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Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework

BACKGROUND: While various quantitative studies based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Models (TAM) exist in the general medical sectors, just a few have been conducted in the behavioral sector; they have all been qualitative interview-based...

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Autores principales: Yoo, Sooyoung, Lim, Kahyun, Jung, Se Young, Lee, Keehyuck, Lee, Donghyun, Kim, Seok, Lee, Ho-Young, Hwang, Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361668/
https://www.ncbi.nlm.nih.gov/pubmed/35941636
http://dx.doi.org/10.1186/s12911-022-01959-7
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author Yoo, Sooyoung
Lim, Kahyun
Jung, Se Young
Lee, Keehyuck
Lee, Donghyun
Kim, Seok
Lee, Ho-Young
Hwang, Hee
author_facet Yoo, Sooyoung
Lim, Kahyun
Jung, Se Young
Lee, Keehyuck
Lee, Donghyun
Kim, Seok
Lee, Ho-Young
Hwang, Hee
author_sort Yoo, Sooyoung
collection PubMed
description BACKGROUND: While various quantitative studies based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Models (TAM) exist in the general medical sectors, just a few have been conducted in the behavioral sector; they have all been qualitative interview-based studies. OBJECTIVE: The purpose of this study is to assess the adoption dimensions of a behavioral electronic health record (EHR) system for behavioral clinical professionals using a modified clinical adoption (CA) research model that incorporates a variety of micro, meso, and macro level factors. METHODS: A questionnaire survey with quantitative analysis approach was used via purposive sampling method. We modified the existing CA framework to be suitable for evaluating the adoption of an EHR system by behavioral clinical professionals. We designed and verified questionnaires that fit into the dimensions of the CA framework. The survey was performed in five US behavioral hospitals, and the adoption factors were analyzed using a structural equation analysis. RESULTS: We derived a total of seven dimensions, omitting those determined to be unsuitable for behavioral clinical specialists to respond to. We polled 409 behavioral clinical experts from five hospitals. As a result, the ease of use and organizational support had a substantial impact on the use of the behavioral EHR system. Although the findings were not statistically significant, information and service quality did appear to have an effect on the system's ease of use. The primary reported benefit of behavioral EHR system adoption was the capacity to swiftly locate information, work efficiently, and access patient information via a mobile app, which resulted in more time for better care. The primary downside, on the other hand, was an unhealthy reliance on the EHR system. CONCLUSIONS: We demonstrated in this study that the CA framework can be a useful tool for evaluating organizational and social elements in addition to the EHR system's system features. Not only the EHR system's simplicity of use, but also organizational support, should be considered for the effective implementation of the behavioral EHR system. Trial Registration: The study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (IRB No.: B-1904-534-301).
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spelling pubmed-93616682022-08-10 Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework Yoo, Sooyoung Lim, Kahyun Jung, Se Young Lee, Keehyuck Lee, Donghyun Kim, Seok Lee, Ho-Young Hwang, Hee BMC Med Inform Decis Mak Research BACKGROUND: While various quantitative studies based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Models (TAM) exist in the general medical sectors, just a few have been conducted in the behavioral sector; they have all been qualitative interview-based studies. OBJECTIVE: The purpose of this study is to assess the adoption dimensions of a behavioral electronic health record (EHR) system for behavioral clinical professionals using a modified clinical adoption (CA) research model that incorporates a variety of micro, meso, and macro level factors. METHODS: A questionnaire survey with quantitative analysis approach was used via purposive sampling method. We modified the existing CA framework to be suitable for evaluating the adoption of an EHR system by behavioral clinical professionals. We designed and verified questionnaires that fit into the dimensions of the CA framework. The survey was performed in five US behavioral hospitals, and the adoption factors were analyzed using a structural equation analysis. RESULTS: We derived a total of seven dimensions, omitting those determined to be unsuitable for behavioral clinical specialists to respond to. We polled 409 behavioral clinical experts from five hospitals. As a result, the ease of use and organizational support had a substantial impact on the use of the behavioral EHR system. Although the findings were not statistically significant, information and service quality did appear to have an effect on the system's ease of use. The primary reported benefit of behavioral EHR system adoption was the capacity to swiftly locate information, work efficiently, and access patient information via a mobile app, which resulted in more time for better care. The primary downside, on the other hand, was an unhealthy reliance on the EHR system. CONCLUSIONS: We demonstrated in this study that the CA framework can be a useful tool for evaluating organizational and social elements in addition to the EHR system's system features. Not only the EHR system's simplicity of use, but also organizational support, should be considered for the effective implementation of the behavioral EHR system. Trial Registration: The study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (IRB No.: B-1904-534-301). BioMed Central 2022-08-08 /pmc/articles/PMC9361668/ /pubmed/35941636 http://dx.doi.org/10.1186/s12911-022-01959-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Yoo, Sooyoung
Lim, Kahyun
Jung, Se Young
Lee, Keehyuck
Lee, Donghyun
Kim, Seok
Lee, Ho-Young
Hwang, Hee
Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
title Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
title_full Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
title_fullStr Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
title_full_unstemmed Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
title_short Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
title_sort examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361668/
https://www.ncbi.nlm.nih.gov/pubmed/35941636
http://dx.doi.org/10.1186/s12911-022-01959-7
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