20810370 - Digital health

To let the student know the fundamental principles about health systems and health policies; acquire basic knowledge about information systems with a focus on digital technologies and their application in health care; acquire health management concepts, with a focus on patient data management, process management and information system management in health care.

Curriculum

teacher profile | teaching materials

Programme

Part 1 – Healthcare organization and financing models (18 hours: 12 theory + 6 practical)
- Medical terminology
- Models of healthcare systems (Beveridge, Bismarck, mixed)
- Italian National Health Service (SSN): structure, Local Health Authorities (ASL), Hospital Authorities (AO)
- Accreditation of healthcare facilities
- Classification of services: inpatient vs outpatient
- Financing mechanisms: DRG (Diagnosis-Related Groups), tariff nomenclature

Part 2 – Health information systems and Health data management (16 hours: 10 theory + 6 practical)
- Architecture of Health Information Systems
- E-R (Entity-Relationship) models and application to healthcare databases
- Electronic Health Record (EHR), Electronic Health File (FSE)
- Datasets, classifications, interoperability standards (ICD, HL7, FHIR, DICOM)

Part 3 – Digital Technologies in Healthcare (14 hours: theory and case studies)
- Clinical Decision Support Systems and AI in healthcare
- Machine learning and data mining of health data
- Telemedicine, mobile health (mHealth), personalised medicine

Part 4 – Medical Devices: technologies and regulations (12 hours: 6 theory + 6 practical)
- Classification (CND – National Classification of Medical Devices, GMDN – Global Medical Device Nomenclature)
- Evaluation of equipment specifications
- MDR Regulation, CE marking, integration into Health Information Systems

Part 5 – Management and evaluation of health technologies** (12 hours: 6 theory + 6 practical)
- Life Cycle Cost Analysis (LCCA) for biomedical equipment
- Health Technology Assessment (HTA): tools, effectiveness indicators
- Risk management: classification, matrices, indices

Core Documentation

Slides, exercises and other material freely available for students on the University learning platform.


Reference Bibliography

Further readings: - F. Pinciroli, S. Bonacina. Applicazioni di Sanità Digitale, Polipress, ISBN: 887398049X - F. Pinciroli, M. Masseroli. Elementi di Informatica Biomedica, ISBN: 8873980171

Type of delivery of the course

Frontal theory lessons (60%) Guided exercises (40%)

Attendance

Course attendance is optional. It is recommended to attend the classes for a more effective learning.

Type of evaluation

You can choose whether to participate to the intermediate evaluations. In case of participation to intermediate evaluations: 2 Intermediate evaluations. For each intermediate evaluation (total duration 2 hrs, written exam): exercises, short essay questions, multiple-choice questions. An optional interview after the evaluation can be performed on request. In case of participation to the traditional exam: Written part (total duration 2 hrs): exercises, short essay questions. Oral interview (at least two questions).

teacher profile | teaching materials

Programme

Part 1 – Healthcare organization and financing models (18 hours: 12 theory + 6 practical)
- Medical terminology
- Models of healthcare systems (Beveridge, Bismarck, mixed)
- Italian National Health Service (SSN): structure, Local Health Authorities (ASL), Hospital Authorities (AO)
- Accreditation of healthcare facilities
- Classification of services: inpatient vs outpatient
- Financing mechanisms: DRG (Diagnosis-Related Groups), tariff nomenclature

Part 2 – Health information systems and Health data management (16 hours: 10 theory + 6 practical)
- Architecture of Health Information Systems
- E-R (Entity-Relationship) models and application to healthcare databases
- Electronic Health Record (EHR), Electronic Health File (FSE)
- Datasets, classifications, interoperability standards (ICD, HL7, FHIR, DICOM)

Part 3 – Digital Technologies in Healthcare (14 hours: theory and case studies)
- Clinical Decision Support Systems and AI in healthcare
- Machine learning and data mining of health data
- Telemedicine, mobile health (mHealth), personalised medicine

Part 4 – Medical Devices: technologies and regulations (12 hours: 6 theory + 6 practical)
- Classification (CND – National Classification of Medical Devices, GMDN – Global Medical Device Nomenclature)
- Evaluation of equipment specifications
- MDR Regulation, CE marking, integration into Health Information Systems

Part 5 – Management and evaluation of health technologies** (12 hours: 6 theory + 6 practical)
- Life Cycle Cost Analysis (LCCA) for biomedical equipment
- Health Technology Assessment (HTA): tools, effectiveness indicators
- Risk management: classification, matrices, indices

Core Documentation

Slides, exercises and other material freely available for students on the University learning platform.


Reference Bibliography

Further readings: - F. Pinciroli, S. Bonacina. Applicazioni di Sanità Digitale, Polipress, ISBN: 887398049X - F. Pinciroli, M. Masseroli. Elementi di Informatica Biomedica, ISBN: 8873980171

Type of delivery of the course

Frontal theory lessons (60%) Guided exercises (40%)

Attendance

Course attendance is optional. It is recommended to attend the classes for a more effective learning.

Type of evaluation

You can choose whether to participate to the intermediate evaluations. In case of participation to intermediate evaluations: 2 Intermediate evaluations. For each intermediate evaluation (total duration 2 hrs, written exam): exercises, short essay questions, multiple-choice questions. An optional interview after the evaluation can be performed on request. In case of participation to the traditional exam: Written part (total duration 2 hrs): exercises, short essay questions. Oral interview (at least two questions).