This module aims at providing a set of instruments for knowledge representation and management, which are then applied to the modeling of clinical decision support systems. The first part of the module focuses on knowledge conceptualization and representation through ontologies. The second part is centered on the topic of evidence-based medicine (EBM), with particular attention to the process of Clinical Practice Guidelines (CPGs) formalization and translation into computer-interpretable guidelines (CIGs). The last part of the module is focused on process modeling, starting from business process modeling but with a particular attention to healthcare workflows. Students will be introduced to a number of state-of-the-art research software tools that allow implementing a system able to support medical decision-making relying on a CPG. The main educational goal of the module is to understand the importance of developing conceptual models of knowledge representation, and how this enables the design of innovative decision support tools, which can be of great impact if integrated into Hospital Information Systems.
Course Prerequisites
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Teaching Methods
Lectures (hours/year in lecture theatre): 30 Practical class (hours/year in lecture theatre): 10 Practicals / Workshops (hours/year in lecture theatre): 16
Assessment Methods
During the course, students are introduced to 3 research softwares that cover all the presented aspects of the discipline. In the last part of the semester, students are divided into groups of 3 people and are assigned a group project. The project is centered on the development of a prototype guideline-based decision support system using the tools presented during the lectures. The final exam is an oral presentation by the students, followed by a detailed evaluation of the projects by the teacher.
Texts
Slides and further material is available on the module website. Other books: Altri testi: R. Greenes: Clinical decision support- The road for broad adoption, 2nd Edition, Academic Press R. Arp, B. Smith, A.D. Spear: Basic Formal Ontologies, The MIT Press
Contents
Introduction to Artificial Intelligence in Medicine Knowledge Engineering Knowledge-based systems Decision support systems in Medicine Knowledge conceptualization and representation Introduction to Ontologies How to create domain ontologies Ontologies in Protegé Evidence-Based Medicine Clinical Practice Guidelines to represent recommended behaviors in medicine Computer-Interpretable Guidelines Guideline modelingg with the Deontics Composer Process Modeling • Introduction to business process modeling Processes representation through workflows An introduction to Petri nets YAWL: a tool for the modeling of processes of care
