Accepted for/Published in: JMIR Human Factors
Date Submitted: Dec 18, 2022
Open Peer Review Period: Dec 18, 2022 - Jan 1, 2023
Date Accepted: Apr 15, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Human-Computer Interaction Challenges and Considerations in the Implementation of Remote Patient Monitoring: A Multi-method Qualitative Study
ABSTRACT
Background:
Remote patient monitoring (RPM) technologies can support patients living with chronic conditions through self-monitoring of physiological measures and enhance clinicians’ diagnostic and treatment decisions. However, to date scaled RPM implementation within health systems has been limited, and understanding of the impacts of RPM technologies on health information technology infrastructure design and workflows is lacking.
Objective:
In this study, we evaluate the early implementation of a large-scale RPM initiative within the ambulatory network of an academic medical center in New York City, focusing on human-computer interaction (HCI) impacts and challenges.
Methods:
Utilizing a multi-method qualitative approach, we conducted 1) interviews with 13 clinicians across 9 specialties considered “early adopters” and supporters of RPM, and 2) speculative design sessions exploring the future of RPM in clinical care with 21 patients and patient-representatives.
Results:
We identified themes related to HCI considerations for RPM within the following areas: (1) data collection and practices, including impacts of taking real-world measures and issues of data sharing, security, and privacy; (2) proactive and preventive care, including proactive and preventing monitoring, and proactive interventions and support; and (3) health disparities and equity, including tailored and flexible care, and implicit bias. We also identified evidence for mitigation and support to address challenges in each of these areas.
Conclusions:
This study highlights the unique contexts and human-computer interaction concerns regarding the implementation of RPM in clinical practice and its potential implications for clinical workflows and work experiences. Based on these findings, we offer design recommendations for health systems interested in deploying RPM-enabled healthcare. Clinical Trial: N/a
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.