Midwifery - Roma Azienda Ospedaliera Sant’Andrea

Activity type

Scienze interdisciplinari

SSD

INF/01

Year

N/D

Semester

N/D

CFU

2

Hours distribution

16 classroom hours

Lecturers

BASILE PAPASPYROPOULOS

Activity type

Scienze propedeutiche

SSD

MED/42

Year

N/D

Semester

N/D

CFU

2

Hours distribution

16 classroom hours

Lecturers

GIOVANNI BATTISTA ORSI

Activity type

Scienze propedeutiche

SSD

MED/01

Year

N/D

Semester

N/D

CFU

1

Hours distribution

8 classroom hours

Lecturers

LUIGI LEONE

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
General aims. The course aims at providing the students with theoretical and practical knowledge needed to competently use the statistical relevant for basic and applied medical research. The expected outcomes would be: competent and critical reading of research papers and efficacy evaluations; competent planning of basic statistical analyses; competent execution of basic statistical analyses.
The traditional lessons would allow students to master the planning and execution of research designs and basic analyses. Exercises and practical tasks would provide students with hand-on opportunities to code data and data-entry, and with examples covering widely used basic statistical tests.

Specific aims. Knowledge and understanding: passing the exam would imply the ability of understanding and using the basic data analysis techniques, and the ability of developing empirical hypothesis. Applying knowledge and understanding: passing the exam would imply the ability of using basic statistical tools, and of applying them across different contexts. Making judgment: passing the exam would imply mastering the ability to make informed evaluations on research projects, and on methodological issues; such abilities would allow to detect limitations, and potential developments of research designs and statistical analyses. Such abilities would be attained through discussions on various research issues, and by instantiating different analytical results. Communication skills: passing the exam would imply mastering of the communication tools needed for effective scientific communication. Such abilities would be attained by emphasizing and instantiating the use of scientific terminology and technically-oriented rhetoric. Learning skills: passing the exam would imply the ability of further learning on the general topic of scientific methodology and data analysis. Such abilities would be transmitted by emphasizing how different statistical techniques can be used to answer a wide array of empirical questions.

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
To more adequately digest the materials provided during the course and the to take full advantage of the study of the materials the following prerequisite apply: basic notions of arithmetic (important).

Module: INFORMATICS
Principles of health informatics. Data, information, knowledge.
Information integrity. Main data types and characteristics.
Information processing cycle.
Structuring and management of data and information (database).
Meta-information, big data, and big data analytics.
Decision support systems. Artificial intelligence.
Classifications, nomenclatures, terminology systems, and standards in healthcare.
Health documentation (electronic health record).
GDPR


Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
The main general covered by the course are: 1) Data gathering, coding and entering. 2) Frequency distributions. 3) Graphs. 4) Central tendency indicators. 5) Variability indicators and association statistics. 6) Shape of a distribution. 7) Distributions. 8) Statistical tables. 9) Parameters and confidence intervals. 10) Basic statistical tests.
The course would be approximately segmented as follows: mainly traditional lessons, devoted to data gathering, coding and entering, and to frequencies and graphs; then we will proceed to introducing the central tendency and dispersion indicators, and the main distributions; finally, discussion the basic statistical tests, having previously introduced the logic of the null-hypothesis statistical testing.

Module: INFORMATICS
Handouts and study material will be communicated by the teacher during the course and made available to students on the platform www.informaticamedica.matam.it.


Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
Slides and material used for the lessons will be available to students. ONE among the books listed below may be selected by students for consulting the topics inlcuded in the syllabus.
M.Fraire A.Rizzi 'Elementi di Statistica' NIS (La Nuova Italia scientifica) Ed.
A. Bossi, I. Cortinovis, P. Duca, E. Marubini 'Introduzione alla Statistica Medica' NIS (La Nuova Italia scientifica) Ed.
P.Armitage e G. Berry, 'Statistica Medica' Mc-Graw-Hill Ed. (edizione italiana a cura di Mario Bolzan)
Epidemiologia clinica
F.DiOrio et al. 'Elementi di metodologia epidemiologica clinica' Piccin Ed.
R.H.Fletcher et al. 'Epidemiologia clinica' Luigi Pozzi Ed.
S.J.Pocock 'Sperimentazioni cliniche' Centro Scientifico Torinese
Dunn-Everitt 'Biostatistica clinica' Il Pensiero Scientifico Ed.
A.Morabia 'L'Epidemiologia clinica' Il Pensiero Scientifico Ed.

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
N/D

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
Traditional classroom lessons and hands-on lab exercises

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
Mandatory

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
The evaluation test includes items, with four possible answers. The test must be completed in 45 minutes. For each item only one of the four options is correct. The questions tap on the extent students master the topics of the course in terms of “knowledge and understanding”, and in terms of “applying knowledge and understanding”. To pass the evaluation at a least a grade-score of “sufficiency” correct answers should be in the majority. Such a score can be interpreted as reflecting a sufficient attainment of the topics covered by the course, and of the abilities acquired. If deemed convenient, the exam could also take the form of a hands-on lab assignment.

Module: INFORMATICS
N/D
Module: MEDICAL STATISTICS
N/D
Module: EVIDENCE-BASED MEDICINE
The main features of the normal curve are?

Module: INFORMATICS

• The topics of the lessons will be distributed according to the academic calendar.