Ateneo - UPO

1) What is medical research?
2) Why Evidence-Based Medicine?
3) Methodological problems of effectiveness evaluation
4) Conflict of interest and the role of industry
5) Studies for the evaluation of efficacy
6) Dissemination tools
7) Systematic literature reviews (vs narrative reviews)
8) Literature search
9) Data extraction from scientific documents

Haynes, Straus, Glasziou, Richardson. Evidence-based medicine:
Come praticare e insegnare la medicina basata sulle prove di efficacia. Il Pensiero Scientifico Editore. Materials shared in DIR
Suggested textbook:
Evidence-based medicine. Come praticare e insegnare la medicina basata sulle prove di efficacia
di Sharon E. Strauss, Walter Scott, e al.
Il Pensiero Scientifico

At the end of the course the students will be able, under the supervision of a content expert, to feed an artificial intelligence project related to the treatment or prevention of diseases, with efficacy data. In particular they will be able to:
- search for useful reports
- select the relevant and best quality ones
- identify and extract the necessary data

Nessuno

Teaching methods
Lectures, classroom exercises, analysis of materials individually and in groups, individual or group exercises

The utility of developing skills in the use of medical classifications such as the ICD will be assessed

Research, reading and extraction of useful data to feed an AI project from scientific documents

1) What is research? Establish and explain causal relationships between phenomena
a. etiological research
b. search of the mechanisms of the natural phenomena
c. search for efficacy and effectiveness
2) Why Evidence-Based Medicine?
3) Methodological problems of effectiveness evaluation
4) Conflict of interest and the role of industry
5) Studies for the evaluation of efficacy
a. primary studies
b. secondary studies
6) Dissemination tools
a. Guidelines (Grade)
b. point of care services (uptodate)
7) Systematic literature reviews (vs narrative reviews)
a. Cochrane
8) Literature search
a. Medline
9) Data extraction from scientific documents
a. identify useful indicators for AI in scientific reports
b. extract useful data from scientific reports to feed AI processes
c. target disease or condition
d. evaluation intervention
e. type of study (and validity)
f. measure of association
g. measures of statistical stability

Understanding of the language of EBM;
Development of skills and abilities useful for actively participating in machine learning projects that require the identification of effective treatments and preventive interventions; ability to interact with healthcare professionals on such projects