Integration of Remote Patient Monitoring Systems into Physicians Work in Underserved Communities: Survey of Healthcare Provider Perspectives

• URL: http://arxiv.org/abs/2207.01489v1
• Date: Tue, 14 Jun 2022 09:00:08 GMT
• Title: Integration of Remote Patient Monitoring Systems into Physicians Work in Underserved Communities: Survey of Healthcare Provider Perspectives
• Authors: Samuel Bonet Olivencia, Karim Zahed, Farzan Sasangohar, Rotem Davir, Arnold Vedlitz
• Abstract summary: Remote patient monitoring technologies have been identified as a viable alternative to improve access to care in underserved communities. This study elicits perspectives from stakeholders about barriers and facilitators in the adoption and integration of RPM into clinical in underserved areas. Further research is needed to identify methods to address such concerns and use information collected in this study to develop protocols for RPM integration into clinical workflow.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Remote patient monitoring (RPM) technologies have been identified as a viable alternative to improve access to care in underserved communities. Successful RPM platforms are designed and implemented for seamless integration into healthcare providers work to increase adoption and availability for offering remote care. A quantitative survey was designed and administered to elicit perspectives from a wide range of stakeholders, including healthcare providers and healthcare administrators, about barriers and facilitators in the adoption and integration of RPM into clinical workflows in underserved areas. Ease of adoption, workflow disruption, changes in the patient-physician relationship, and costs and financial benefits are identified as relevant factors that influence the widespread use of RPM by healthcare providers; significant communication and other implementation preferences also emerged. Further research is needed to identify methods to address such concerns and use information collected in this study to develop protocols for RPM integration into clinical workflow.

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