Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study)
<i>Background:</i> The Telemechron project addresses critical needs in telemedicine by evaluating technology assessment frameworks and key performance indicators (KPIs), among other objectives. Effective frameworks and KPIs are crucial for assessing telemedicine services, especially in t...
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MDPI AG
2025-01-01
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| author | Sara Jayousi Martina Cinelli Roberto Bigazzi Stefano Bianchi Simonetta Scalvini Gabriella Borghi Palmira Bernocchi Sandro Inchiostro Alexia Giovanazzi Marina Mastellaro Maria Adalgisa Gentilini Lorenzo Gios Mauro Grigioni Carla Daniele Giuseppe D’Avenio Sandra Morelli Daniele Giansanti |
| author_facet | Sara Jayousi Martina Cinelli Roberto Bigazzi Stefano Bianchi Simonetta Scalvini Gabriella Borghi Palmira Bernocchi Sandro Inchiostro Alexia Giovanazzi Marina Mastellaro Maria Adalgisa Gentilini Lorenzo Gios Mauro Grigioni Carla Daniele Giuseppe D’Avenio Sandra Morelli Daniele Giansanti |
| author_sort | Sara Jayousi |
| collection | DOAJ |
| description | <i>Background:</i> The Telemechron project addresses critical needs in telemedicine by evaluating technology assessment frameworks and key performance indicators (KPIs), among other objectives. Effective frameworks and KPIs are crucial for assessing telemedicine services, especially in terms of their impact on patient outcomes and service efficiency. <i>Methods:</i> This study adopted a dual approach to assess the contributions of the Telemechron project. Firstly, it applied a technology assessment framework to quantitatively evaluate telemedicine services, focusing on measurable improvements and systematic analysis. Secondly, it investigated a set of predefined KPIs using specific metrics and parameters to evaluate their applicability and limitations in telemedicine settings. <i>Results and Discussion:</i> The technology assessment framework demonstrated significant utility by providing structured, quantifiable improvements across key aspects of telemedicine services. It was effective in evaluating the alignment of services with strategic goals and their integration with existing healthcare systems. The predefined KPIs, although not developed within this study and not directly used by the different operational units (OUs)—which established their own context-specific KPIs—still provided valuable insights into telemedicine performance. However, the study revealed that these KPIs highlighted a need for further customization to enhance their relevance across various contexts. While the KPIs may offer useful performance indicators, their general applicability necessitated adjustments to better address the specific needs of telemedicine applications. The analysis model for the KPI set, in terms of metrics and parameters, is exportable and generalizable to other national and international telemedicine contexts. <i>Conclusions:</i> The study confirms the effectiveness of the framework in delivering measurable improvements in telemedicine services and underscores the importance of adapting KPIs for specific contexts. Future research should focus on further applying and expanding the framework and metrics, refining KPI models, integrating new technologies, and conducting cross-national comparisons to enhance the applicability and effectiveness of telemedicine evaluations. |
| format | Article |
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| institution | DOAJ |
| issn | 2227-7080 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-02ef7dcfb34a4d1796da98ef5d4c55e62025-08-20T02:45:30ZengMDPI AGTechnologies2227-70802025-01-011324410.3390/technologies13020044Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study)Sara Jayousi0Martina Cinelli1Roberto Bigazzi2Stefano Bianchi3Simonetta Scalvini4Gabriella Borghi5Palmira Bernocchi6Sandro Inchiostro7Alexia Giovanazzi8Marina Mastellaro9Maria Adalgisa Gentilini10Lorenzo Gios11Mauro Grigioni12Carla Daniele13Giuseppe D’Avenio14Sandra Morelli15Daniele Giansanti16Local Health Unit, Division of Nephrology and Dialysis, Azienda USL Toscana Nord Ovest, 57124 Livorno, ItalyLocal Health Unit, Division of Nephrology and Dialysis, Azienda USL Toscana Nord Ovest, 57124 Livorno, ItalyLocal Health Unit, Division of Nephrology and Dialysis, Azienda USL Toscana Nord Ovest, 57124 Livorno, ItalyLocal Health Unit, Division of Nephrology and Dialysis, Azienda USL Toscana Nord Ovest, 57124 Livorno, ItalyContinuity of Care Service, Istituti Clinici Scientifici Maugeri IRCCS, Institute of Lumezzane, 25065 Brescia, ItalyContinuity of Care Service, Istituti Clinici Scientifici Maugeri IRCCS, Institute of Lumezzane, 25065 