full description

Saved in:
Bibliographic Details
Published inJMIR medical informatics Vol. 2; no. 1; p. e4
Main Authors Harvey, Harlan, Krishnaraj, Arun, Alkasab, Tarik K
Format Journal Article
LanguageEnglish
Published Canada Gunther Eysenbach MD MPH, Associate Professor 01.01.2014
JMIR Publications
Gunther Eysenbach
Subjects
Agreements
Algorithms
Clinical standards
Computerized medical records
Datasets
Electronic health records
Experts
Gold
Medical records
Patients
Ratings & rankings
Search strategies
Viewpoint
medical records systems
medical informatics
computerized
health information management
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2291-9694
2291-9694
1438-8871
DOI:10.2196/medinform.3205