Literature DB >> 20620098

Design and implementation of a standards-based interoperable clinical decision support architecture in the context of the Korean EHR.

InSook Cho1, JeongAh Kim, Ji Hyun Kim, Hyun Young Kim, Yoon Kim.   

Abstract

BACKGROUND: In 2000 the Korean government initiated efforts to secure healthcare accessibility and efficiency anytime and anywhere via the nationwide healthcare information system by the end of 2010. According to the master plan, electronic health record (EHR) research and development projects were designed in 2005. One subproject was the design and implementation of standards-based interoperable clinical decision support (CDS) capabilities in the context of the EHR system.
OBJECTIVE: The purpose of this study was to describe the challenges, process, and outcomes of defining and implementing a national CDS architecture to stimulate and motivate the widespread adoption of CDS services in Korea.
METHODS: CDS requirements and design principles were established by conducting a selective literature review and a survey of clinicians, managers, and hospital and industrial health information technology engineers regarding issues related to CDS architectures. The previous relevant works of the American Medical Informatics Association, the Healthcare Information and Management Systems Society, and Health Level Seven were used to validate the scope and themes of the service architecture. The Arden Syntax, Standards-Based Sharable Active Guideline Environment, First DataBank, and SEBASTIAN approaches were used to assess the coverage of the application architecture thus defined. A CDS prototype of an outpatient hypertension management system was implemented and assessed in a simulated experimental setting to evaluate the feasibility of the proposed architecture.
RESULTS: Four CDS service features were identified: knowledge application, knowledge management, audit and evaluation, and CDS and knowledge governance. Five core components of CDS application architecture were also identified: knowledge-execution component, knowledge-authoring component, data-interface component, knowledge repository, and service-interface component. The coverage and characteristics of the architecture identified herein were found to be comparable with those described previously. Two scenarios of deployment architecture were identified in the context of Korean healthcare. The preliminary feasibility test revealed that the architecture exhibited good performance and made it easy to integrate patient data.
CONCLUSION: We have described the efforts that have been made to realize CDS service features, core components, application, and deployment architectures in the context of the Korean EHR. These outcomes showed the potential to contribute to the adoption of CDS at the national level. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20620098     DOI: 10.1016/j.ijmedinf.2010.06.002

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  9 in total

Review 1.  Novel genetic and epigenetic factors of importance for inter-individual differences in drug disposition, response and toxicity.

Authors:  Volker M Lauschke; Yitian Zhou; Magnus Ingelman-Sundberg
Journal:  Pharmacol Ther       Date:  2019-01-22       Impact factor: 12.310

2.  Clinical information system services and capabilities desired for scalable, standards-based, service-oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work Group.

Authors:  Kensaku Kawamoto; Jason Jacobs; Brandon M Welch; Vojtech Huser; Marilyn D Paterno; Guilherme Del Fiol; David Shields; Howard R Strasberg; Peter J Haug; Zhijing Liu; Robert A Jenders; David W Rowed; Daryl Chertcoff; Karsten Fehre; Klaus-Peter Adlassnig; A Clayton Curtis
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

Review 3.  Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps.

Authors:  Isabel de la Torre-Díez; Borja Martínez-Pérez; Miguel López-Coronado; Javier Rodríguez Díaz; Miguel Maldonado López
Journal:  J Med Syst       Date:  2014-12-04       Impact factor: 4.460

4.  GARDE: a standards-based clinical decision support platform for identifying population health management cohorts.

Authors:  Richard L Bradshaw; Kensaku Kawamoto; Kimberly A Kaphingst; Wendy K Kohlmann; Rachel Hess; Michael C Flynn; Claude J Nanjo; Phillip B Warner; Jianlin Shi; Keaton Morgan; Kadyn Kimball; Pallavi Ranade-Kharkar; Ophira Ginsburg; Melody Goodman; Rachelle Chambers; Devin Mann; Scott P Narus; Javier Gonzalez; Shane Loomis; Priscilla Chan; Rachel Monahan; Emerson P Borsato; David E Shields; Douglas K Martin; Cecilia M Kessler; Guilherme Del Fiol
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

5.  Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record.

Authors:  A González-Ferrer; M Peleg; M Marcos; J A Maldonado
Journal:  J Med Syst       Date:  2016-05-21       Impact factor: 4.460

6.  Usability assessment of an electronic health record in a comprehensive dental clinic.

Authors:  Siriwan Suebnukarn; Pawornwan Rittipakorn; Budsara Thongyoi; Kwanwong Boonpitak; Mansuang Wongsapai; Panu Pakdeesan
Journal:  Springerplus       Date:  2013-05-12

Review 7.  Electronic Health Record (EHR) As a Vehicle for Successful Health Care Best Practice.

Authors:  Marjan Ghazisaeedi; Niloofar Mohammadzadeh; Reza Safdari
Journal:  Med Arch       Date:  2014-12-16

Review 8.  A scoping review of knowledge authoring tools used for developing computerized clinical decision support systems.

Authors:  Sujith Surendran Nair; Chenyu Li; Ritu Doijad; Paul Nagy; Harold Lehmann; Hadi Kharrazi
Journal:  JAMIA Open       Date:  2021-12-16

9.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.