ID:
SME0510
Duration (hours):
36
CFU:
6
SSD:
INFORMATICA
Located in:
Varese - Università degli Studi dell'Insubria
Year:
2025
Overview
Date/time interval
Primo Semestre (06/10/2025 - 09/01/2026)
Syllabus
Course Objectives
1. LEARNING OUTCOMES (DUBLIN DESCRIPTORS)
1. Knowledge and Understanding
At the end of the course, the student will have acquired:
Fundamental principles of computer science and the safe and effective use of digital systems in healthcare.
Knowledge of cybersecurity risks, personal data protection (GDPR), digital preservation, and patient privacy.
Foundations of online collaboration: secure document sharing, management of collaborative platforms, and digital communication in healthcare.
Basics of artificial intelligence, big data, and the use of scientific healthcare databases (PubMed, Cochrane, guidelines).
Essential computer tools for clinical practice and study: file management, cloud services, email, and office automation.
2. Applying Knowledge and Understanding
At the end of the course, the student will be able to:
Appropriately use computers, operating systems, browsers, and web tools for academic and clinical purposes.
Apply good cybersecurity practices (passwords, authentication, backup, encryption, protection of sensitive data).
Use digital platforms for collaboration and the sharing of clinical data in compliance with regulations.
Access, evaluate, and use scientific databases to support evidence-based clinical decision-making.
Use basic AI tools in a critical and responsible way (support for literature searches, document summarization, data analysis).
3. Making Judgements
The student will be able to:
Identify digital risks and vulnerabilities in clinical settings.
Evaluate the reliability of online scientific sources and the information systems used in healthcare.
Select appropriate digital tools according to purpose, considering ethical, privacy, and security aspects.
Recognize opportunities and limitations of AI in healthcare and dentistry.
4. Communication Skills
The student will be able to:
Communicate clinical information through digital tools clearly, securely, and professionally.
Interact effectively on collaborative academic or clinical platforms.
Use basic technical-informatic terminology to describe problems, solutions, and digital processes.
5. Learning Skills
At the end of the course, the student will have developed:
Skills to independently update their knowledge on new digital tools and emerging technologies in dentistry.
Methods for autonomous research of resources, tutorials, and technical documentation.
The ability to use computer tools to enhance studying, information management, and clinical practice.
1. Knowledge and Understanding
At the end of the course, the student will have acquired:
Fundamental principles of computer science and the safe and effective use of digital systems in healthcare.
Knowledge of cybersecurity risks, personal data protection (GDPR), digital preservation, and patient privacy.
Foundations of online collaboration: secure document sharing, management of collaborative platforms, and digital communication in healthcare.
Basics of artificial intelligence, big data, and the use of scientific healthcare databases (PubMed, Cochrane, guidelines).
Essential computer tools for clinical practice and study: file management, cloud services, email, and office automation.
2. Applying Knowledge and Understanding
At the end of the course, the student will be able to:
Appropriately use computers, operating systems, browsers, and web tools for academic and clinical purposes.
Apply good cybersecurity practices (passwords, authentication, backup, encryption, protection of sensitive data).
Use digital platforms for collaboration and the sharing of clinical data in compliance with regulations.
Access, evaluate, and use scientific databases to support evidence-based clinical decision-making.
Use basic AI tools in a critical and responsible way (support for literature searches, document summarization, data analysis).
3. Making Judgements
The student will be able to:
Identify digital risks and vulnerabilities in clinical settings.
Evaluate the reliability of online scientific sources and the information systems used in healthcare.
Select appropriate digital tools according to purpose, considering ethical, privacy, and security aspects.
Recognize opportunities and limitations of AI in healthcare and dentistry.
4. Communication Skills
The student will be able to:
Communicate clinical information through digital tools clearly, securely, and professionally.
Interact effectively on collaborative academic or clinical platforms.
Use basic technical-informatic terminology to describe problems, solutions, and digital processes.
5. Learning Skills
At the end of the course, the student will have developed:
Skills to independently update their knowledge on new digital tools and emerging technologies in dentistry.
Methods for autonomous research of resources, tutorials, and technical documentation.
The ability to use computer tools to enhance studying, information management, and clinical practice.
Course Prerequisites
None
Teaching Methods
Didactic teaching: 32 hours
Lectures (for the theoretical component);
Interactive teaching: 4 hours
Practical exercises (to enhance the ability to relate different types of knowledge and models);
Case study analysis (to improve the ability to apply knowledge and models in analyzing the challenges and opportunities posed by digital technologies in the context of complex organizations).
Remote teaching activities may be provided in the event of specific contingencies.
Lectures (for the theoretical component);
Interactive teaching: 4 hours
Practical exercises (to enhance the ability to relate different types of knowledge and models);
Case study analysis (to improve the ability to apply knowledge and models in analyzing the challenges and opportunities posed by digital technologies in the context of complex organizations).
Remote teaching activities may be provided in the event of specific contingencies.
Assessment Methods
ADMISSION RULES:
No distinction is made between attending and non-attending students. There are no preparatory activities or other tasks required to access the exam.
TYPE OF EXAM:
The exam is written, aims to assess the knowledge acquired on the topics covered during the course, and is delivered through a web platform.
EXAM PROCEDURES:
The classroom is typically traditional (not computer-equipped). Students must bring their own device (computer or tablet) with an internet connection to take the exam. Students may only use the exam website.
ASSESSMENT CRITERIA:
The exam is graded on a 30-point scale.
A multiple-choice questionnaire is administered through a dedicated platform.
