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

Decision Support for Health Professionals (1185) Tools, Programs and Algorithms (266) Electronic Health Records (1053)

Published on in Vol 6, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9679, first published .
Agile Acceptance Test–Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software

Agile Acceptance Test–Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software

Agile Acceptance Test–Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software

Authors of this article:

Mujeeb A Basit1 Author Orcid Image ;   Krystal L Baldwin1 Author Orcid Image ;   Vaishnavi Kannan1 Author Orcid Image ;   Emily L Flahaven1 Author Orcid Image ;   Cassandra J Parks1 Author Orcid Image ;   Jason M Ott1 Author Orcid Image ;   Duwayne L Willett1 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Kannan V, Basit M, Bajaj P, Carrington A, Donahue I, Flahaven E, Medford R, Melaku T, Moran B, Saldana L, Willett D, Youngblood J, Toomay S. User stories as lightweight requirements for agile clinical decision support development. Journal of the American Medical Informatics Association 2019;26(11):1344 View
  2. Chu L, Kannan V, Basit M, Schaeflein D, Ortuzar A, Glorioso J, Buchanan J, Willett D. SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets. JMIR Medical Informatics 2019;7(1):e11487 View
  3. Kokol P. Agile Software Development in Healthcare: A Synthetic Scoping Review. Applied Sciences 2022;12(19):9462 View
  4. Sikder A, Dickhoner J, Kysh L, Musheghyan L, Shekherdimian S, Levine B, Espinoza J. International Collaboration to Develop a Remote Monitoring Web App for COVID-19 Patients in Armenia: Design and Development With Agile Methodology. JMIR Human Factors 2022;9(4):e40110 View
  5. Deming C, Khair M, Mallipeddi S, Varghese A. Software Testing in the Era of AI: Leveraging Machine Learning and Automation for Efficient Quality Assurance. Asian Journal of Applied Science and Engineering 2021;10(1):66 View

Books/Policy Documents

  1. Lourdusamy R, Mattam X. Machine Learning with Health Care Perspective. View