This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (634) Clinical Informatics (1165) Design and Usability of Clinical Software and EHRs (300) Electronic Health Records (1186) eHealth Infrastructures (395)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45376, first published .
Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications

Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications

Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications

Authors of this article:

Danny T Y Wu1, 2 Author Orcid Image ;   David Hanauer2, 3 Author Orcid Image ;   Paul Murdock4, 5 Author Orcid Image ;   V G Vinod Vydiswaran2, 3 Author Orcid Image ;   Qiaozhu Mei2 Author Orcid Image ;   Kai Zheng2, 6 Author Orcid Image
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JMIR Formative Res: Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications https://t.co/yv5eBXTh7U https://t.co/4cW16NkAxv

12:57 PM · Sep 15, 2023

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RT @jmirpub: JMIR Formative Res: Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query…

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Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications https://t.co/B7teqs0nM9

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New research from UMSI: Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications V G Vinod Vydiswaran, Qiaozhu Mei and colleagues @vgvinodv @jmirpub https://t.co/N8zKCQEn0A

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