OpenEHR Modeling Applied to Eating Disorders in Clinical Practice: OpenEHR-Archetypes in Eating Disorders

Priscila Alves Maranhão, Gustavo M. Bacelar-Silva, Duarte N. Gonçalves-Ferreira, Conceição Calhau, Pedro Vieira-Marques, Marle Alvarenga, Ricardo J. Cruz-Correia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Eating disorders (ED) are described as a broad spectrum of eating-related issues, which include dysfunctional behavior related to dissatisfaction with body shape or size, as well as inadequate eating behavior such as purgative practices, binge eating and dietary restrictions for weight loss and control purposes. ED assessments are carried out through questionnaires/scales focused on ED symptoms. Meanwhile, electronic health records (EHR) should help health professionals to make decisions by providing data to support individual decisions. Aim: The current article aims to present a solution for the integration of ED tools into EHR via openEHR-archetypes and to understand the challenges involving in this process. Methods: This is an exploratory study. The literature review focused on finding the main scales applied to ED screening, which were organized and structured into openEHR-archetypes. The Ocean Archetype Editor software was used as openEHR modeling tool. Results: Three new open-EHR archetypes (Eating attitudes test - EAT-40 and its short-version - EAT-26; and Bulimic Investigatory Test, Edinburgh - BITE) were developed in the initial stage of the current study. According to a review conducted by a member of our research group, these archetypes were described as the most often adopted tests by researchers. Conclusions: The quality of medical information is essential to help improving data standards and to assure interoperability. The openEHR-archetypes developed in the current study will be essential to help to improve clinical practices and, mainly, clinical research.

Original languageEnglish
Title of host publicationProceedings - 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages36-41
Number of pages6
Volume2018-June
ISBN (Electronic)9781538660607
DOIs
Publication statusPublished - 20 Jul 2018
Event31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018 - Karlstad, Sweden
Duration: 18 Jun 201821 Jun 2018

Conference

Conference31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018
CountrySweden
CityKarlstad
Period18/06/1821/06/18

Keywords

  • archetypes
  • eating disorders
  • electronic health record
  • nutrition
  • openEHR

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