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

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

The 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.

Beschreibung

V S Pakianathan, Pavithren (2024): Human Centered Approach for Designing Data Enabled Tools: Exploring the potential of patient generated data for CVD Prevention and Rehabilitation.. Mensch und Computer 2024 - Workshopband. DOI: 10.18420/muc2024-mci-dc-183. Gesellschaft für Informatik e.V.. MCI: Doctoral Consortium. Karlsruhe. 1.-4. September 2024

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