GLARE-SSCPM: An Intelligent System to Support the Treatment of Comorbid Patients

Luca Piovesan, Paolo Terenziani, Gianpaolo Molino

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

The development of software tools supporting physicians in the treatment of comorbid patients is a challenging goal and a 'hot topic' in medical informatics and artificial intelligence. Computer interpretable guidelines (CIGs) are consolidated tools to support physicians with evidence-based recommendations in the treatment of patients affected by a specific disease. However, the application of two or more CIGs on comorbid patients is critical, since dangerous interactions between actions from different CIGs may arise. GLARE-SSCPM is the first tool supporting, in an integrated way, the knowledge-based detection of interactions, the management of the interactions, and the final 'merge' of (part of) the CIGs operating on the patient. GLARE-SSCPM is characterized by being very supportive to physicians, providing them support for focusing, interaction detection, and for a 'hypothesize and test' approach to manage the detected interactions. To achieve such goals, it provides advanced artificial intelligence techniques. Preliminary tests in the educational context, within the RoPHS project, have provided encouraging results.

Lingua originaleInglese
Numero di articolo8574966
pagine (da-a)37-46
Numero di pagine10
RivistaIEEE Intelligent Systems
Volume33
Numero di pubblicazione6
DOI
Stato di pubblicazionePubblicato - 1 nov 2018

Fingerprint

Entra nei temi di ricerca di 'GLARE-SSCPM: An Intelligent System to Support the Treatment of Comorbid Patients'. Insieme formano una fingerprint unica.

Cita questo