The course aims to prepare healthcare professionals who are adequately informed about the regulations governing workplace safety and have basic statistical, computer, and epidemiological knowledge, especially the fundamentals of epidemiology applied to the prevention of diseases.

D1. Knowledge and Understanding: At the end of the course, the student must demonstrate an understanding of safety regulations and procedures, basic elements of descriptive and inferential statistics, fundamental principles of computer science, and epidemiology.

D2. Application of Knowledge and Understanding: By the end of the course, the student should be able to locate, recognize, and interpret regulatory texts and/or guidelines for safety in the activities of a Healthcare Assistant. They should be able to read and apply statistical elements to medical and epidemiological experiments and research. They will be aware of computer operation principles and data protection safety standards.

D3. Autonomy of Judgment: They should be capable of analyzing and proposing choices for safety in healthcare activities. The course provides a certification of general and high-risk training according to Legislative Decree 81/2008. They should critically evaluate the results of experiments and scientific articles with data collection and analysis in clinical and epidemiological contexts. Moreover, they should be able to use Excel.

D4. Communication Skills: They should be able to present knowledge and understanding of safety in healthcare activities. They should express themselves appropriately on basic topics of statistics and epidemiology in biomedical-health applications, also in view of the thesis project. By the end of the course, students will have acquired specific computer language and terms to communicate effectively with IT technical support. They will also know how to address and solve a moderately complex problem using a spreadsheet.

D5. Learning Skills: They should be able to grasp the essential elements of new topics, particularly in the methodology of clinical-epidemiological research and data processing in the biomedical field. They should apply acquired knowledge to real cases to find solutions to new problems.

Having completed the module related to general training for workers (4 hours) and passed the final test. Material available on Moodle.
Basic knowledge of mathematics.

The contents of the course concern the principles, methods and rules governing safety in the workplace in the health professions. Statistical methods in biomedical studies and for the design of randomized clinical trials and observational studies are also explored. Basic principles of informatics and epidemiology.

Alessio Lorenzo, Franco Giuliano, Apostoli Pietro. Trattato di Medicina del Lavoro. Piccin, 2015
A. Sacco - M. Ciavarella - G. De Lorenzo, “Medicina del lavoro per le professioni sanitarie” - EPC ed. 2011.
P.Armitage, G.Berry “Statistical Methods in Medical Research”, Third Edition, Blackwell Science. J. Fox “Using the R Commander. A point-and-click interface for R”, 2017, CRC press.
Manuale di epidemiologia per la sanità pubblica.
Faggiano F, Donato F, Barbone F. Centro Scientifico Editore. 2005
Dennis P. Curtin, Kim Foley ed altri, Informatica di base, McGraw-Hill
Federico Tibone, La patente del computer, Nuova ECDL, Zanichelli
Alberto Clerici, Excel livello avanzato, Alpha Test
Giorgio Sbaraglia, Cyber security, goWare

Occupational health objectives and regulatory developments;
- Prevention in occupational medicine: Risk assessment, health surveillance, worker information and training. Actors involved in prevention (workers, employers (managers and supervisors), prevention services, occupational physicians, health and safety representatives).
- Prevention of injuries and occupational diseases in the healthcare sector
- Biohazards (post-exposure protocol)
- Chemical risks (labelling and safety data sheets)
- Ergonomic risk (bone and joint diseases and pathologies)
- Organisational risks (night shifts, work-related stress)
- Risks related to the use of video terminals
- Physical risks (non-ionising radiation, ionizing radiations, vibrations)
- Allergic risk (latex diseases)
- Risk from the use of carcinogenic/antiblastic substances (occupational cancers)
- Legislation to protect working mothers
- Legislation on alcohol and psychotropic substances at work
• What is statistics; which are the applications of statistics; who use it. • Role of statistics in the biomedical research area. • Basic notions of Surveys and Experiments. • Basic sampling concepts. • Type of variables (qualitative/quantitative). Scales of measurements. • Unitary and frequency distributions. • Numerical and graphical summaries of data. • Correlation and regression. • Basic probability. • Random variables, binomial distribution, normal distribution. • Basic concepts of hypothesis testing and confidence intervals.
Introduction to public health
Health definitions
Causality criteria
Epidemiological measures of frequency
Epidemiological measures of association
Impact epidemiological measures
Epidemiological study designs

Computer science and algorithms
Data and information
The coding of information
Artificial Intelligence
Machine Learning and model training
Ethical problems of Artificial Intelligence
ASCII code
Von Neumann model
The structure of a computer
Input and output peripherals
Mass memories
The software
Basic software and application software
Operating systems
Memory unit
Management of files and folders
Networks and Internet browsing
The means of transmission
TCP/IP addresses and DNS
Static and dynamic WEB pages
The Excel spreadsheet
Concept of folder, worksheet, cell, cell addresses
Cell operations
Excel data types
Absolute and relative references
Excel calculation functions
Examples of functions
Creating charts
Pivot tables
Privacy and importance of personal and corporate data
What is cybersecurity
The triad: integrity, confidentiality and availability
Threats to data: physical and cyber
The types of malware
Viruses
Social engineering, phishing
Ransomware
Spam defense techniques
The digital signature

The course lessons will be mainly theoretical, delivered through frontal teaching with numerous examples and exercises related to each topic covered. Student participation will be encouraged.

The course includes practical exercises, either in the computer lab or on your own laptops.

The final exam will assess the outcome of individual modules through a weighted average of grades. For details on each test, refer to the specific syllabi.