Brescia, ItalyContinuity of Care Service, Istituti Clinici Scientifici Maugeri IRCCS, Institute of Lumezzane, 25065 Brescia, ItalyAzienda Provinciale per i Servizi Sanitari, Provincia Autonoma di Trento, 38122 Trento, ItalyAzienda Provinciale per i Servizi Sanitari, Provincia Autonoma di Trento, 38122 Trento, ItalyAzienda Provinciale per i Servizi Sanitari, Provincia Autonoma di Trento, 38122 Trento, ItalyAzienda Provinciale per i Servizi Sanitari, Provincia Autonoma di Trento, 38122 Trento, ItalyTrentino Salute 4.0, Competence Center for Digital Health, 38123 Trento, ItalyCentro Nazionale Tecnologie Innovative in Sanità Pubblica, Istituto Superiore di Sanità, 00161 Rome, ItalyCentro Nazionale Tecnologie Innovative in Sanità Pubblica, Istituto Superiore di Sanità, 00161 Rome, ItalyCentro Nazionale Tecnologie Innovative in Sanità Pubblica, Istituto Superiore di Sanità, 00161 Rome, ItalyCentro Nazionale Tecnologie Innovative in Sanità Pubblica, Istituto Superiore di Sanità, 00161 Rome, ItalyCentro Nazionale Tecnologie Innovative in Sanità Pubblica, Istituto Superiore di Sanità, 00161 Rome, Italy<i>Background:</i> The Telemechron project addresses critical needs in telemedicine by evaluating technology assessment frameworks and key performance indicators (KPIs), among other objectives. Effective frameworks and KPIs are crucial for assessing telemedicine services, especially in terms of their impact on patient outcomes and service efficiency. <i>Methods:</i> This study adopted a dual approach to assess the contributions of the Telemechron project. Firstly, it applied a technology assessment framework to quantitatively evaluate telemedicine services, focusing on measurable improvements and systematic analysis. Secondly, it investigated a set of predefined KPIs using specific metrics and parameters to evaluate their applicability and limitations in telemedicine settings. <i>Results and Discussion:</i> The technology assessment framework demonstrated significant utility by providing structured, quantifiable improvements across key aspects of telemedicine services. It was effective in evaluating the alignment of services with strategic goals and their integration with existing healthcare systems. The predefined KPIs, although not developed within this study and not directly used by the different operational units (OUs)—which established their own context-specific KPIs—still provided valuable insights into telemedicine performance. However, the study revealed that these KPIs highlighted a need for further customization to enhance their relevance across various contexts. While the KPIs may offer useful performance indicators, their general applicability necessitated adjustments to better address the specific needs of telemedicine applications. The analysis model for the KPI set, in terms of metrics and parameters, is exportable and generalizable to other national and international telemedicine contexts. <i>Conclusions:</i> The study confirms the effectiveness of the framework in delivering measurable improvements in telemedicine services and underscores the importance of adapting KPIs for specific contexts. Future research should focus on further applying and expanding the framework and metrics, refining KPI models, integrating new technologies, and conducting cross-national comparisons to enhance the applicability and effectiveness of telemedicine evaluations.https://www.mdpi.com/2227-7080/13/2/44telemedicineTeleHealthdigital healthtechnology assessmentKPIkey performance indicator |
| spellingShingle | Sara Jayousi Martina Cinelli Roberto Bigazzi Stefano Bianchi Simonetta Scalvini Gabriella Borghi Palmira Bernocchi Sandro Inchiostro Alexia Giovanazzi Marina Mastellaro Maria Adalgisa Gentilini Lorenzo Gios Mauro Grigioni Carla Daniele Giuseppe D’Avenio Sandra Morelli Daniele Giansanti Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study) Technologies telemedicine TeleHealth digital health technology assessment KPI key performance indicator |
| title | Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study) |
| title_full | Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study) |
| title_fullStr | Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study) |
| title_full_unstemmed | Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study) |
| title_short | Transforming Telemedicine: Strategic Lessons and Metrics from Italy’s Telemechron Project (Telemechron Study) |
| title_sort | transforming telemedicine strategic lessons and metrics from italy s telemechron project telemechron study |
| topic | telemedicine TeleHealth digital health technology assessment KPI key performance indicator |
| url | https://www.mdpi.com/2227-7080/13/2/44 |
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