Psychiatric Rehabilitation Technique

Activity type

Scienze propedeutiche

SSD

MED/01

Year

1st year

Semester

1st semester

CFU

1

Hours distribution

8 classroom hours

Lecturers

MARCO IOSA
MARCO IOSA

Activity type

Scienze della prevenzione dei servizi sanitari

SSD

MED/42

Year

1st year

Semester

1st semester

CFU

1

Hours distribution

8 classroom hours

Lecturers

MARIO VETRANO
MARIO VETRANO

Activity type

Scienze propedeutiche

SSD

INF/01

Year

1st year

Semester

1st semester

CFU

2

Hours distribution

16 classroom hours

Lecturers

BASILE PAPASPYROPOULOS
BASILE PAPASPYROPOULOS

Activity type

Scienze propedeutiche

SSD

FIS/07

Year

1st year

Semester

1st semester

CFU

2

Hours distribution

16 classroom hours

Lecturers

Giuseppe Marzo
Giuseppe Marzo

Module:
Students are expected to acquire knowledge and skills about the use of descriptive and inferential statistics in clinical field


Module:
N/D
Module:
Propaedeutic Sciences
At the end of the course, students will be able to:
- Understand the principles of health informatics and its applications in clinical sciences.
- Acquire the basics of technological and methodological concepts for the use of digital tools and for the management of data and information in the field of health and clinical sciences.
- Know the regulations and standards related to digital health and health data protection.
- Understand the fundamental concepts of big data and big data analytics, decision support systems and artificial intelligence in the health sector.



Module:
N/D

Module:
No requirements


Module:
N/D
Module:
Interest in learning more about digital technologies and digital health applied to the healthcare context.


Module:
N/D

Module:
Psychological measurement: variables and measurement scales; Descriptive Statistics: frequency distributions, central tendency, variability, probability, gaussian distribution, t-distribution, Inferential Statistics: null hypothesis, t-test, analysis of variance, correlation, regression analysis, hypothesis testing; Pscychological tests as measurement tools (classical test theory, formative and reflective indicators, construct definition, operationalization of a construct); Analysis of psychometric properties of a psychological test: item analysis, reliability, validity; Interpretation and standardization of scores: z-score, t-score, percentile ranks; Analysis of psychometric properties of a psychological test



Module:
N/D
Module:
Propaedeutic Sciences
- Impact of new technologies and digital health.
- Principles of health informatics.
- Data, information and knowledge; structuring, representation and management of data.
- Basic concepts of information technology and representative models.
- Structuring and organization of information.
- Databases and data processing.
- Metainformation, big data and big data analytics.
- Decision support systems.
- Artificial intelligence in health.
- Standards and regulations for health informatics.



Module:
N/D

Module:
Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). DOI: 10.24384/hgc3-7p15
https://www.learnstatswithjamovi.com/

Manuale di statistica per la ricerca e la professione. Soliani L, 2005,
http://www.dsa.unipr.it/soliani/soliani.html



Module:
N/D
Module:
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:
N/D

Module:
N/D
Module:
N/D
Module:
N/D
Module:
N/D

Module:
Lessons with slide presentations
and examples.



Module:
N/D
Module:
The lessons will be held in a face-to-face and interactive manner.


Module:
N/D

Module:
In presence, according to Sapienza dispositions.


Module:
N/D
Module:
Mandatory attendance.


Module:
N/D

Module:
Written test


Module:
N/D
Module:
Written test (multiple choice quiz) on the topics covered during the course and a short written presentation on a specific topic assigned by the teacher.


Module:
N/D

Module:
Repeated Measure Anova, Correlation, Principal Component Analysis


Module:
N/D
Module:
Multiple Choice Quiz


Module:
N/D

Module:

• Statistica descrittiva


• Statistica inferenziale, t-test


• Anova e correlazione


• Tabelle di contingenza e epidemiologia