Use of Expert Relevancy Ratings to Validate Task-Specific Search Strategies for Electronic Medical Records
by Harlan Harvey, Arun Krishnaraj, Tarik K Alkasab
(Published on 11 Mar 2014)
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.
A Software System to Collect Expert Relevance Ratings of Medical Record Items for Specific Clinical Tasks
by H Benjamin Harvey, Arun Krishnaraj, Tarik K Alkasab
(Published on 28 Feb 2014)
Development of task-specific electronic medical record (EMR) searches and user interfaces has the potential to improve the efficiency and safety of health care while curbing rising costs. The development of such tools must be data-driven and guided by a strong understanding of practitioner information requirements with respect to specific clinical tasks or scenarios. To acquire this important data, this paper describes a model by which expert practitioners are leveraged to identify which components of the medical record are most relevant to a specific clinical task. We also describe the computer system that was created to efficiently implement this model of data gathering. The system extracts medical record data from the EMR of patients matching a given clinical scenario, de-identifies...
JMIR Medical Informatics (JMI, ISSN 2291-9694) focusses on clinical informatics, decision support for health professionals, electronic health records, and ehealth infrastructures.
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