Medical Informatics

Year
1
Academic year
2025-2026
Code
02000042
Subject Area
Optional
Language of Instruction
English
Other Languages of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Programming, Data Transform, Mathematic Analysis, Statistics, Algebra, Distributed Systems, Information Systems, Data Bases.

Teaching Methods

Theoretical classes  (2 hours per week)

Presentation of the concepts, principles and fundamental techniques.

Examples of real situations to illustrate the practical interest of the techniques and its application to real cases.

Practical classes (2 hours per week)

Practical problems addressing the theoretical concepts, analysis and implementation.

Learning Outcomes

To provide the students with the main concepts and technologies to build and integrate information and decision support systems for clinical applications. Namely, the goal is to teach the main clinical informatics protocols (e.g HL7 and DICOM)  and approaches for clinical systems, architectures and technologies for telemedical health solutions (namely for pHealth systems) and diagnosis algorithms applicable for clinical decision support.

The course will contribute to the acquisition of the following competences:

Instrumental:

-   Analysis and synthesis of complex problems;

-   Problem solving, namely in the area of Medical Informatics.

Personal:

-   Team work;

-   Critical reasoning.

Systematic:

-   Self-learning

-   Research.

Work Placement(s)

No

Syllabus

Chapter I: Medical Informatics

Basic concepts in Medical Informatics

Hospital Information Systems

Chapter II: Hospital Systems

Standards for clinical information representation and transmission (ICD9/10, SNOMED, SIPE);

Electronic Patient Record (CEN 13606, openEHR, HL/ CDA)

HL7 (v2.3, v3, FHIR)

Standard DICOM

 

Chapter III: Tele-medical Systems

Services and technologies for telemedicine

Telemedicine norms  (IEEE 11073 PhD e BSM; H323, H26x, RTP/RTCP/SIP, Sensor networks)

Middlewares

Chapter IV: Algorithms for Diagnosis and Decision Support

Clinical information analysis algorithms for Clinical Decision Support 

Study of ECG and PPG.

Head Lecturer(s)

Paulo Fernando Pereira de Carvalho

Assessment Methods

Assessment
Project: 50.0%
Exam: 50.0%

Bibliography

Bibliography

Health Informatics: Practical Guide PDF, 7th  Edition, 2024;William Hersh editor

DICOM3.1 2023-Introduction and Overview; https://dicom.nema.org/medical/dicom/2023a/output/chtml/part01/PS3.1.html

HL7 2023 Annual Report; https://www.hl7.org/

FHIR HL7 Fast Healthcare Interoperability Resources, 2023 https://www.hl7.org/implement/standards/product_brief.cfm?product_id=491

SO/IEEE 11073-10421:2024-Health informatics-Device interoperability-Part 10421: Personal health device communication; https://standards.iteh.ai/catalog/standards/iso/72569800-7fdc-49f8-b890-ec40aeade40c/iso-ieee-11073-10421-2024

Secondary Bibliography

Bas Revet, DICOM Cookbook for Implementation in Modalities:Chapter 1 and 2, Philips Medical Systems, 1997

Benson, Tim, Grieve, Grahame; Principles of Health Interoperability; SNOMED CT, HL7 and FHIR;Springer,Third Edition, 2016

Get IT there, IOS PRESS, pp. 717-722, 2008 (http://www.hst.aau.dk/~ska/MIE2008/ParalleSessions/PapersForDownloads/10.Sta/SHTI136-0717