OpenEHR Meets Interoperability and Knowledge Engineering

Author:

Oliveira Daniela1,Miranda Filipe Manuel Mota2ORCID,Coimbra Ana1,Abreu Nuno2ORCID,Leuschner Pedro2,Abelha António Carlos1

Affiliation:

1. Algoritmi Research Center, University of Minho, Braga, Portugal

2. Centro Hospitalar do Porto, Porto, Portugal

Abstract

Currently, implementing a new electronic health record data system is a rather difficult mission. Among some of the cons are the systems that already exist in institutions, different types of formats, programming languages and versions, user mentality, and resistance to new technologies. The new approach presented is based on an openEHR architecture that introduces a new way of organizing clinical information using valid and reusable clinical structures. This article focuses on the initial steps of the implementation of an openEHR system based on EHR in a Portuguese major health care provider. In all components presented in this approach, the mapping of the current systems in the healthcare institution is guaranteed. The system comprises operational template creation through a validation mechanism and after that storage, a platform for data generation dynamically constructed from templates and an interoperability mechanism through the implementation of an HL7 V3/CDA message system.

Publisher

IGI Global

Subject

Health Information Management,Medical Laboratory Technology,Computer Science Applications,Health Informatics,Leadership and Management

Reference21 articles.

1. SNOMED CT module-driven clinical archetype management

2. Beale, T., & Heard, S. (Ocean I. (2007). Archetype Definitions and Principles. Ocean Informatics, 15.

3. Machine learning and software engineering in health informatics

4. da Costa Oliveira, R. (2016). Transformation of clinical data from HL7 messages to openEHR compositions.

5. Template4EHR: Building Dynamically GUIs for the Electronic Health Records Using Archetypes

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3