Review
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Year 2022, , 63 - 77, 29.12.2022
https://doi.org/10.52675/jhesp.1145218

Abstract

References

  • H. Tozan,. M. A. Karadayı, B. Ö. Yılmaz, B. E. Erol, (2020).Sağlık teknolojisi değerlendirmede çok kriterli karar verme yaklaşımları üzerine bir derleme çalışması. Düzce Üniversitesi Bilim ve Teknol. Derg. c. 8, s. Mcdm, 264–289.
  • Akinsanya, O. O., Papadaki, M., & Sun, L. (2019). Current cybersecurity maturity models: How effective in healthcare cloud? CEUR Workshop Proceedings, 2348, 211–222.
  • Arshad, M., Gruber, M. Y., Wall, K., & Hannoufa, A. (2017). An insight into microRNA156 role in salinity stress responses of alfalfa. Frontiers in Plant Science, 8(March), 1–15.
  • Bah, S. M., Alibrahem, A. B., Alshawi, A. J., Almuslim, H. H., & Aldossary, H. A. (2021). Effects of routinely collected health information system variables on the readmission of patients with type 2 diabetes. Journal of Taibah University Medical Sciences, 16(6), 894–899.
  • Barnes, B., & Daim, T. (2022). Information Security Maturity Model for Healthcare Organizations in the United States. IEEE Transactions on Engineering Management.
  • Carvalho, J. V., Rocha, Á., van de Wetering, R., & Abreu, A. (2019). A Maturity model for hospital information systems. Journal of Business Research, 94(August), 388–399.
  • Carvalho, J. V., Rocha, Á., Vasconcelos, J., & Abreu, A. (2019). A health data analytics maturity model for hospitals information systems. International Journal of Information Management, 46(July), 278–285.
  • Chew, C. K. T., Hogan, H., & Jani, Y. (2021). Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems. BMJ Health and Care Informatics, 28(1), 1–11.
  • Chong, J., Jason, T., Jones, M., & Larsen, D. (2020). A model to measure self-assessed proficiency in electronic medical records: Validation using maturity survey data from Canadian community-based physicians. International Journal of Medical Informatics, 141, 104218.
  • Cravo Oliveira, T., Barrenho, E., Vernet Erkko Autio, A., & Barlow, J. (2017). Küresel Sağlık Hizmetleri İnovasyonu İndeksi Geliştirme-Developing a Global Healthcare Innovation Index PIRU Publication 2017-20. www.piru.ac.uk
  • Denizli, F., & Demirtaş, Ö. (2022). Dijital Hastaneye Dönüşüm Sürecinde Sağlik Çalişanlarinin Teknolojiye Hazir Bulunuşluk Durumlarinin Değerlendirilmesi : Bir Kamu Hastanesi Evaluation Of The Readiness For Technology Of Healthcare Professionals In The Process Of Transformation Into A Digit.
  • Doğan, S. (2021). Dünyada Ve Türkiye ’ De Belgelendirilmiş Dijital Hastaneler Üzerine Bir Araştirma A Research On Digital Hospitals Certified In The World And.
  • Eden, R., Burton-Jones, A., & Donovan, R. (2019). Testing the links from fit to effective use to impact: A digital hospital case. 40th International Conference on Information Systems, ICIS 2019.
  • Ganz, R. A. (2012). The Impact of Health Care Reform on Innovation and New Technology. Gastrointestinal Endoscopy Clinics of North America, 22(1), 109–120.
  • Gluschkoff, K., Kaihlanen, A., Palojoki, S., Laukka, E., Hyppönen, H., Karhe, L., Saranto, K., & Heponiemi, T. (2021). Reporting of health information technology system-related patient safety incidents: The effects of organizational justice. Safety Science, 144(July).
  • Guédria, W., Bouzid, H., Bosh, G., Naudet, Y., & Chen, D. (2012). eHealth interoperability evaluation using a maturity model. Studies in Health Technology and Informatics, 180, 333–337.
  • Harris, M. (2013). Global Diffusion of Healthcare Innovation - World Innovation Summit for Health. Gdhi. https://www.wish.org.qa/research/other-research/global-diffusion-of-healthcare-innovation/ Hasic, F., Beirens, B., & Serral, E. (2022). Maturity Model for IoT Adoption In Hospitals.
