Accessibility settings

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

Design of Processes and Workflows (214) Knowledge Translation and Implementation Science (577) Postoperative Monitoring and Telemonitoring (211) Home Care (224) Telehealth and Telemonitoring (2210) User-Centered Design Case Studies (742) Ecological Momentary Assessment (EMA) (438) Design and Usability of Consumer Health Tech and Home Monitoring Devices (353)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72913, first published .
Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study

Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study

Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study

Authors of this article:

Lindsey M Philpot1 Author Orcid Image ;   Abhinav Singla1 Author Orcid Image ;   Sagar B Dugani1 Author Orcid Image ;   Rachel E Canning1 Author Orcid Image ;   Christina M Smith1 Author Orcid Image ;   Meredith A DeZutter1 Author Orcid Image ;   Priya Ramar1 Author Orcid Image ;   Jennifer M P Hovell1 Author Orcid Image ;   Jon O Ebbert1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Wu T, Han T, Zhang X, Dai Y, Meng X. A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial. JMIR mHealth and uHealth 2026;14:e72560 View