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THE USE OF DATA IN MEDICAL DECISIONS Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
The proposed program will also allow students who have not previously matured
Disciplinary knowledge to achieve the training objectives indicated. There are therefore no prerequisites, but we recommend a knowledge of the basic notions of biostatistics
Objectives
Contents 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
Recommended Bibliography • Copia delle slide utilizzate durante le lezioni e materiale bibliografico disponibili on-line
Methods of Provision
Teaching Methods The teaching is structured in 48 hours of frontal didactics, each lesson will be divided into two parts. A first part in which will be presented the topic of the lesson and in a second part in which will be proposed by the teacher of the exercises that allow to verify the practical application of the topics treated in a theoretical way.
Evaluation methods Verification of learning:
The verification of the preparation of the students will be done by written examination composed of multiple answer questions and/or exercises that allow to verify the practical application of the subjects covered. The total points (30) will be divided on the basis of the questions present on the task and reported on the text in relation to each individual test question. There is no oral test.
The duration of the test is 30 minutes.
The teaching methodology and the methods of verification will be presented by the teacher at the beginning of the course.
Contacts/More Information Students will be received by the teacher by appointment to be agreed by e-mail to the address marta.dinicola@unich.it