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Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring

The COVID-19 pandemic exposed the need to more effectively harness and leverage digital tools and technology for remote patient monitoring (RPM). RPM gained great popularity given the need to provide effective, safe, efficient, and remote patient care. RPM is based on noninvasive digital technologie...

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Autores principales: Parretti, Chiara, Tartaglia, Riccardo, La Regina, Micaela, Venneri, Francesco, Sbrana, Giovanni, Mandò, Massimo, Barach, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622365/
https://www.ncbi.nlm.nih.gov/pubmed/36250651
http://dx.doi.org/10.1097/JMQ.0000000000000089
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author Parretti, Chiara
Tartaglia, Riccardo
La Regina, Micaela
Venneri, Francesco
Sbrana, Giovanni
Mandò, Massimo
Barach, Paul
author_facet Parretti, Chiara
Tartaglia, Riccardo
La Regina, Micaela
Venneri, Francesco
Sbrana, Giovanni
Mandò, Massimo
Barach, Paul
author_sort Parretti, Chiara
collection PubMed
description The COVID-19 pandemic exposed the need to more effectively harness and leverage digital tools and technology for remote patient monitoring (RPM). RPM gained great popularity given the need to provide effective, safe, efficient, and remote patient care. RPM is based on noninvasive digital technologies aimed at improving the safety and efficiency of health care delivery. We report on an RPM program in which 200 COVID-19 patients were followed remotely to evaluate the effectiveness in treating and monitoring patients in home settings. We analyzed the inherent risks using mixed methods, including failure mode and effect analysis, a prospective, team-based risk management methodology structured to identify high-risk process system failures before they occur in telemonitoring of remote patients. The RPM saved lives and improved decision-making during the pandemic and helped prevent the health system’s collapse. The failure mode and effect analysis-based assessment offers important insights and considerations for evaluating future RPM implementation and direction. RPM solutions are technically feasible, staff friendly, and can achieve high adherence rates. Rigorous and ongoing evaluation of devices and platforms is essential to clarifying their value and guiding national health and insurance health coverage decisions and adoption programs.
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spelling pubmed-96223652022-11-04 Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring Parretti, Chiara Tartaglia, Riccardo La Regina, Micaela Venneri, Francesco Sbrana, Giovanni Mandò, Massimo Barach, Paul Am J Med Qual Article The COVID-19 pandemic exposed the need to more effectively harness and leverage digital tools and technology for remote patient monitoring (RPM). RPM gained great popularity given the need to provide effective, safe, efficient, and remote patient care. RPM is based on noninvasive digital technologies aimed at improving the safety and efficiency of health care delivery. We report on an RPM program in which 200 COVID-19 patients were followed remotely to evaluate the effectiveness in treating and monitoring patients in home settings. We analyzed the inherent risks using mixed methods, including failure mode and effect analysis, a prospective, team-based risk management methodology structured to identify high-risk process system failures before they occur in telemonitoring of remote patients. The RPM saved lives and improved decision-making during the pandemic and helped prevent the health system’s collapse. The failure mode and effect analysis-based assessment offers important insights and considerations for evaluating future RPM implementation and direction. RPM solutions are technically feasible, staff friendly, and can achieve high adherence rates. Rigorous and ongoing evaluation of devices and platforms is essential to clarifying their value and guiding national health and insurance health coverage decisions and adoption programs. Lippincott Williams & Wilkins 2022-10-18 2022 /pmc/articles/PMC9622365/ /pubmed/36250651 http://dx.doi.org/10.1097/JMQ.0000000000000089 Text en © 2022 the American College of Medical Quality This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Article
Parretti, Chiara
Tartaglia, Riccardo
La Regina, Micaela
Venneri, Francesco
Sbrana, Giovanni
Mandò, Massimo
Barach, Paul
Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring
title Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring
title_full Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring
title_fullStr Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring
title_full_unstemmed Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring
title_short Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring
title_sort improved fmea methods for proactive health care risk assessment of the effectiveness and efficiency of covid-19 remote patient telemonitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622365/
https://www.ncbi.nlm.nih.gov/pubmed/36250651
http://dx.doi.org/10.1097/JMQ.0000000000000089
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