Vision: improved development of mobile eHealth applications

John Grundy, Mohamed Abdelrazek, Maheswaree Kissoon Curumsing

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

11 Citations (Scopus)

Abstract

Mobile eHealth applications have become very popular, not just using mobile phones but also wearables, mobile AR/VR, and increasingly "smart houses" and "smart care" sensing and interaction facilities. However, a large majority of these solutions, despite early promise, suffer from a range of challenges including effort to develop, deploy and maintain; lack of end user acceptance; integration with other health systems; difficulty in tailoring to divergent users; lack of adequate feedback to developers; lack of sustainable adoption; and ultimately lack of success. In this MobileSoft vision paper we characterise these key issues from a Software Engineering perspective and present and discuss some approaches to mitigating them, building on our and others prior work.

Original languageEnglish
Title of host publicationProceedings - 2018 ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2018
Subtitle of host publicationGothenburg, Sweden 27-28 May 2018
EditorsGrace Lewis, Itai Segall
Place of PublicationNew York NY USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages219-223
Number of pages5
ISBN (Print)9781450357128
DOIs
Publication statusPublished - 2018
EventInternational Conference on Mobile Software Engineering and Systems 2018 - Gothenburg, Sweden
Duration: 27 May 201828 May 2018
Conference number: 5th
https://mobilesoftconf.org/2018/ (conference website)
https://ieeexplore.ieee.org/xpl/conhome/8534999/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Mobile Software Engineering and Systems 2018
Abbreviated titleMOBILESoft 2018
Country/TerritorySweden
CityGothenburg
Period27/05/1828/05/18
Internet address

Keywords

  • behavioural requirements
  • configuration andadaptation
  • emotionoriented requirements
  • living lab
  • mobile eHealth applications
  • model-driven engineering
  • user feedback

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