Personal health records an approach to answer: what works for whom in what circumstances?

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Abstract

National Health Service (NHS) policy suggests that increasing usage of electronic personal health records (PHR) by patients will result in cost savings and improved public health, especially for people with long-term conditions. PHR design features are inevitably important, since a good PHR design should make the
users achieve their health goals effortlessly, which is understandable and usable. Three original theoretical models were developed using realist evaluation, one per long-term condition cohort, describing the interaction between the PHR design features and the patient and disease specific factors, to help determine what works
for whom in what circumstances.
Original languageEnglish
Title of host publicationChallenges of Trustable AI and Added-Value on Health
EditorsBrigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos
Place of PublicationParis
PublisherIOS Press BV
Pages725-729
Number of pages4
ISBN (Electronic)9781643682853
ISBN (Print)9781643682846
DOIs
Publication statusPublished - 20 Apr 2022
EventMedical Informatics Europe: Challenges of trustable AI and Added-Value on Health: Challenges of trustable AI and added-value on health - Nice, France
Duration: 27 May 202231 May 2022
https://mie2022.org/

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume294
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceMedical Informatics Europe: Challenges of trustable AI and Added-Value on Health
Abbreviated titleMIE2022
Country/TerritoryFrance
CityNice
Period27/05/2231/05/22
Internet address

Keywords

  • personal health record
  • realist evaluation
  • diabetes
  • asthma
  • heart disease

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