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

Electronic Health Records (1068) Clinical Information and Decision Making (1434) Mobile Health (mhealth) (2982) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Decision Support for Health Professionals (1210) mHealth for Health Administration (150) mHealth in a Clinical Setting (624) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16980, first published .
Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis

Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis

Categorization of Third-Party Apps in Electronic Health Record App Marketplaces: Systematic Search and Analysis

Authors of this article:

Jordon Ritchie1 Author Orcid Image ;   Brandon Welch1 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Li J, Zhang X, Zhou X. ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study. JMIR Medical Informatics 2021;9(1):e23086 View
  2. Barker W, Johnson C. The ecosystem of apps and software integrated with certified health information technology. Journal of the American Medical Informatics Association 2021;28(11):2379 View
  3. Schiltz N, Foradori M, Reimer A, Plow M, Dolansky M. Availability of information on functional limitations in structured electronic health records data. Journal of the American Geriatrics Society 2022;70(7):2161 View