| TBMI19 |
Medical Information Systems, 6 ECTS credits.
/Medicinska informationssystem/
For:
BME
CS
D
DAV
I
Ii
IT
Y
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Prel. scheduled
hours: 40
Rec. self-study hours: 120
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Area of Education: Medicine
Main field of studies: Biomedical Engineering
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Advancement level
(G1, G2, A): A
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Aim:
The overall aim is that students should acquire knowledge and skills in the form of structures and tools in order to be able to analyse information systems and the role of information technology in the health care sector, where continuity of care, safety, availability, quality and efficiency are contemporary keywords. After completing the course, students are expected to be able to independently:
- Explain fundamental concepts of information retrieval and discuss sources of error associated with indexing and retrieval
- Describe the structure of the MEDLINE database and the MeSH controlled vocabulary, plan and carry out searches, combine different search approaches and analyse results based on quality measures
- Model data and design databases based on simple requirement specifications
- Describe the content, structure and use of the patient record and contrast different ways of structuring record notes
- Analyse advantages and disadvantages of structured data entry in different contexts
- Relate the expected added value of the computer-based patient record to identified problem areas
- Describe the general idea of ongoing standardization efforts relating to patient record structure
- Describe how medical terminologies can be categorized and analyse how their properties influence the use in different situations
- Describe principles of formal concept representation and build ontologies with the help of ontology tools
- Search and utilise relevant literature and integrate the different parts of the course in order to elucidate and analyse problems within the area of the course
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Basic laboratory skills and computer proficiency, basic skills regarding structured and systematic problem analysis; basic knowledge of anatomy and physiology is recommended but not required
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Medical Decision Support, Medical Information Models and Ontologies, Neural Networks and Learning Systems
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Organisation:
The course is divided into three themes with scheduled lectures, laboratory experiments, and seminars; in addition, home work is required. The course requires personal commitment to and driving force for learning.
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Course contents:
- Indexing and retrieval of general medical knowledge and patient-specific information
- Search engine, search service and directory
- Measures of information quality and results of information retrieval
- MEDLINE and MeSH: search field, focus, explode, subheadings and limits
- Categorization and evaluation of information sources
- ER-modelling
- Databases: properties, structure, and use
- Regulations, structure, content and use of the medical record
- Aspects of interoperability
- Security and privacy in patient information processing
- Audit and quality assurance
- The meta concepts of concept, term, relationship and code
- Classifikation and coding
- Representation, abstraction and aggregation
- Properties of terminologies: coverage, dimensions, hierarchies, compositionality and synonymy
- Representation of medical terminology
- Interface, reference and administrative terminologies; terminology services
- Needs for and possibilities of standardization
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Course literature:
- Taylor P. From patient data to medical knowledge: the principles and practice of health informatics. Malden, MA: Blackwell Publishing; 2006
- Hersh, WR Information retrieval: a health and biomedical perspective [Electronic resource]. 2nd/3rd ed. New York:Springer; 2003/2009
- Supplementary compendium
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Examination: |
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Laboratory work
Essay assignments
Seminars
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1,5 ECTS
3,5 ECTS
1 ECTS
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Course language is English.
Department offering the course: IMT.
Director of Studies: Håkan Örman
Examiner: Håkan Örman
Link to the course homepage at the department
Course Syllabus in Swedish
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