Understanding Mental Health Clinicians' Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study.
Jodie NghiemDaniel A AdlerDeborah EstrinCecilia LiveseyTanzeem ChoudhuryPublished in: JMIR formative research (2023)
Although passive PGHD has the potential to enable more contextualized measurement, this study highlights the need for building and disseminating an evidence base describing how and when passive measures should be used for clinical decision-making. This evidence base should clarify how to use passive data alongside more traditional forms of active PGHD, when clinicians should view passive PGHD to make treatment decisions, and how to protect patient privacy within passive data-sharing programs. Clear evidence would more effectively support the uptake and effective use of these novel tools for both patients and their clinicians.
Keyphrases
- mental health
- decision making
- big data
- healthcare
- electronic health record
- palliative care
- health information
- public health
- end stage renal disease
- case report
- newly diagnosed
- chronic kidney disease
- primary care
- ejection fraction
- social media
- prognostic factors
- human health
- climate change
- deep learning
- smoking cessation