  • Ileri, Y. Y. (2016). Implementation Processes of Hospital Information Management Systems: A Field Study in Turkey. Journal of Information and Knowledge Management, 15(3), 1–14.
  • Kouroubali, A., Papastilianou, A., & Katehakis, D. G. (2019). Preliminary assessment of the interoperability maturity of healthcare digital services vs public services of other sectors. Studies in Health Technology and Informatics, 264, 654–658.
  • Lee, Y., & Park, S. (2021). Technology-based practical blockchain system audit maturity model. Tehnicki Vjesnik, 28(2), 576–586.
  • Li, Y. J., Lee, W. S., Chang, Y. L., Chou, Y. C., Chiu, Y. C., & Hsu, C. C. (2022). Impact of a Clinical Decision Support System on Inappropriate Prescription of Glucose-Lowering Agents for Patients With Renal Insufficiency in an Ambulatory Care Setting. Clinical Therapeutics, xxx(xxx).
  • Liaw, S. T., Zhou, R., Ansari, S., & Gao, J. (2021). A digital health profile & maturity assessment toolkit: Cocreation and testing in the Pacific Islands. Journal of the American Medical Informatics Association, 28(3), 494–503.
  • Mertoğlu, S. (2020). Sağlik Çalişanlarinin Hastanelerde Bilişim Teknolojilerine Yönelik Tutumlari Ve Hazirbulunuşluk Seviyelerinin Bireysel Performansina Etkisinin Değerlendirilmesi. 2507(February), 1–9.
  • Mettler, T., & Pinto, R. (2018). Evolutionary paths and influencing factors towards digital maturity: An analysis of the status quo in Swiss hospitals. Technological Forecasting and Social Change, 133(February), 104–117.
  • Nyangena, J., Rajgopal, R., Ombech, E. A., Oloo, E., Luchetu, H., Wambugu, S., Kamau, O., Nzioka, C., Gwer, S., & Ndiritu Ndirangu, M. (2021). Maturity assessment of Kenya’s health information system interoperability readiness. BMJ Health and Care Informatics, 28(1).
  • Pak, J., & Song, Y. T. (2016). Health capability maturity model: Personcentered approach in personal health record system. AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems, 1–10.
  • Salami, F., Bozorgi-Amiri, A., Hassan, G. M., Tavakkoli-Moghaddam, R., & Datta, A. (2022). Designing a clinical decision support system for Alzheimer’s diagnosis on OASIS-3 data set. Biomedical Signal Processing and Control, 74(September 2021), 103527.
  • Shaygan, A., & Daim, T. (2021). Technology management maturity assessment model in healthcare research centers. Technovation, December, 102444.
  • Souza-Pereira, L., Ouhbi, S., & Pombo, N. (2021). A process model for quality in use evaluation of clinical decision support systems. Journal of Biomedical Informatics, 123(May), 103917.
  • Tortorella, G. L., Fogliatto, F. S., Saurin, T. A., Tonetto, L. M., & McFarlane, D. (2022). Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak. Technovation, 111(July 2021), 102379.
  • Yaneva, A. (2021). IMPACT OF DIGITALISATION ON THE ORGANISATION AND MANAGEMENT OF HEALTHCARE IN HEALTH FACILITIES KNOWLEDGE – International Journal. 48, 595–598.
  • Zhang, X., Svec, M., Tracy, R., & Ozanich, G. (2022). Clinical decision support systems with team-based care on type 2 diabetes improvement for Medicaid patients: A quality improvement project. International Journal of Medical Informatics, 158(November 2021), 104626.
  • Zhao, Y., & Canales, J. I. (2021). Never the twain shall meet? Knowledge strategies for digitalization in healthcare. Technological Forecasting and Social Change, 170(June), 120923.
  • Zhila, N., Mohammad, A., Kamran, S., Masoumeh, N. G., & Madineh, K. (2022). A comprehensive presentation of Iran’s human resources for health information systems: A mixed-method case study. Health Policy and Technology, 100637.
  • Zimmermannova, J., Pavlik, L., & Chytilova, E. (2022). Digitalisation in Hospitals in COVID-19 Times—A Case Study of the Czech Republic. Economies, 10(3).

