Putting the "why" in "EHR": capturing and coding clinical cognition.
Where this comes from
- Record sourced from PubMed, PMID 31407781.
- Also identified by DOI 10.1093/jamia/ocz125 and PMC identifier 6798564.
- Licence recorded as CC BY-NC.
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Abstract
Complaints about electronic health records, including information overload, note bloat, and alert fatigue, are frequent topics of discussion. Despite substantial effort by researchers and industry, complaints continue noting serious adverse effects on patient safety and clinician quality of life. I believe solutions are possible if we can add information to the record that explains the "why" of a patient's care, such as relationships between symptoms, physical findings, diagnostic results, differential diagnoses, therapeutic plans, and goals. While this information may be present in clinical notes, I propose that we modify electronic health records to support explicit representation of this information using formal structure and controlled vocabularies. Such information could foster development of more situation-aware tools for data retrieval and synthesis. Informatics research is needed to understand what should be represented, how to capture it, and how to benefit those providing the information so that their workload is reduced.
Medical subject headings
- Artificial Intelligence
- Electronic Health Records
- User-Computer Interface