DocumentCode :
3715668
Title :
An ontological-based monitoring system for patients with bipolar I disorder
Author :
Chryssa H. Thermolia;Ekaterini S. Bei;Euripides G. M. Petrakis;Vangelis Kritsotakis;Vangelis Sakkalis
Author_Institution :
School of Electronic and Computer Engineering Technical University of Crete 73100 Chania, Crete, Hellas
fYear :
2015
Firstpage :
43
Lastpage :
49
Abstract :
Our aim is to provide a patient monitoring system that integrates a Clinical Decision Support System (CDSS) and an Electronic Health Record (EHR) that assist psychiatrists and primary care physicians to tackle existent health needs of mental illness related to the treatment and management of bipolar I disorder (BDI). Our monitoring system consists of an EHR system based on the Health Level Seven Reference Information Model (HL 7-RIM) and an ontological-based CDSS leveraging the Semantic Web capabilities. Based on the evidence-based clinical guidelines and patients´ health records, the monitoring system is developed to encode and process this information and subsequently to assign recommendations of choices and alerts to clinicians for improved mental health care. Considering the clinical guidelines germane knowledge, as well as issues of patient´s health record, the monitoring system can support a personalized decision-making for bipolar I disorder longitudinal course. We propose AI-CARE as an online monitoring tool that may offer useful guidance in clinical practice.
Keywords :
"Ontologies","Monitoring","Medical diagnostic imaging","Guidelines","Medical treatment","Semantic Web"
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Computational Technologies (SIBIRCON), 2015 International Conference on
Print_ISBN :
978-1-4673-9109-2
Type :
conf
DOI :
10.1109/SIBIRCON.2015.7361847
Filename :
7361847
Link To Document :
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