Miranda Skurla , Sara Gerke , Weronika Pasciak , Ipsit Vahia , Carmel Shachar
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引用次数: 0
Abstract
Introduction
Digital phenotyping is quickly gaining traction and more widespread availability. This emerging technology has the potential for collecting large amounts of precise, temporal patient data, ultimately leading to enhanced monitoring, detection, and personalization of healthcare. However, this firehose of data generated by digital phenotyping may create a dilemma for clinicians already inundated with information.
Methods
In this study, we consider the potential risks if actionable data are missed. We provide an overview of the current legal framework for clinician liability and extrapolate its use in digital phenotyping.
Results
With no established best practices in digital phenotyping, we recommend that clinicians create a written notice for each patient that details how the data will be collected and monitored, as well as consider sharing the raw data with the patient when appropriate.
Conclusions
Guidelines for digital phenotyping must be developed now to get ahead of the eventual widespread use of digital phenotyping technology in clinical care. A proactive declaration of best practices will help guide the development of an evidence-driven and ethically sound standard of care for using digital phenotyping in clinical mental health practice and the information that should be provided to patients.
期刊介绍:
The American Journal of Geriatric Psychiatry is the leading source of information in the rapidly evolving field of geriatric psychiatry. This esteemed journal features peer-reviewed articles covering topics such as the diagnosis and classification of psychiatric disorders in older adults, epidemiological and biological correlates of mental health in the elderly, and psychopharmacology and other somatic treatments. Published twelve times a year, the journal serves as an authoritative resource for professionals in the field.