Experts views on the use of mobile devices to support patients with mild learning disabilities during clinical consultations
Gibson, Ryan Colin and Bouamrane, Matt-Mouley and Dunlop, Mark (2019) Experts views on the use of mobile devices to support patients with mild learning disabilities during clinical consultations. In: The 17th World Congress on Medical and Health Informatics Health and wellbeing e-networks for all, 2019-08-25 - 2019-08-30.
Preview |
Text.
Filename: Gibson_etal_Medinfo2019_Experts_views_on_the_use_of_mobile_devices_to_support_patients_with_mild.pdf
Accepted Author Manuscript Download (397kB)| Preview |
Abstract
Due to several factors including time and budget constraints, General Practitioners (GPs) are often under-trained on the communication needs of patients with learning disabilities (LDs). As such, they may find it difficult to extract accurate information from these patients. Digital technologies have the potential to alleviate communication barriers, yet their use in this context remains vastly unexplored. Hence, we conducted 2 focus groups with 12 experts in LDs to investigate how tablet applications may be used to promote the information exchange process between GPs and patients with mild LDs. The experts identified an initial set of design criteria for the future implementation of these technologies and were enthusiastic about the potential impact they may have on primary care. In addition, they also discussed a potential model for extracting medical information from this population, which focused on breaking the overall consultation down into smaller, less cognitively challenging segments.
ORCID iDs
Gibson, Ryan Colin ORCID: https://orcid.org/0000-0002-0425-1486, Bouamrane, Matt-Mouley ORCID: https://orcid.org/0000-0002-1416-751X and Dunlop, Mark ORCID: https://orcid.org/0000-0002-4593-1103;-
-
Item type: Conference or Workshop Item(Paper) ID code: 68579 Dates: DateEvent25 August 2019Published13 March 2019AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 25 Jun 2019 11:29 Last modified: 11 Nov 2024 16:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/68579