Clinical informatics, also known as healthcare informatics, is the study and use of data and information technology to deliver health care services and to improve patients’ ability to monitor and maintain their own health. Clinicians, patients, and caregivers are the beneficiaries of the data analysis and clinical decision support involved in this field. The course will introduce the student to the methods used: • To collect, store, and analyze health care data, • To support clinical decisions, including summarization, provision of evidence, and active decision support • To optimize the flow of information and coordinating it with care providers’ and patients’ workflows to maximize patient safety and care quality

At the end of the course, the student will be able to analyze and compare different clinical process, to organize datawarehouses and apply data mining methods, and to develop clinical decision support systems.

Computational intelligence and machine learning methods.

01. Introduction 02. Clinical pathways, patient journey, process mining 03. Clinical decision support systems 04. Data mining and Knowledge extraction 05. Patient empowerment Process analysis, Decision support systems, Data mining and Knowledge extraction are the topics of the laboratory work.

The course consists of 30 hours in class and 30 hours of work in laboratory

Slides

Modalità di esame: Prova scritta (in aula); Prova orale obbligatoria; Elaborato scritto prodotto in gruppo;

Exam: Written test; Compulsory oral exam; Group essay;

... The exam consists of a written test and an oral presentation of the laboratory work. The first is performed singularly; the second involves the whole group. The grade is obtained by summing: a) Written test lasting 1 hour and consisting in 3 open answer questions, max 24 points (the minimum score that must be obtained for each question is equal to 3 points, otherwise the exam is failed). It evaluates the knowledge acquired on the methods. During the text the student is not allowed to use his/her notes or any other material. b) Oral presentation of the laboratory work: max 3 points. It evaluates the ability of the students to present the results of their work. c) Written reports of the laboratory work: max 6 points. It evaluates the ability in using the methods.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.