Digital Maturity Assesment Models for Health Systems

Year 2022, , 63 - 77, 29.12.2022
https://doi.org/10.52675/jhesp.1145218

Abstract

With the rapid development of technology in recent years, it is observed that there are agile changes in many sectors. With these changes, technology comes to the focus of our lives and helps to take more solid steps by facilitating processes everywhere. With the evolution of the sectors in this direction, concepts such as e-commerce, e-health and data mining have come to the fore, and many studies have been put forward within the framework of these terms. It has been observed that the digital transformation that has begun to take place in the field of healthcare has led to significant changes in this field. The effects of technological advances, which have begun to integrate into health services, such as increasing work efficiency, increasing service quality and creating a safe service environment have been determined. In this review study, various digitalization studies carried out in the field of health between 2012-2022 were examined and summarized, also, the prominent concepts in the studies were classified. In addition, it is aimed to determine the popular methods that researchers include in their studies and to examine the tools that support the application within the scope of the maturity assessment models. At this point, the study is divided into two main headings: (1) Digitalization in Health, (2) Digital Maturity Assessment Models in Health Systems. As a result of the study, it was aimed to contribute to the existing literature by observing the deficiencies in the literature.

References

  • H. Tozan,. M. A. Karadayı, B. Ö. Yılmaz, B. E. Erol, (2020).Sağlık teknolojisi değerlendirmede çok kriterli karar verme yaklaşımları üzerine bir derleme çalışması. Düzce Üniversitesi Bilim ve Teknol. Derg. c. 8, s. Mcdm, 264–289.
  • Akinsanya, O. O., Papadaki, M., & Sun, L. (2019). Current cybersecurity maturity models: How effective in healthcare cloud? CEUR Workshop Proceedings, 2348, 211–222.
  • Arshad, M., Gruber, M. Y., Wall, K., & Hannoufa, A. (2017). An insight into microRNA156 role in salinity stress responses of alfalfa. Frontiers in Plant Science, 8(March), 1–15.
  • Bah, S. M., Alibrahem, A. B., Alshawi, A. J., Almuslim, H. H., & Aldossary, H. A. (2021). Effects of routinely collected health information system variables on the readmission of patients with type 2 diabetes. Journal of Taibah University Medical Sciences, 16(6), 894–899.
  • Barnes, B., & Daim, T. (2022). Information Security Maturity Model for Healthcare Organizations in the United States. IEEE Transactions on Engineering Management.
  • Carvalho, J. V., Rocha, Á., van de Wetering, R., & Abreu, A. (2019). A Maturity model for hospital information systems. Journal of Business Research, 94(August), 388–399.
  • Carvalho, J. V., Rocha, Á., Vasconcelos, J., & Abreu, A. (2019). A health data analytics maturity model for hospitals information systems. International Journal of Information Management, 46(July), 278–285.
  • Chew, C. K. T., Hogan, H., & Jani, Y. (2021). Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems. BMJ Health and Care Informatics, 28(1), 1–11.
  • Chong, J., Jason, T., Jones, M., & Larsen, D. (2020). A model to measure self-assessed proficiency in electronic medical records: Validation using maturity survey data from Canadian community-based physicians. International Journal of Medical Informatics, 141, 104218.
  • Cravo Oliveira, T., Barrenho, E., Vernet Erkko Autio, A., & Barlow, J. (2017). Küresel Sağlık Hizmetleri İnovasyonu İndeksi Geliştirme-Developing a Global Healthcare Innovation Index PIRU Publication 2017-20. www.piru.ac.uk
  • Denizli, F., & Demirtaş, Ö. (2022). Dijital Hastaneye Dönüşüm Sürecinde Sağlik Çalişanlarinin Teknolojiye Hazir Bulunuşluk Durumlarinin Değerlendirilmesi : Bir Kamu Hastanesi Evaluation Of The Readiness For Technology Of Healthcare Professionals In The Process Of Transformation Into A Digit.
  • Doğan, S. (2021). Dünyada Ve Türkiye ’ De Belgelendirilmiş Dijital Hastaneler Üzerine Bir Araştirma A Research On Digital Hospitals Certified In The World And.
  • Eden, R., Burton-Jones, A., & Donovan, R. (2019). Testing the links from fit to effective use to impact: A digital hospital case. 40th International Conference on Information Systems, ICIS 2019.
  • Ganz, R. A. (2012). The Impact of Health Care Reform on Innovation and New Technology. Gastrointestinal Endoscopy Clinics of North America, 22(1), 109–120.
  • Gluschkoff, K., Kaihlanen, A., Palojoki, S., Laukka, E., Hyppönen, H., Karhe, L., Saranto, K., & Heponiemi, T. (2021). Reporting of health information technology system-related patient safety incidents: The effects of organizational justice. Safety Science, 144(July).
