A Migration Methodology from Legacy to New Electronic Health Record based OpenEHR

Author:

Khennou Fadoua1,Chaoui Nour El Houda1,Khamlichi Youness Idrissi2

Affiliation:

1. TTI Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco

2. REIS Laboratory, Faculty of Science and Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Abstract

Nowadays, having an electronic health record properly adopted by medical bodies is no longer a challenge. In fact, the critical issue for health practitioners is related to the exchange of health data between different institutes. While some existing standards provide interoperability for e-health systems, they still not offer a coherent solution that can be integrated and used easily. In this author, the paper present OpenEHR, a consistent health standard based on the dual-level scheme, which separates the reference model from the archetypes, allowing a flexible modeling of clinical concepts. However, getting into OpenEHR implementation can be very complex. The purpose of this article is to simplify the integration of OpenEHR, by introducing a stepwise methodology of the migration from legacy SQL-based EHR to an interoperable OpenEHR based NoSQL oriented document model. Successful consolidation was achieved through the deployment of metadata and mapping rules in Java environment project, which allowed a practical automation of the interoperability integration process.

Publisher

IGI Global

Subject

Health Informatics,Computer Science Applications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementing a Data Integration Infrastructure for Healthcare Data – A Case Study;Innovations in Bio-Inspired Computing and Applications;2023

2. Prediction of COVID-19 diagnosis based on openEHR artefacts;Scientific Reports;2022-07-22

3. Personalized Retrieval in the Medical Domain: A NoSQL Solution Based on Ontology Building;Journal of Information & Knowledge Management;2020-11-26

4. A Framework for Privacy and Security Model Based on Agents in E-Health Care Systems;Advances in Intelligent Systems and Computing;2019-11-02

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