It is a timed exam lasting 38 minutes.
Students receive written confirmation of their participation via email from the instructor, with specific instructions regarding the exam.
The questionnaire—accessible via a link (the same for everyone) sent by email—and the access password provided at the time of the exam includes multiple-choice questions and 2 open-ended questions, for a total of 30 questions.
1 point is awarded for each correct answer.
The questions (and their order) are distributed automatically by the system.
The instructor does not know the questions in advance.
The environment is a web platform, and navigation follows its standard structure.
At the bottom of the page, the “submit” button sends the responses.
The results of the multiple-choice section are immediately available.
If the time expires, the exam is still submitted and evaluated by the system.
The instructor can verify in real time that the exam has been submitted, but not the responses.
Only once the system is unlocked can the instructor access and download the data for evaluation.
In this phase, it is also possible to send a report with the results of the questions, which are already visible to the student.
Once the results have been reviewed, the platform may be closed and the session ended.
The questionnaire format, in its structure and timing, is considered appropriate for evaluating the learning objectives of this course. Multiple-choice questions assess specific, factual knowledge.
No distinction is made between attending and non-attending students. There are no preparatory activities or other tasks required to access the exam.
TYPE OF EXAM:
The exam is written, aims to assess the knowledge acquired on the topics covered during the course, and is delivered through a web platform.
EXAM PROCEDURES:
The classroom is typically traditional (not computer-equipped). Students must bring their own device (computer or tablet) with an internet connection to take the exam. Students may only use the exam website.
ASSESSMENT CRITERIA:
The exam is graded on a 30-point scale.
A multiple-choice questionnaire is administered through a dedicated platform.
It is a timed exam lasting 38 minutes.
Students receive written confirmation of their participation via email from the instructor, with specific instructions regarding the exam.
The questionnaire—accessible via a link (the same for everyone) sent by email—and the access password provided at the time of the exam includes multiple-choice questions and 2 open-ended questions, for a total of 30 questions.
1 point is awarded for each correct answer.
The questions (and their order) are distributed automatically by the system.
The instructor does not know the questions in advance.
The environment is a web platform, and navigation follows its standard structure.
At the bottom of the page, the “submit” button sends the responses.
The results of the multiple-choice section are immediately available.
If the time expires, the exam is still submitted and evaluated by the system.
The instructor can verify in real time that the exam has been submitted, but not the responses.
Only once the system is unlocked can the instructor access and download the data for evaluation.
In this phase, it is also possible to send a report with the results of the questions, which are already visible to the student.
Once the results have been reviewed, the platform may be closed and the session ended.
The questionnaire format, in its structure and timing, is considered appropriate for evaluating the learning objectives of this course. Multiple-choice questions assess specific, factual knowledge.
Contents
Module 1 — Computer Essentials
Hardware, software, operating systems
File and folder management, cloud storage, backup
Productivity tools (word processing, spreadsheets, presentations)
Basic computer configuration in a clinical environment
Module 2 — Online Essentials
Web browsing, search engines, and scientific search strategies
Digital identity, email management
Secure access to online services
Assessing the reliability of online healthcare information
Module 3 — IT Security
Cybersecurity risks in healthcare (malware, phishing, ransomware)
Authentication: passwords, MFA, secure credential management
Data protection and patient privacy (GDPR and healthcare context)
Device and network security
Concepts of encryption, digital preservation, and healthcare document management
Module 4 — Online Collaboration
Collaborative tools: file sharing, calendars, videoconferencing
Digital etiquette in professional communication
LMS platforms and the electronic portfolio for dentistry students
Secure management of shared clinical documents
Module 5 — Artificial Intelligence, Big Data and Healthcare Databases
Generative and non-generative AI in medicine and dentistry
Clinical applications: radiological diagnosis support, CDSS, imaging workflows
Big Data in healthcare: information flows, interoperability, digital health
Advanced literature research: PubMed, Cochrane, clinical guidelines
Ethics, limitations, and critical issues of AI in the dental field
Hardware, software, operating systems
File and folder management, cloud storage, backup
Productivity tools (word processing, spreadsheets, presentations)
Basic computer configuration in a clinical environment
Module 2 — Online Essentials
Web browsing, search engines, and scientific search strategies
Digital identity, email management
Secure access to online services
Assessing the reliability of online healthcare information
Module 3 — IT Security
Cybersecurity risks in healthcare (malware, phishing, ransomware)
Authentication: passwords, MFA, secure credential management
Data protection and patient privacy (GDPR and healthcare context)
Device and network security
Concepts of encryption, digital preservation, and healthcare document management
Module 4 — Online Collaboration
Collaborative tools: file sharing, calendars, videoconferencing
Digital etiquette in professional communication
LMS platforms and the electronic portfolio for dentistry students
Secure management of shared clinical documents
Module 5 — Artificial Intelligence, Big Data and Healthcare Databases
Generative and non-generative AI in medicine and dentistry
Clinical applications: radiological diagnosis support, CDSS, imaging workflows
Big Data in healthcare: information flows, interoperability, digital health
Advanced literature research: PubMed, Cochrane, clinical guidelines
Ethics, limitations, and critical issues of AI in the dental field
Course Language
Italian
More information
Office hours:
contact via email at sergio.moriani@uninsubria.it
.
Videoconference if needed.
contact via email at sergio.moriani@uninsubria.it
.
Videoconference if needed.
Degrees
Degrees
SCHOOL OF DENTISTRY
Single-cycle Master’s Degree (6 Years)
6 years
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People
People
Teaching staff
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