Experience-Based Electronic Health Records * Actualizado *

Experience-Based Electronic Health Records  Cybernetics and Systems: An International Journal
Volume 47, Issue 1-2, 2016
Special Issue:   Smart Experience and Knowledge Engineering for Optimization, Learning, and Classification/Recommendation Problems

Experience-Based Electronic Health Records

DOI: 10.1080/01969722.2016.1128774

	Naiara Muro	Computational Intelligence Group, University of The Basque Country UPV/EHU, San Sebastian, Spain
	Eider Sanchez	Biodonostia Health Research Institute, San Sebastian, Spain
	Carlos Toro	Vicomtech-IK4, Donostia-San Sebastian, Spain
	Eduardo Carrasco	Biodonostia Health Research Institute, San Sebastian, Spain
	Sebastián A. Ríos	Industrial Engineering Department, Business Intelligence Research Center, University of Chile, Santiago, Chile
	Frank Guijarro	Bilbomatica, Bilbao, Spain
	Manuel Graña	ENGINE Centre, Wrocław University of Technology, Wrocław, Poland

Abstrat: Electronic Health Records are clinical information repositories that have been proposed primarily to provide access to all clinical data of a patient. They have been formally defined by a dual model composed of a reference model and an archetype model. Such dual approach allows semantic interoperability, thus making different systems understand each other. In this work we extend the current structure with a third Decisional Model that will allow reasoning over the embedded clinical contents. Such reasoning will be based on the reuse of the clinical experience gained by the corresponding clinical professionals during different decision procedures.


Electronic Health Record (EHR) Semantization
Clinical Decision Support Systems
Proposed EHR Model
Triple Model Approach
Experience-Based EHR Architecture
Case Study on Breast Cancer

http://www.tandfonline.com/doi/full/10.1080/01969722.2016.1128774