Literature DB >> 26049092

Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathy.

Aitor Eguzkiza1, Jesús Daniel Trigo2, Miguel Martínez-Espronceda3, Luis Serrano4, José Andonegui5.   

Abstract

Most healthcare services use information and communication technologies to reduce and redistribute the workload associated with follow-up of chronic conditions. However, the lack of normalization of the information handled in and exchanged between such services hinders the scalability and extendibility. The use of medical standards for modelling and exchanging information, especially dual-model based approaches, can enhance the features of screening services. Hence, the approach of this paper is twofold. First, this article presents a generic methodology to model patient-centered clinical processes. Second, a proof of concept of the proposed methodology was conducted within the diabetic retinopathy (DR) screening service of the Health Service of Navarre (Spain) in compliance with a specific dual-model norm (openEHR). As a result, a set of elements required for deploying a model-driven DR screening service has been established, namely: clinical concepts, archetypes, termsets, templates, guideline definition rules, and user interface definitions. This model fosters reusability, because those elements are available to be downloaded and integrated in any healthcare service, and interoperability, since from then on such services can share information seamlessly.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical knowledge modelling; Diabetic retinopathy; Dual-model layered architecture; Electronic health record; Ophthalmology; Semantic interoperability

Mesh:

Year:  2015        PMID: 26049092     DOI: 10.1016/j.jbi.2015.05.017

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  1 in total

1.  Guideline-based Clinical Decision Support Systems as an Inseparable Tool for Better Cancer Care Management.

Authors:  Leila Shahmoradi; Ahmad Reza Farzanehnejad; Goli Arji
Journal:  Iran J Public Health       Date:  2016-07       Impact factor: 1.429

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.