OVERVIEW

The course aims to provide students with the essential knowledge to be able to effectively enter the world of work, in the field of Medical Informatics which is constantly expanding during this period. For this reason, in-depth analysis of the concepts of programming (web services and advanced use of databases) are presented. The main constituents of health information systems are also examined in depth.

AIMS AND CONTENT

LEARNING OUTCOMES

Theoretical / practical course for in-depth analysis of medical informatics issues: interoperability, continuity of care, reuse of clinical data. Advanced tools for interactive data sharing via WEB between applications will be analyzed. Industry standards will be presented

AIMS AND LEARNING OUTCOMES

Aims:
The course aims to provide students with the ability to analyze a complex situation in a typical area of ​​Medical Informatics.
For this purpose the various components of the typical Health Information Systems are presented and discussed with both theoretical descriptions and analysis of the most recent research results in the literature.
The major industry standards on three levels are analyzed in detail: technical, semantic and process.
In parallel, practical lessons are held to examine the most recent programming tools adopted in these areas, with the aim to improve the student capacity of analysis, design, implementation and evaluation of information systems that are closer and closer to the real ones.
Learning outcomes:
- To improve computer skills, especially with regard to managed languages ​​and service-oriented architectures
- To learn the specific design methods for health information systems

PREREQUISITES

· General Informatics
· Databases
· Object-oriented languages

TEACHING METHODS

The course is developed in parallel on two tracks.
In the first, more theoretical, the various topics are presented both with traditional lessons and with analysis of the most recent scientific articles in the literature.
In the second, more practical, the teaching is implemented in a participatory way, developing together with the students more and more concrete examples of parts of data bases of significant interest in Computer Science and their interfaces (standardized) using web services.

SYLLABUS/CONTENT

Topics covered:

• Biomedical Data: Their Acquisition, Storage, and Use
• Computer Architectures and Sfotware Engineering for Health Care and Biomedicine
• Standards in Biomedical Informatics (specifically HL7 - HSSP)
• Natural Language Processing in Health Care and Biomedicine File
• Electronic Health Record Systems
• Public Health Informatics
• Health Information Infrastructure
• Consumer Health Informatics and Personal Health Records
• Telehealth
• Clinical Decision-Support Systems

• Data Models
• Relational Database
• Web Services and theri Interfaces

RECOMMENDED READING/BIBLIOGRAPHY

• Edward H. Shortliffe, James J. Cimino "Biomedical Informatics" Fourth Edition Springer 2014
• Quaglini S., Cesarelli M., Giacomini M., Pinciroli F. “E-Health - Medicina Digitale” Patron, Bologna 2017
• Eleanor McFadden “Management of Data in Clinical Trials” Wiley New York 2007
• AA.VV “Exploring Multivariate Data with the Forward Search” (Ed. Springer), 2004
• D. Bochicchio et. al., “ASP .NET 4.5 e ASP.NET MVC in C# e VB – Guida completa per lo sviluppatore” Hoepli Informatica, 2013
• J. MacLennan, Z. Tang, B. Crivat “Data Mining with Microsoft SQL Server 2008” Wiley Indianapolis 2009
• SQL Server 2012 Books Online “SQL Server 2012 Tutorials: Analysis Services – Data Mining” Microsoft Edition 2012
• Karen A. Wagner, Frances Wickham Lee, John P. Glaser “Health Care Information Systems: A practical approach for health care management” Wiley New York 2013

TEACHERS AND EXAM BOARD

Exam Board

MAURO GIACOMINI (President)

ELENA LAZAROVA

SARA MORA

LAURA PASTORINO

MARCO MASSIMO FATO (President Substitute)

LESSONS

LESSONS START

September 21th, 2020

Class schedule

HEALTH INFORMATION SYSTEMS

EXAMS

EXAM DESCRIPTION

• Written test with open questions
• Practical exercise in the laboratory
• Interview on a scientific topic

ASSESSMENT METHODS

• Evaluation of the global learning of the theoretical contents of the course
• Assessment of more specifically IT capabilities
• Evaluation of analysis and design skills on a complex topic

Exam schedule