Open AccessTechnical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation
Author(s) -
Lochan M Shah,
William Yang,
Ryan Demo,
Matthias Lee,
Daniel Weng,
Rongzi Shan,
Shan Wongvibulsin,
Erin M. Spaulding,
Françoise A. Marvel,
Seth S. Martin
Publication year - 2019
Publication title -
jmir mhealth and uhealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.356
H-Index - 50
ISSN - 2291-5222
DOI - 10.2196/14124
Subject(s) - mhealth , context (archaeology) , bluetooth , psychological intervention , health care , internet privacy , intervention (counseling) , process (computing) , computer science , telemedicine , population , medicine , knowledge management , nursing , wireless , telecommunications , paleontology , economics , biology , economic growth , operating system , environmental health
The explosion of mobile health (mHealth) interventions has prompted significant investment and exploration that has extended past industry into academia. Although research in this space is emerging, it focuses on the clinical and population level impact across different populations. To realize the full potential of mHealth, an intimate understanding of how mHealth is being used by patients and potential differences in usage between various demographic groups must also be prioritized. In this viewpoint, we use our experiences in building an mHealth intervention that incorporates an iOS app, Bluetooth-enabled blood pressure cuff, and Apple Watch to share knowledge on (1) how user interaction data can be tracked in the context of health care privacy laws, (2) what is required for effective, nuanced communication between clinicians and engineers to design mHealth interventions that are patient-centered and have high clinical impact, and (3) how to handle and set up a process to handle user interaction data efficiently.