To trust or not to trust: Introduction to the Patient-Generated Health Data trust canvas
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🗓️ Date: 19 September 2024
🕒 Time: 11:00 – 12:00 CET
What is this session about?
The PGHD Trust Canvas is a tool designed to help clinicians evaluate the trustworthiness of Patient-Generated Health Data (PGHD) for use in clinical decision-making. Drawing inspiration from established models like the Business Model Canvas, the Ethics Canvas, and the Trust Canvas, this tool offers a structured approach for clinicians to assess and decide upon the trustworthiness of PGHD systematically. It incorporates various factors such as data quality, provenance, and associated risks, allowing clinicians to reflect coherently and systematically on the reliability of PGHD. By using the PGHD trust canvas, participants can thoughtfully make better decisions whether to trust or distrust PGHD presented by their patients.
What will you learn?
- Participants will become familiar with the PGHD trust canvas, having applied it to realistic scenarios.
- Participants will learn to systematically evaluate the trustworthiness of Patient-Generated Health Data (PGHD), improving their ability to make clinical decisions based on thoughtfully selected data.
Who’s this session for?
- Clinicians
- PGHD developers
Mainly, the training is targeted at clinicians in contact with patients. However, developers of PGHD-generating technologies might benefit from the sessions, since it could provide them with an insight of the thought process of the clinician when they are making the decision whether to trust or distrust
Meet your Trainer(s):
Alfredo Ormazabal, PhD Student at ADAPT Centre for Research Training
Alfredo Ormazabal, a PhD student at Trinity College Dublin, researches the trustworthiness of Patient Generated Health Data (PGHD) for clinical use. With a master’s in health informatics and a bachelor’s in business information systems, Alfredo develops tools to help clinicians assess PGHD, considering factors like mHealth apps and patient journals. He has taught programming and information management, mentored MSc students, and contributed to research at the National Ambulance Service College. His work was presented at IEEE CBMS 2023 and 2024, highlighting his PGHD Trust canvas. Alfredo’s dedication to digital health research aligns with the Digital Health Uptake program, aiming for the safe integration of patient data into healthcare.