The Adoption of Electronic Medical Records and Decision Support Systems in Korea

Chae, Young Moon; Yoo, Keunje; Kim, Eun Sook; Chae, Hogene

doi:10.4258/hir.2011.17.3.172

Cited by 51 publications

(43 citation statements)

References 11 publications

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“…Although a survey study that only included tertiary hospitals in Korea found just 27.3% of hospitals with clinical information systems also had CDS systems,16 we found that all of our responding hospitals had CDS.…”

Section: Methodscontrasting

confidence: 67%

Standard practices for computerized clinical decision support in community hospitals: a national survey

Ash¹,

McCormack²,

Sittig³

et al. 2012

J Am Med Inform Assoc

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ObjectiveComputerized provider order entry (CPOE) with clinical decision support (CDS) can help hospitals improve care. Little is known about what CDS is presently in use and how it is managed, however, especially in community hospitals. This study sought to address this knowledge gap by identifying standard practices related to CDS in US community hospitals with mature CPOE systems.Materials and MethodsRepresentatives of 34 community hospitals, each of which had over 5 years experience with CPOE, were interviewed to identify standard practices related to CDS. Data were analyzed with a mix of descriptive statistics and qualitative approaches to the identification of patterns, themes and trends.ResultsThis broad sample of community hospitals had robust levels of CDS despite their small size and the independent nature of many of their physician staff members. The hospitals uniformly used medication alerts and order sets, had sophisticated governance procedures for CDS, and employed staff to customize CDS.DiscussionThe level of customization needed for most CDS before implementation was greater than expected. Customization requires skilled individuals who represent an emerging manpower need at this type of hospital.ConclusionThese results bode well for robust diffusion of CDS to similar hospitals in the process of adopting CDS and suggest that national policies to promote CDS use may be successful.

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Section: Methodscontrasting

confidence: 67%

Standard practices for computerized clinical decision support in community hospitals: a national survey

Ash¹,

McCormack²,

Sittig³

et al. 2012

J Am Med Inform Assoc

View full text Add to dashboard Cite

show abstract

“…People who live in urban areas adopt EMR system more than people who live in rural areas (Kazley & Ozcan, 2007). Chae, Yoo, Kim, & Chae, 2011;Cotea, 2010;Ford, 2009Ford, , 2012aFord, , 2012bJha et al, 2009;Kazley & Ozcan, 2007;Li & West-Strum, 2010;Menachemi et al, 2007Menachemi et al, , 2012Rao et al, 2011;Teufel, Kazley, Andrews, Ebeling, & Basco, 2013 Resource dependence theory 8 4 Reputation of practice "As a current nonadopter hospital scans its environment and seeks to establish legitimacy by emulating prestigious role models, we expect that EMR adoption by celebrity hospitals will exert a relatively more potent social influence. ", "Within the population of adopters, the infectiousness of celebrity adopter hospitals is stronger than the infectiousness of noncelebrity adopter hospitals" (Angst et al, 2010(Angst et al, , p. 1226 Social proximity to prior adopted hospital (membership to social network) "Social proximity or membership in a social group is also important for contagious influence."…”

Section: Kazley and Ozcan 2007mentioning

confidence: 99%

A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research

Najaftorkaman

Ghapanchi

Talaei-Khoei

et al. 2014

Asso for Info Science & Tech

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In the past three decades, several studies have extracted antecedents to the user adoption of health information systems (HIS). This study proposes a reflective pause on the HIS adoption literature to broaden our understanding of factors contributing to the user adoption of electronic medical record (EMR). This paper provides a comprehensive taxonomy of the factors influencing the user adoption of EMR and classifies these factors into meaningful categories. We searched the selected keywords on several academic databases and found an initial set of 9,684 studies. We excluded papers on the basis of their title, abstract, and full text (89 remaining papers). The effectiveness of adoption theories has been explored based on the empirical results identified in the EMR research. Furthermore, according to the conceptualization of the factors in the literature, a list of 78 factors affecting EMR adoption was identified. These factors were classified to eight categories: individual factors, psychological factors, behavioural factors, environmental factors, organizational factors, financial factors, legal factors, and technical factors. The results have implications for researchers and practitioners, including policymakers, marketers, information technology (IT) professionals, health information management (HIM) practitioners, health practice managers, and EMR system developers.

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“…1 Surveys on EMR adoption rate in tertiary hospitals in South Korea reported 50% to 77% in 2009 and 2010. 24,25 Nursing students of South Korea, however, use EMRs mostly to retrieve patient information, and much less for electronic documentation in the clinical practicum. As no study has reported on the use of AEMRs for clinical practicum in South Korea to date, the purpose of this study was to explore how students, new nurses, clinical instructors, and faculty perceive the integration of AEMRs into the undergraduate clinical practicum.…”

mentioning

confidence: 99%

Assessment of the Need to Integrate Academic Electronic Medical Records Into the Undergraduate Clinical Practicum

Choi

Park

Lee

2016

CIN: Computers, Informatics, Nursing

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As healthcare systems demand that nurses be competent in using electronic medical records for patient care, the integration of electronic medical records into nursing curricula has become necessary. The purpose of this study was to explore how students, new nurses, clinical instructors, and faculty perceive the integration of academic electronic medical records into the undergraduate clinical practicum. From January to February 2014, four focus group interviews with 18 participants were conducted based on purposive sampling. Content analysis was used on the unabridged transcripts to extract themes and develop meaningful categories. Three major themes and eight subthemes were revealed from the focus group interviews. The major themes were "electronic medical record as a learning tool for clinical practicum," "essential functions of academic electronic medical records," and "expected outcomes of academic electronic medical record." Participants expected academic electronic medical records to enhance students' nursing informatics competencies. The findings of this study can inform the process of developing academic electronic medical records for clinical practicum, which will then augment students' informatics competencies.

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The Adoption of Electronic Medical Records and Decision Support Systems in Korea

Cited by 51 publications

References 11 publications

Standard practices for computerized clinical decision support in community hospitals: a national survey

Standard practices for computerized clinical decision support in community hospitals: a national survey

A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research

Assessment of the Need to Integrate Academic Electronic Medical Records Into the Undergraduate Clinical Practicum

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