Clinical Decision Making
A.Y. 2020/2021
Learning objectives
The aim of the course is: a) to show how medical statistics and clinical epidemiology, supporting the Evidence Based Medicine - EBM - approach can be applyed to clinical practice; b) to show how these information can be used to plan and implement clinical decision strategies based on decision theory; c) to learn how an integrated approach, asking for different skills and in a multidisciplinary team can be succesfully applied, having a common culture, terminology and a conceptual framework
Expected learning outcomes
Students will be able to: a) establish an explicit relationship between the evidence-based approach to medicine (EBM), clinical decision theory (MDM) and the process of continuous improvement of the quality of health practice (CQI) b) to proceed in finding the main evidences (from MedLine, Cochrane Library and from the Guidelines) and to use them for an evaluation and critical application in the practical activity; c) to plan decision trees by applying concepts and methods of decision theory applied to clinical decision making.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Didactic Activity will be offered by Microsoft Teams. All classes can be followed both synchronously based (based on the second semester schedule) and asynchronously because all Lecture will be recorded and let available to students on the same platform.
In any case, the synchronous mode is preferable and strongly recommended as it allows the active participation of students through the formulation of questions and the discussion of the topics covered.
If National Regulation and University of Milan regulations, concerning social distancing, allow it, 50% of the Lessons will be held in person and simultaneously transmitted online.
Participation in face-to-face lessons will be voluntary and strongly recommended.
In any case, the synchronous mode is preferable and strongly recommended as it allows the active participation of students through the formulation of questions and the discussion of the topics covered.
If National Regulation and University of Milan regulations, concerning social distancing, allow it, 50% of the Lessons will be held in person and simultaneously transmitted online.
Participation in face-to-face lessons will be voluntary and strongly recommended.
Course syllabus
Deciding in uncertainty: heuristics vs analytical reasoning;
Outline of decision threshold; usefulness of scientific literature, types of studies;
Bibliographic research and critical reading of scientific articles;
Diagnosis, therapy, prognosis;
Systematic review and guidelines;
Thresholds and decision trees;
Errors and revisions of quality improvement process;
Online clinical decision; contribution of artificial intelligence.
Outline of decision threshold; usefulness of scientific literature, types of studies;
Bibliographic research and critical reading of scientific articles;
Diagnosis, therapy, prognosis;
Systematic review and guidelines;
Thresholds and decision trees;
Errors and revisions of quality improvement process;
Online clinical decision; contribution of artificial intelligence.
Prerequisites for admission
Having passed the basic examination of the Degree Course in Cognitive Sciences and Decision-Making Processes.
Teaching methods
Lectures, seminars and exercises.
Teaching Resources
- La diagnosi in medicina: storia, strumenti, scenari e incertezze nell'incontro tra paziente e medico, (2011) Raffaello Cortina Editore, Luigi Pagliaro
- L'analisi della decisione in medicina clinica (2008) Franco Angeli Editore, MC Weinstein, HV Fineberg
- User's Guide to the Medical Literature (2008) AMA G. Guyatt, D. Rennie
- Medical Decision Making (2006) Butterworth, HC Sox et. al.
- Evidence Based Medicine. How to practice and teach EBM (2005) Churchill Livingstone, DL Sackett et al.
- Meta-Analysis, decision analysis and cost-effectiveness analysis (2000) Oxford University Press, DB Petitti
- L'analisi della decisione in medicina clinica (2008) Franco Angeli Editore, MC Weinstein, HV Fineberg
- User's Guide to the Medical Literature (2008) AMA G. Guyatt, D. Rennie
- Medical Decision Making (2006) Butterworth, HC Sox et. al.
- Evidence Based Medicine. How to practice and teach EBM (2005) Churchill Livingstone, DL Sackett et al.
- Meta-Analysis, decision analysis and cost-effectiveness analysis (2000) Oxford University Press, DB Petitti
Assessment methods and Criteria
Written exam. It consists of a part with a quiz (multiple choice questions) and a part with an open answer (2-3 questions). The evaluation of the correct answers to all the questions of the test will allow to score 30/30 and eventual 30 cum laude.
MED/01 - MEDICAL STATISTICS - University credits: 6
Lessons: 40 hours
Professor:
Vago Gianluca Gaetano
Professor(s)