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

Formative Evaluation of Digital Health Interventions (2491) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) mHealth in a Clinical Setting (624)

Published on in Vol 4, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17512, first published .
XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study

XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study

XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study

Authors of this article:

Ever Augusto Torres Silva1 Author Orcid Image ;   Sebastian Uribe1 Author Orcid Image ;   Jack Smith2 Author Orcid Image ;   Ivan Felipe Luna Gomez1 Author Orcid Image ;   Jose Fernando Florez-Arango3 Author Orcid Image
Article Authors Cited by (6) Tweetations (6) Metrics

Journals

  1. Hak F, Guimarães T, Santos M, Oliva G. Towards effective clinical decision support systems: A systematic review. PLOS ONE 2022;17(8):e0272846 View
  2. Lu Z, Wang W, Florez-Arango J, Seo J, Hamilton D, Wells-Beede E. A Framework to Develop an Immersive Virtual Reality Simulation Tool for Postpartum Hemorrhage Management Nurse Training. Nursing Education Perspectives 2024;45(3):189 View
  3. Dosyn D, Yatsenko A, Kovalevych V, Daradkeh Y. Application of automated planning technologies for completing the medical knowledge base. Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 2022;12:177 View
  4. Lin X, Liang C, Liu J, Lyu T, Ghumman N, Campbell B. Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review. Journal of Medical Internet Research 2024;26:e54737 View

Books/Policy Documents

  1. Dosyn D. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems. View
  2. Kuziemsky C, Nohr C, Florez-Arango J, Patel V. Personal Health Informatics. View