Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
Abstract 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 intervie...
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-022-01959-7 |
| _version_ | 1811320760276353024 |
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| author | Sooyoung Yoo Kahyun Lim Se Young Jung Keehyuck Lee Donghyun Lee Seok Kim Ho-Young Lee Hee Hwang |
| author_facet | Sooyoung Yoo Kahyun Lim Se Young Jung Keehyuck Lee Donghyun Lee Seok Kim Ho-Young Lee Hee Hwang |
| author_sort | Sooyoung Yoo |
| collection | DOAJ |
| description | Abstract 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). |
| first_indexed | 2024-04-13T13:05:03Z |
| format | Article |
| id | doaj.art-4ca1c2b55d0440e9b03f6bf9cb673d2f |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-04-13T13:05:03Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-4ca1c2b55d0440e9b03f6bf9cb673d2f2022-12-22T02:45:47ZengBMCBMC Medical Informatics and Decision Making1472-69472022-08-012211910.1186/s12911-022-01959-7Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption frameworkSooyoung Yoo0Kahyun Lim1Se Young Jung2Keehyuck Lee3Donghyun Lee4Seok Kim5Ho-Young Lee6Hee Hwang7Office of eHealth Research and Businesses, Seoul National University Bundang HospitalOffice of eHealth Research and Businesses, Seoul National University Bundang HospitalOffice of eHealth Research and Businesses, Seoul National University Bundang HospitalOffice of eHealth Research and Businesses, Seoul National University Bundang HospitalDepartment of Education and Training, Seoul National University Bundang HospitalOffice of eHealth Research and Businesses, Seoul National University Bundang HospitalOffice of eHealth Research and Businesses, Seoul National University Bundang HospitalDepartment of Pediatrics, Seoul National University Bundang HospitalAbstract 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).https://doi.org/10.1186/s12911-022-01959-7Behavioral electronic health record (EHR) adoptionClinical adoption frameworkEHR implementationSurvey studyStructural equation analysis |
| spellingShingle | Sooyoung Yoo Kahyun Lim Se Young Jung Keehyuck Lee Donghyun Lee Seok Kim Ho-Young Lee Hee Hwang Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework BMC Medical Informatics and Decision Making Behavioral electronic health record (EHR) adoption Clinical adoption framework EHR implementation Survey study Structural equation analysis |
| 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 | Behavioral electronic health record (EHR) adoption Clinical adoption framework EHR implementation Survey study Structural equation analysis |
| url | https://doi.org/10.1186/s12911-022-01959-7 |
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