Edinburgh Research Explorer

User Involvement in the Design of a Data-Driven Self-Management Decision Support Tool for Stroke Survivors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Panos Balatsoukas
  • Talya Porat
  • Isabel Sassoon
  • Kai Essers
  • Nadin Kokciyan
  • Martin Chapman
  • Archie Drake
  • Sanjay Modgil
  • Mark Ashworth
  • Elizabeth Sklar
  • Simon Parsons
  • Vasa Curcin

Related Edinburgh Organisations

Original languageEnglish
Title of host publicationProceedings of the IEEE EUROCON 2019 -18th International Conference on Smart Technologies
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-1-5386-9301-8
ISBN (Print)978-1-5386-9302-5
Publication statusPublished - 10 Oct 2019
EventIEEE EUROCON 2019 -18th International Conference on Smart Technologies - Novi Sad, Serbia
Duration: 1 Jul 20194 Jul 2019


ConferenceIEEE EUROCON 2019 -18th International Conference on Smart Technologies
Abbreviated titleEUROCON 2019
CityNovi Sad
Internet address


Many chronic conditions can be better managed by patients themselves with the use of decision support tools. This becomes even more necessary in the case of multimorbidity (i.e. presence of multiple chronic diseases) or in conditions where several underlying risk factors need to be managed and monitored in order to avoid relapse or the reoccurrence of an event, like in the case of stroke. However, despite the fact that these decision support systems are becoming prevalent, little is known about the best practices in designing for end-users - patients and their carers. The aim of the present paper is to report on the process of involving users to inform the design of a novel data-driven self-management mobile decision support tool for stroke survivors, called CONSULT. User involvement was facilitated through the use of a two-phase participatory design approach. During both phases a total of 44 stakeholders participated, including stroke survivors, carers, healthcare professionals and researchers. The paper documents the findings of the participatory design process, in the form of design recommendations, and describes their implications for user interface design.

    Research areas

  • decision support systems, diseases, health care, medical computing, mobile computing, user interfaces, user involvement, multiple chronic diseases, user interface design, stroke survivors, data-driven self-management mobile decision support tool, Tools, Biomedical monitoring, Medical services, Decision support systems, Monitoring, Informatics, human factors, human computer interaction, decision support, healthcare


IEEE EUROCON 2019 -18th International Conference on Smart Technologies


Novi Sad, Serbia

Event: Conference

ID: 118096477