  • Guédria, W., Bouzid, H., Bosh, G., Naudet, Y., & Chen, D. (2012). eHealth interoperability evaluation using a maturity model. Studies in Health Technology and Informatics, 180, 333–337.
  • Harris, M. (2013). Global Diffusion of Healthcare Innovation - World Innovation Summit for Health. Gdhi. https://www.wish.org.qa/research/other-research/global-diffusion-of-healthcare-innovation/ Hasic, F., Beirens, B., & Serral, E. (2022). Maturity Model for IoT Adoption In Hospitals.
  • Ileri, Y. Y. (2016). Implementation Processes of Hospital Information Management Systems: A Field Study in Turkey. Journal of Information and Knowledge Management, 15(3), 1–14.
  • Kouroubali, A., Papastilianou, A., & Katehakis, D. G. (2019). Preliminary assessment of the interoperability maturity of healthcare digital services vs public services of other sectors. Studies in Health Technology and Informatics, 264, 654–658.
  • Lee, Y., & Park, S. (2021). Technology-based practical blockchain system audit maturity model. Tehnicki Vjesnik, 28(2), 576–586.
  • Li, Y. J., Lee, W. S., Chang, Y. L., Chou, Y. C., Chiu, Y. C., & Hsu, C. C. (2022). Impact of a Clinical Decision Support System on Inappropriate Prescription of Glucose-Lowering Agents for Patients With Renal Insufficiency in an Ambulatory Care Setting. Clinical Therapeutics, xxx(xxx).
  • Liaw, S. T., Zhou, R., Ansari, S., & Gao, J. (2021). A digital health profile & maturity assessment toolkit: Cocreation and testing in the Pacific Islands. Journal of the American Medical Informatics Association, 28(3), 494–503.
  • Mertoğlu, S. (2020). Sağlik Çalişanlarinin Hastanelerde Bilişim Teknolojilerine Yönelik Tutumlari Ve Hazirbulunuşluk Seviyelerinin Bireysel Performansina Etkisinin Değerlendirilmesi. 2507(February), 1–9.
  • Mettler, T., & Pinto, R. (2018). Evolutionary paths and influencing factors towards digital maturity: An analysis of the status quo in Swiss hospitals. Technological Forecasting and Social Change, 133(February), 104–117.
  • Nyangena, J., Rajgopal, R., Ombech, E. A., Oloo, E., Luchetu, H., Wambugu, S., Kamau, O., Nzioka, C., Gwer, S., & Ndiritu Ndirangu, M. (2021). Maturity assessment of Kenya’s health information system interoperability readiness. BMJ Health and Care Informatics, 28(1).
  • Pak, J., & Song, Y. T. (2016). Health capability maturity model: Personcentered approach in personal health record system. AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems, 1–10.
  • Salami, F., Bozorgi-Amiri, A., Hassan, G. M., Tavakkoli-Moghaddam, R., & Datta, A. (2022). Designing a clinical decision support system for Alzheimer’s diagnosis on OASIS-3 data set. Biomedical Signal Processing and Control, 74(September 2021), 103527.
  • Shaygan, A., & Daim, T. (2021). Technology management maturity assessment model in healthcare research centers. Technovation, December, 102444.
  • Souza-Pereira, L., Ouhbi, S., & Pombo, N. (2021). A process model for quality in use evaluation of clinical decision support systems. Journal of Biomedical Informatics, 123(May), 103917.
  • Tortorella, G. L., Fogliatto, F. S., Saurin, T. A., Tonetto, L. M., & McFarlane, D. (2022). Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak. Technovation, 111(July 2021), 102379.
  • Yaneva, A. (2021). IMPACT OF DIGITALISATION ON THE ORGANISATION AND MANAGEMENT OF HEALTHCARE IN HEALTH FACILITIES KNOWLEDGE – International Journal. 48, 595–598.
  • Zhang, X., Svec, M., Tracy, R., & Ozanich, G. (2022). Clinical decision support systems with team-based care on type 2 diabetes improvement for Medicaid patients: A quality improvement project. International Journal of Medical Informatics, 158(November 2021), 104626.
  • Zhao, Y., & Canales, J. I. (2021). Never the twain shall meet? Knowledge strategies for digitalization in healthcare. Technological Forecasting and Social Change, 170(June), 120923.
  • Zhila, N., Mohammad, A., Kamran, S., Masoumeh, N. G., & Madineh, K. (2022). A comprehensive presentation of Iran’s human resources for health information systems: A mixed-method case study. Health Policy and Technology, 100637.
  • Zimmermannova, J., Pavlik, L., & Chytilova, E. (2022). Digitalisation in Hospitals in COVID-19 Times—A Case Study of the Czech Republic. Economies, 10(3).
There are 35 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Review Articles
Authors

Lütviye Özge Polatlı 0000-0001-7118-5370

Elif Delice 0000-0002-0238-623X

Hakan Tozan 0000-0002-0479-6937

Alper Erturk 0000-0002-8529-0806

Publication Date December 29, 2022
Published in Issue Year 2022

Cite

APA Polatlı, L. Ö., Delice, E., Tozan, H., Erturk, A. (2022). Digital Maturity Assesment Models for Health Systems. Journal of Health Systems and Policies, 4(2), 63-77. https://doi.org/10.52675/jhesp.1145218

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Contents of the Journal of Health Systems and Policies (JHESP) is licensed under a Creative Commons Attribution 4.0 International License.