Abstract
The openEHR approach can improve the interoperability of electronic health record (EHR) through two-level modeling. Developing archetypes for the complete EHR dataset is essential for implementing a large-scale interoperable EHR system with the openEHR approach. Although the openEHR approach has been applied in different domains, the feasibility of archetyping a complete EHR dataset in a hospital has not been reported in academic literature, especially in a country where using openEHR is still in its infancy stage, like China. This paper presents a case study of modeling an EHR in China aiming to investigate the feasibility and challenges of archetyping a complete EHR dataset with the openEHR approach. We proposed an archetype modeling method including an iterative process of collecting requirements, normalizing data elements, organizing concepts, searching corresponding archetypes, editing archetypes and reviewing archetypes. Two representative EHR systems from Chinese vendors and the existing Chinese EHR standards have been used as resources to identify the requirements of EHR in China, and a case study of modeling EHR in China has been conducted. Based on the models developed in this case study, we have implemented a clinica...Continue Reading
References
Aug 24, 2005·International Journal of Medical Informatics·Evelyn HovengaSam Heard
Mar 30, 2007·International Journal of Medical Informatics·Sebastian GardePetra Knaup
May 12, 2007·Methods of Information in Medicine·Sebastian GardeSam Heard
Apr 11, 2009·International Journal of Medical Informatics·Jasmin BuckPetra Knaup-Gregori
Apr 24, 2009·International Journal of Medical Informatics·José A MaldonadoMontserrat Robles
Jul 3, 2009·BMC Medical Informatics and Decision Making·Rong ChenHans Ahlfeldt
Dec 2, 2010·Journal of Biomedical Informatics·Leonardo LezcanoCarlos Rodríguez-Solano
Dec 7, 2010·International Journal of Medical Informatics·Melanie Bettina Späth, Jane Grimson
Feb 3, 2011·BMC Medical Informatics and Decision Making·Liang XiaoBorislav D Dimitrov
Oct 14, 2011·BMC Medical Informatics and Decision Making·Rigoleta Dm DiasSergio M Freire
Dec 28, 2011·Journal of Biomedical Informatics·Sheng YuJesus Bisbal
Mar 17, 2012·International Journal of Medical Informatics·María Meizoso GarcíaMaría Jesús Taboada Iglesias
May 10, 2013·BMC Medical Informatics and Decision Making·Erik SundvallHåkan Örman
May 28, 2013·Journal of Biomedical Informatics·Mar MarcosMontserrat Robles
Sep 4, 2013·International Journal of Medical Informatics·Georg DuftschmidElske Ammenwerth
Jun 3, 2014·BMC Medical Informatics and Decision Making·Nadim AnaniSabine Koch
Aug 5, 2014·BMC Medical Informatics and Decision Making·Michael BraunMartin Boeker
Aug 26, 2014·International Journal of Medical Informatics·Koray AtalagJames R Warren
Sep 10, 2014·International Journal of Medical Informatics·Lynda AndrewsTony Sahama
Apr 23, 2015·Journal of Biomedical Informatics·Christina PahlOthman Ibrahim
Nov 7, 2015·BMC Medical Informatics and Decision Making·Li WangHuilong Duan
Feb 26, 2016·Journal of the American Medical Informatics Association : JAMIA·Ching-Heng LinDer-Ming Liou
Mar 17, 2016·International Journal of Medical Informatics·Bente Christensen, Gunnar Ellingsen
Oct 25, 2016·Journal of Biomedical Informatics·Afef Samet EllouzeHanen Ghorbel
Citations
Apr 5, 2021·BMC Medical Informatics and Decision Making·Qi TianHuilong Duan
Apr 15, 2021·Applied Clinical Informatics·Denilsen Carvalho GomesMarcia Regina Cubas
Jun 28, 2021·BMC Medical Informatics and Decision Making·Bo SunTing Shu