A Nationwide Chronic Disease Management Solution via Clinical Decision Support Services : Software Development and Real-Life Implementation Report
©Mustafa Mahir Ulgu, Gokce Banu Laleci Erturkmen, Mustafa Yuksel, Tuncay Namli, Şenan Postacı, Mert Gencturk, Yildiray Kabak, A Anil Sinaci, Suat Gonul, Asuman Dogac, Zübeyde Özkan Altunay, Banu Ekinci, Sahin Aydin, Suayip Birinci. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 19.01.2024..
BACKGROUND: The increasing population of older adults has led to a rise in the demand for health care services, with chronic diseases being a major burden. Person-centered integrated care is required to address these challenges; hence, the Turkish Ministry of Health has initiated strategies to implement an integrated health care model for chronic disease management. We aim to present the design, development, nationwide implementation, and initial performance results of the national Disease Management Platform (DMP).
OBJECTIVE: This paper's objective is to present the design decisions taken and technical solutions provided to ensure successful nationwide implementation by addressing several challenges, including interoperability with existing IT systems, integration with clinical workflow, enabling transition of care, ease of use by health care professionals, scalability, high performance, and adaptability.
METHODS: The DMP is implemented as an integrated care solution that heavily uses clinical decision support services to coordinate effective screening and management of chronic diseases in adherence to evidence-based clinical guidelines and, hence, to increase the quality of health care delivery. The DMP is designed and implemented to be easily integrated with the existing regional and national health IT systems via conformance to international health IT standards, such as Health Level Seven Fast Healthcare Interoperability Resources. A repeatable cocreation strategy has been used to design and develop new disease modules to ensure extensibility while ensuring ease of use and seamless integration into the regular clinical workflow during patient encounters. The DMP is horizontally scalable in case of high load to ensure high performance.
RESULTS: As of September 2023, the DMP has been used by 25,568 health professionals to perform 73,715,269 encounters for 16,058,904 unique citizens. It has been used to screen and monitor chronic diseases such as obesity, cardiovascular risk, diabetes, and hypertension, resulting in the diagnosis of 3,545,573 patients with obesity, 534,423 patients with high cardiovascular risk, 490,346 patients with diabetes, and 144,768 patients with hypertension.
CONCLUSIONS: It has been demonstrated that the platform can scale horizontally and efficiently provides services to thousands of family medicine practitioners without performance problems. The system seamlessly interoperates with existing health IT solutions and runs as a part of the clinical workflow of physicians at the point of care. By automatically accessing and processing patient data from various sources to provide personalized care plan guidance, it maximizes the effect of evidence-based decision support services by seamless integration with point-of-care electronic health record systems. As the system is built on international code systems and standards, adaptation and deployment to additional regional and national settings become easily possible. The nationwide DMP as an integrated care solution has been operational since January 2020, coordinating effective screening and management of chronic diseases in adherence to evidence-based clinical guidelines.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
JMIR medical informatics - 12(2024) vom: 19. Jan., Seite e49986 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ulgu, Mustafa Mahir [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 05.02.2024 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.2196/49986 |
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| Förderinstitution / Projekttitel: |
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NLM367315688 |
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| 245 | 1 | 2 | |a A Nationwide Chronic Disease Management Solution via Clinical Decision Support Services |b Software Development and Real-Life Implementation Report |
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| 520 | |a ©Mustafa Mahir Ulgu, Gokce Banu Laleci Erturkmen, Mustafa Yuksel, Tuncay Namli, Şenan Postacı, Mert Gencturk, Yildiray Kabak, A Anil Sinaci, Suat Gonul, Asuman Dogac, Zübeyde Özkan Altunay, Banu Ekinci, Sahin Aydin, Suayip Birinci. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 19.01.2024. | ||
| 520 | |a BACKGROUND: The increasing population of older adults has led to a rise in the demand for health care services, with chronic diseases being a major burden. Person-centered integrated care is required to address these challenges; hence, the Turkish Ministry of Health has initiated strategies to implement an integrated health care model for chronic disease management. We aim to present the design, development, nationwide implementation, and initial performance results of the national Disease Management Platform (DMP) | ||
| 520 | |a OBJECTIVE: This paper's objective is to present the design decisions taken and technical solutions provided to ensure successful nationwide implementation by addressing several challenges, including interoperability with existing IT systems, integration with clinical workflow, enabling transition of care, ease of use by health care professionals, scalability, high performance, and adaptability | ||
| 520 | |a METHODS: The DMP is implemented as an integrated care solution that heavily uses clinical decision support services to coordinate effective screening and management of chronic diseases in adherence to evidence-based clinical guidelines and, hence, to increase the quality of health care delivery. The DMP is designed and implemented to be easily integrated with the existing regional and national health IT systems via conformance to international health IT standards, such as Health Level Seven Fast Healthcare Interoperability Resources. A repeatable cocreation strategy has been used to design and develop new disease modules to ensure extensibility while ensuring ease of use and seamless integration into the regular clinical workflow during patient encounters. The DMP is horizontally scalable in case of high load to ensure high performance | ||
| 520 | |a RESULTS: As of September 2023, the DMP has been used by 25,568 health professionals to perform 73,715,269 encounters for 16,058,904 unique citizens. It has been used to screen and monitor chronic diseases such as obesity, cardiovascular risk, diabetes, and hypertension, resulting in the diagnosis of 3,545,573 patients with obesity, 534,423 patients with high cardiovascular risk, 490,346 patients with diabetes, and 144,768 patients with hypertension | ||
| 520 | |a CONCLUSIONS: It has been demonstrated that the platform can scale horizontally and efficiently provides services to thousands of family medicine practitioners without performance problems. The system seamlessly interoperates with existing health IT solutions and runs as a part of the clinical workflow of physicians at the point of care. By automatically accessing and processing patient data from various sources to provide personalized care plan guidance, it maximizes the effect of evidence-based decision support services by seamless integration with point-of-care electronic health record systems. As the system is built on international code systems and standards, adaptation and deployment to additional regional and national settings become easily possible. The nationwide DMP as an integrated care solution has been operational since January 2020, coordinating effective screening and management of chronic diseases in adherence to evidence-based clinical guidelines | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Laleci Erturkmen, Gokce Banu |e verfasserin |4 aut | |
| 700 | 1 | |a Yuksel, Mustafa |e verfasserin |4 aut | |
| 700 | 1 | |a Namli, Tuncay |e verfasserin |4 aut | |
| 700 | 1 | |a Postacı, Şenan |e verfasserin |4 aut | |
| 700 | 1 | |a Gencturk, Mert |e verfasserin |4 aut | |
| 700 | 1 | |a Kabak, Yildiray |e verfasserin |4 aut | |
| 700 | 1 | |a Sinaci, A Anil |e verfasserin |4 aut | |
| 700 | 1 | |a Gonul, Suat |e verfasserin |4 aut | |
| 700 | 1 | |a Dogac, Asuman |e verfasserin |4 aut | |
| 700 | 1 | |a Özkan Altunay, Zübeyde |e verfasserin |4 aut | |
| 700 | 1 | |a Ekinci, Banu |e verfasserin |4 aut | |
| 700 | 1 | |a Aydin, Sahin |e verfasserin |4 aut | |
| 700 | 1 | |a Birinci, Suayip |e verfasserin |4 aut | |
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