Literature DB >> 32275956

Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study.

Devasena Inupakutika1, Sahak Kaghyan2, David Akopian3, Patricia Chalela4, Amelie G Ramirez5.   

Abstract

Mobile health (mHealth) apps have received increasing attention, due to their abilities to support patients who suffer from various conditions. mHealth apps may be especially helpful for patients with chronic diseases, by providing pertinent information, tracking symptoms, and inspiring adherence to medication regimens. To achieve these objectives, researchers need to prototype mHealth apps with dedicated software architectures. In this paper, a cloud-based mHealth application development concept is presented for chronic patient supportive care apps. The concept integrates existing software platforms and services for simplified app development that can be reused for other target applications. This developmental method also facilitates app portability, through the use of common components found across multiple mobile platforms, and scalability, through the loose coupling of services. The results are demonstrated by the development of native Android and cross-platform web apps, in a case study that presents an mHealth solution for endocrine hormone therapy (EHT). A performance analysis methodology, an app usability evaluation, based on focus group responses, and alpha and pre-beta testing results are provided.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Applications; Cross-platform; Mobile computing; Mobile devices; Mobile health; Smartphones

Mesh:

Year:  2020        PMID: 32275956     DOI: 10.1016/j.jbi.2020.103420

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  2 in total

Review 1.  A Systematic Review of the Scope of Study of mHealth Interventions for Wellness and Related Challenges in Pediatric and Young Adult Populations.

Authors:  Sarah J Bond; Nathan Parikh; Shrey Majmudar; Sabrina Pin; Christine Wang; Lauren Willis; Susanne B Haga
Journal:  Adolesc Health Med Ther       Date:  2022-02-07

2.  HealMA: a model-driven framework for automatic generation of IoT-based Android health monitoring applications.

Authors:  Maryam Mehrabi; Bahman Zamani; Abdelwahab Hamou-Lhadj
Journal:  Autom Softw Eng       Date:  2022-09-27       Impact factor: 1.677

  2 in total

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