Medical Information Models and Ontologies, 6 credits
Medicinska informationsmodeller och ontologier, 6 hp
TBMI03
Main field of study
Biomedical EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Håkan ÖrmanDirector of studies or equivalent
Marcus LarssonEducation components
Preliminary scheduled hours: 42 hRecommended self-study hours: 118 h
Main field of study
Biomedical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Basic knowledge of anatomy and physiology, basic knowledge of medical informatics (corresponding to Medical Information Systems)
Intended learning outcomes
This course lets the student go deeper into the area of semantic interoperability among health care information systems, i.e. the issue of communication based on the meaning of the information. The overall aim is that participants should acquire knowledge and skills in order to be able to reason about the possibilities and prerequisites for automated processing of patient data stored in disparate information systems. After completing the course, students are expected to be able to independently:
- Create information models based on given scenarios
- Discuss different ways of dividing an information system into components
- Describe different ways of interconnecting information models and ontologies
- Describe ongoing international standardization efforts and collaborative development projects
- Describe how terminologies and ontologies can be categorized and analyze the impact of their properties in different scenarios
- On a general level explain how language logics are classified and how their properties influence the creation and use of formal concept representations
- Apply tools for implementing and editing information models and ontologies
Course content
- Information models, process models, inference models, and ontologies
- openEHR and ISO/EN 13606: architecture, archetypes, and templates
- HL7 v3: RIM, CDA, and DCM
- Compound information models
- Classification, terminology, and ontology: history, properties, and applications
- Pre- and postcoordinated terminologies
- Mapping and ontology alignment
- Medical language processing
- Semantic Web(s)
- Description logics, semantics, and expressive power
- RDF, XML, and Web Ontology Language (OWL)
- SNOMED CT and IHTSDO
- Standardization: organizations, processes, and results
Teaching and working methods
The course consists of lectures, seminars, laboratory experiments, and home work.
Examination
LAB1 | Laboratory work | 3 credits | U, G |
TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för medicinsk teknikDirector of Studies or equivalent
Marcus LarssonExaminer
Håkan ÖrmanCourse website and other links
http://www.imt.liu.se/edu/courses/TBMI03Education components
Preliminary scheduled hours: 42 hRecommended self-study hours: 118 h
Course literature
Taylor P. From patient data to medical knowledge: the principles and practice of health informatics. Malden (MA): Blackwell Publishing; 2006.Komletterande kompendium
Referenslitteratur (standardiseringsdokument)
Code | Name | Scope | Grading scale |
---|---|---|---|
LAB1 | Laboratory work | 3 credits | U, G |
TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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1.2 Fundamental engineering knowledge (G1X level) |
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X
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1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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LAB1
TEN1
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1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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1.5 Insight into current research and development work |
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2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
2.1 Analytical reasoning and problem solving |
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X
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X
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LAB1
TEN1
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2.2 Experimentation, investigation, and knowledge discovery |
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X
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2.3 System thinking |
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X
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X
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LAB1
TEN1
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2.4 Attitudes, thought, and learning |
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2.5 Ethics, equity, and other responsibilities |
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
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X
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3.2 Communications |
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3.3 Communication in foreign languages |
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X
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4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
4.1 External, societal, and environmental context |
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X
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TEN1
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4.2 Enterprise and business context |
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4.3 Conceiving, system engineering and management |
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X
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LAB1
TEN1
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4.4 Designing |
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X
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LAB1
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4.5 Implementing |
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X
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LAB1
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4.6 Operating |
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5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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5.2 Economic conditions for knowledge development |
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5.3 Identification of needs, structuring and planning of research or development projects |
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5.4 Execution of research or development projects |
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5.5 Presentation and evaluation of research or development projects |
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