Les séminaires de recherche sur les systèmes de santé présentent: « Decision Support for Multi Morbidities »
Le mercredi 10 mai 2017, de 10 h à 12 h
Cet événement se déroulera en anglais seulement.
Mor Peleg, Ph.D.
Department of Information Systems
University of Haifa
(En anglais seulement)
Realizing the proven capabilities of computers in better processing of complex knowledge and data, medicine is heading toward computer-supported decision making. Following this vision, several research groups have developed languages that allow the representation of CPGs as computer-interpretable guidelines (CIGs). CIG engines match a patient’s data to the medical knowledge contained in the CIG in order to automatically deliver patient-specific recommendations at the point of care. However, existing CIG formalisms have not yet demonstrated in practice effective mechanisms for integrating CIGs to handle multi morbidities. The aim of this research is to develop and evaluate a new methodology for integrating the knowledge of CIGs for different chronic diseases to create non-conflicting management plans for patients with chronic comorbidities.
In the talk, professor Peleg will present their methodology, which is a work in progress. Their methodology takes a goal-based approach that is modular and reusable. They envision a system of single-disease guidelines acting as agents whose invocation and conclusions are coordinated b a “Controller” agent that uses design patterns to recognize conflicts between different CPG goals and actions. The Controller then suggests ways in which these conflicts may be mitigated. It relies on CPG knowledge supplemented with general medical knowledge about the physiological effects of drugs and about drug hierarchies. Their approach is being implemented using existing commercial tools and standards. They use the PROforma CIG formalism and tools and the NDF-RT drug ontology for representing guideline and general medical knowledge, and the HL7 virtual medical record standard for structuring, storing, and retrieving patients’ data. The talk will focus on demonstrating how they have been developing their approach by applying information system analysis methods (Sequence Diagrams) to use-case patient scenarios of multi-morbidity patients.
- Date :
- Le mercredi 10 mai 2017
- Heure :
- de 10 h à 12 h
- Lieu :
- École de gestion Telfer
55, avenue Laurier Est
Ottawa (Ontario) K1N 6N5
Voir sur Google Maps
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À propos de la conférencière
Mor Peleg is an Associate Professor at the department of Information Systems, University of Haifa, Israel, since 2003, and has been Department Head in 2009-2012. Her BSc and MSc in Biology and PhD in Information Systems are from the Technion, Israel. She spent 6 years at Stanford BioMedical Research during her post-doctoral studies and Sabbatical, and is currently on Sabbatical at Stanford (till July 2017). She was awarded the New Investigator Award by the American Medical Informatics Association (AMIA) for her work on clinical guideline based decision support and is International Fellow of the American College of Medical Informatics since 2013. She is Associate Editor of Journal of BioMedical Informatics and a member of the editorial board of Methods of Information in Medicine. Her research concerns knowledge representation, decision support systems, and process-aware information systems in healthcare. She has over 100 publications and an H-index of 33.
She was the coordinator of the FP7-ICT large-scale project MobiGuide in 2011-2015. She chaired the scientific PC of Artificial Intelligence in Medicine (2011), and has been co-chair of the annual BPM ProHealth Workshop and Knowledge Representation for Healthcare Workshop since 2007.