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

Extended Abstracts - Connected Health Symposium 2015 (19)

Published on in Vol 1, No 1 (2015): October

Adapting A Unified Electronic Health Record Usability Framework for Evaluation of Connected Health Care Technologies Linking Mobile Data

Adapting A Unified Electronic Health Record Usability Framework for Evaluation of Connected Health Care Technologies Linking Mobile Data

Adapting A Unified Electronic Health Record Usability Framework for Evaluation of Connected Health Care Technologies Linking Mobile Data

Authors of this article:

Jing Wang1 Author Orcid Image ;   Jiajie Zhang2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Wang J, Coleman D, Kanter J, Ummer B, Siminerio L. Connecting Smartphone and Wearable Fitness Tracker Data with a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial. JMIR Research Protocols 2018;7(4):e10009 View
  2. Wang J. Mobile and Connected Health Technologies for Older Adults Aging in Place. Journal of Gerontological Nursing 2018;44(6):3 View
  3. Li S, Yin Z, Lesser J, Li C, Choi B, Parra-Medina D, Flores B, Dennis B, Wang J. Community Health Worker-Led mHealth-Enabled Diabetes Self-management Education and Support Intervention in Rural Latino Adults: Single-Arm Feasibility Trial. JMIR Diabetes 2022;7(2):e37534 View
  4. Yin Z, Errisuriz V, Cuevas H, Flores B, Delfausse L, Galvan C, Wang J, Li C, Morfin R, Li S, Sapargeldiyeva M, Muyna G, Zhang M, Sweet V, Parra-Medina D. Assessing a Community Health Worker-Facilitated, Digitally Delivered, Family-Centered Diabetes Management Program: Single-Arm Quasi-Experimental Study. JMIR Formative Research 2025;9:e79032 View