HEALTH SERVICES LAW AND ORGANIZATION Single channel

Chair (Coordinator) and Rapporteur: GIANNI CARBONE

Module 1: BUSINESS ECONOMY AND ORGANIZATION

Activity type
Scienze del management sanitario
SSD
SECS-P/10
Year
2nd year
Semester
2nd semester
CFU
2
Hours distribution
20 classroom hours
Lecturers
GIANNI CARBONE

Module 2: LABOR LAW

Activity type
Scienze del management sanitario
SSD
IUS/07
Year
2nd year
Semester
2nd semester
CFU
1
Hours distribution
10 classroom hours
Lecturers
SUSANNA RICCI

Module 3: HEALTH MANAGEMENT

Activity type
Scienze del management sanitario
SSD
SECS-P/07
Year
2nd year
Semester
2nd semester
CFU
1
Hours distribution
10 classroom hours
Lecturers
GIANNI CARBONE

Module 4: INFORMATION PROCESSING SYSTEMS

Activity type
Scienze interdisciplinari
SSD
ING-INF/05
Year
2nd year
Semester
2nd semester
CFU
1
Hours distribution
10 classroom hours
Lecturers
Luciano Midolo

Objectives


The course aims to bring to the knowledge of the fundamentals of programming and organization of health services: Italian health legislation and the organization of services in terms of health policy and performance objectives. The student is brought to acquire Basic knowledge on the corporate organization as well as employment law foundations and public administration. The student must know and be able to use the basic computer programs.

Learning outcomes

Module: BUSINESS ECONOMY AND ORGANIZATION
N/D
Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT
KNOWING HOW TO IDENTIFY THE PARAMETERS OF EFFECTIVENESS AND EFFICIENCY. KNOW THE PUBLIC HEALTH INSTITUTIONS WITH PARTICULAR REFERENCES TO PUBLIC HEALTH EXPENDITURE.
BASIC LABOR LAW WITH PRACTICAL INSIGHTS.
INFORMATION PROCESSING SYSTEMS WITH PARTICULAR USE OF APPLICATION SOFTWARE


Module: INFORMATION PROCESSING SYSTEMS
N/D

Prerequisites

Basic knowledge of mathematics and computer science at school level.

Programme

Module: BUSINESS ECONOMY AND ORGANIZATION
- The basics of the economy
- Markets and State
- Fundamentals of supply and demand
- Consumer choices
- Production and technology - the production function
- Cost analysis
- Competition - Monopoly - Oligopoly
- Public goods and meritorious goods
- Healthcare spending
- Healthcare companies in Italy.
- Models and the history of health systems


Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT
- The basics of the economy
- Markets and State
- Fundamentals of supply and demand
- Consumer choices
- Production and technology - the production function
- Cost analysis
- Competition - Monopoly - Oligopoly
- Public goods and meritorious goods
- Healthcare spending
- Healthcare companies in Italy.
- Models and the history of health systems


Module: INFORMATION PROCESSING SYSTEMS
At the end of the course, students will be able to:
1. describe the role of informatics, digital technologies and information systems in the
management of biomedical laboratory activities;
2. identify the main stages involved in the acquisition, recording, processing, storage
and transmission of laboratory data;
3. create and organize a simple database in Excel by correctly structuring variables,
observations, coding systems and missing values;
4. use the main Excel tools and functions to sort, filter, check, summarize and
represent data generated through laboratory activities;
5. apply data validation, conditional formatting and basic control tools to improve data
accuracy, completeness and traceability;

6. record, run and describe the functioning of a simple macro designed to automate
repetitive tasks;
7. formulate a research question relevant to biomedical laboratory sciences and
develop a search strategy using keywords, controlled vocabulary, Boolean
operators and filters;
8. use a biomedical database and a citation manager at an introductory level to search
for, organize and cite scientific sources;
9. apply essential principles of privacy, security, professional responsibility and critical
use of artificial intelligence when managing healthcare data.

Books

Module: BUSINESS ECONOMY AND ORGANIZATION
"Principles of Economics and Health Economics" - G.Masiero University of Bergamo Studies - ed. McGraw-Hill


Handouts provided by the teacher.


Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT
"Principles of Economics and Health Economics" - G.Masiero University of Bergamo Studies - ed. McGraw-Hill


Handouts provided by the teacher.


Module: INFORMATION PROCESSING SYSTEMS
English
Teaching materials, slides, tutorials and practical resources will be provided by the lecturer
through the e-learning platform or during classes.
Recommended book:
1. Vellone, E., Piredda, M. (2025). La revisione della letteratura scientifica biomedica.
Metodologie e strumenti. Italia: Infermieristica Editore.

Bibliography

Module: BUSINESS ECONOMY AND ORGANIZATION
Indicated by the teacher during the lessons.


Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT
Indicated by the teacher during the lessons.


Module: INFORMATION PROCESSING SYSTEMS
N/D

Lessons mode

Module: BUSINESS ECONOMY AND ORGANIZATION
FRONT


Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT
FRONTAL/WITH INSIGHTS AND/OR DISTANCE RECOVERY


Module: INFORMATION PROCESSING SYSTEMS
N/D

Frequency

Mandatory/recommended based on the degree program's academic regulations.

Exam mode

written exam (possibly with multiple-choice and/or open questions) and/or oral examination.

Example exam questions

Module: BUSINESS ECONOMY AND ORGANIZATION
N/D
Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT
THE PRODUCTION PROCESS - THE MAIN SOURCES OF LAW IN ITALY - LABOR LAW ON FUNDAMENTAL BASES - HEALTHCARE EXPENDITURE - PUBLIC FUNDING -
EXCEL APPLICATION SOFTWARE


Module: INFORMATION PROCESSING SYSTEMS
N/D

Arguments

Module: BUSINESS ECONOMY AND ORGANIZATION



Module: LABOR LAW
N/D
Module: HEALTH MANAGEMENT



Module: INFORMATION PROCESSING SYSTEMS

  • Informatics and Data in Laboratory Activities - Role of informatics and laboratory information systems. From the biological sample to the laboratory result: data acquisition, recording, processing, validation and storage. Quality, security and traceability of information.
    • Books: Teaching materials, slides, tutorials and practical resources will be provided by the lecturer through the e-learning platform or during classes.

  • Structuring a Database in Excel - Organization of data into rows and columns. Observations, variables, coding systems, units of measurement, missing values and identifiers. Importing data from CSV files. Excel tables and common errors in database construction.
    • Books: Teaching materials, slides, tutorials and practical resources will be provided by the lecturer through the e-learning platform or during classes.

  • Data Processing and Quality Control Using Excel - Relative and absolute cell references. Basic and conditional functions. Sorting, filtering, data validation and conditional formatting. Identification of missing, duplicated, inconsistent or out-of-range values.
    • Books: Teaching materials, slides, tutorials and practical resources will be provided by the lecturer through the e-learning platform or during classes.

  • Data Summarization, Visualization and Automation -Calculation of simple descriptive indicators. Summary tables and charts. Introduction to macros: recording, running and making basic changes to an automated procedure. Security considerations when using macros.
    • Books: Teaching materials, slides, tutorials and practical resources will be provided by the lecturer through the e-learning platform or during classes.

  • From a Laboratory Problem to a Research Question - Introduction to evidence-based practice in biomedical laboratory sciences. Development of research questions using PICO, PCC and similar frameworks. Identification of key concepts, keywords and synonyms.

  • Literature Searching in Biomedical Databases - Main biomedical databases. Basic and advanced searching. Free-text keywords, controlled vocabulary and MeSH terms. Boolean operators, filters and guided development of a search strategy relevant to biomedical laboratory sciences.

  • Reference Management and Responsible Use of Digital Tools - Importing and organizing sources using a citation manager. Citation styles and source traceability. Limitations and risks of generative artificial intelligence. Privacy, healthcare data, information verification and professional responsibility.
    • Books: Teaching materials, slides, tutorials and practical resources will be provided by the lecturer through the e-learning platform or during classes.


  • Academic year2026/2027
  • Degree program to which the course belongsBiomedical Laboratory techniques - Course B - Roma Azienda S.Camillo Forlanini
  • Languageita
  • CFU5 CFU, distributed among 4 integrated didactic modules
  • Total duration50 hours