A Patient Centred Approach to Rare Disease Technology

Emily Esther Nielsen, Tom Owen, Matthew Roach, Alan Dix

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

1 Citation (Scopus)

Abstract

Rare disease patients face a long, arduous process to obtain a correct diagnosis. This often involves multiple misdiagnoses, leading to undue treatments and surgeries; patients are left feeling unheard by their healthcare providers and are even isolated from their peers who 'just don't understand'. Research to support clinicians in diagnosing rare disease patients has made great strides. However, little research aims to support the patients through this challenging time; and those that do, demonstrate minimal patient input in the design process. This is the first paper that uses methodologically robust patient driven design of pre-diagnostic technologies for rare disease patients. We conducted two workshops with rare disease patients to design a probe technology and subsequently evaluated the probe using a questionnaire. This revealed that rare disease patients predominantly wanted clinician communication aids (90.5%) and social support (61.9%) from technology, rather than the informational support that is typical with patient technology.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394222
DOIs
Publication statusPublished - 19 Apr 2023
Externally publishedYes
Event2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany
Duration: 23 Apr 202328 Apr 2023

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/TerritoryGermany
CityHamburg
Period23/04/2328/04/23

Keywords

  • co-design
  • participatory design
  • patient centred design
  • rare disease

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