Logo des Repositoriums
 

Human Centered Approach for Designing Data Enabled Tools: Exploring the potential of patient generated data for CVD Prevention and Rehabilitation.

Kurzanzeige
dc.contributor.authorV S Pakianathan, Pavithren
dc.date.accessioned2024-08-21T11:08:38Z
dc.date.available2024-08-21T11:08:38Z
dc.date.issued2024
dc.description.abstractThe PhD thesis explores the integration of patient generated health data into healthcare systems. At a broader level, I explore challenges to integration of patient generated health data from the perspectives of Healthcare professionals and patients while engaging in shared decision making. This resulted in a 10 stage workflow model for integrating patient generated health data in healthcare settings. Next I focus on how patient generated health data can be integrated into clinical pathways involving physical activity planning of cardiovascular disease patients during cardiac rehabilitation. Preliminary findings emphasise the need to focus on HCP data and information needs to effectively integrate patient generated health data in clinical workflows. As a followup, I explore the use of generativeAI to support sensemaking of patient generated health data amongst patients and HCPs. Finally, I focus on the privacy preferences of patient generated health data by designing for dynamic consent while they share their data with HCPs or researchers.en
dc.identifier.doi10.18420/muc2024-mci-dc-183
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44312
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttp://purl.org/eprint/accessRights/RestrictedAccess
dc.rights.urihttp://purl.org/eprint/accessRights/RestrictedAccess
dc.subjectdigital health
dc.subjectpatient generated health data
dc.subjecthealth data interaction
dc.subjecthuman ai interaction
dc.subjectpghd
dc.subjectpgd
dc.titleHuman Centered Approach for Designing Data Enabled Tools: Exploring the potential of patient generated data for CVD Prevention and Rehabilitation.en
dc.typeText/Conference Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI: Doctoral Consortium

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
muc2024-mci-dc-183.pdf
Größe:
410.41 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

Workshopband MuC 2024