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Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes

BACKGROUND: Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by...

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Autores principales: Kose, Ilker, Rayner, John, Birinci, Suayip, Ulgu, Mustafa Mahir, Yilmaz, Ismayil, Guner, Seyma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580017/
https://www.ncbi.nlm.nih.gov/pubmed/33087106
http://dx.doi.org/10.1186/s12913-020-05767-5
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author Kose, Ilker
Rayner, John
Birinci, Suayip
Ulgu, Mustafa Mahir
Yilmaz, Ismayil
Guner, Seyma
author_facet Kose, Ilker
Rayner, John
Birinci, Suayip
Ulgu, Mustafa Mahir
Yilmaz, Ismayil
Guner, Seyma
author_sort Kose, Ilker
collection PubMed
description BACKGROUND: Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size. METHODS: EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. RESULTS: We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals. CONCLUSION: Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions.
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spelling pubmed-75800172020-10-22 Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes Kose, Ilker Rayner, John Birinci, Suayip Ulgu, Mustafa Mahir Yilmaz, Ismayil Guner, Seyma BMC Health Serv Res Research Article BACKGROUND: Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size. METHODS: EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. RESULTS: We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals. CONCLUSION: Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions. BioMed Central 2020-10-21 /pmc/articles/PMC7580017/ /pubmed/33087106 http://dx.doi.org/10.1186/s12913-020-05767-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kose, Ilker
Rayner, John
Birinci, Suayip
Ulgu, Mustafa Mahir
Yilmaz, Ismayil
Guner, Seyma
Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes
title Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes
title_full Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes
title_fullStr Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes
title_full_unstemmed Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes
title_short Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes
title_sort adoption rates of electronic health records in turkish hospitals and the relation with hospital sizes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580017/
https://www.ncbi.nlm.nih.gov/pubmed/33087106
http://dx.doi.org/10.1186/s12913-020-05767-5
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