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

Clinical Informatics (904) Electronic Health Records (961) Design and Usability of Clinical Software and EHRs (242) Physician and Healthcare Worker Burnout (97)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22939, first published .
A Bespoke Electronic Health Record for Epilepsy Care (EpiToMe): Development and Qualitative Evaluation

A Bespoke Electronic Health Record for Epilepsy Care (EpiToMe): Development and Qualitative Evaluation

A Bespoke Electronic Health Record for Epilepsy Care (EpiToMe): Development and Qualitative Evaluation

Authors of this article:

Shiqiang Tao1, 2 Author Orcid Image ;   Samden Lhatoo1, 2 Author Orcid Image ;   Johnson Hampson1, 2 Author Orcid Image ;   Licong Cui2, 3 Author Orcid Image ;   Guo-Qiang Zhang1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Feofanova E, Zhang G, Lhatoo S, Metcalf G, Boerwinkle E, Venner E. The Implementation Science for Genomic Health Translation (INSIGHT) Study in Epilepsy: Protocol for a Learning Health Care System. JMIR Research Protocols 2021;10(3):e25576 View
  2. Chatterjee A, Pahari N, Prinz A. HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. Sensors 2022;22(10):3756 View