Medical Information Systems, 6 credits

Medicinska informationssystem, 6 hp

TBMI19

Main field of study

Biomedical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Mikael Nyström

Director of studies or equivalent

Marcus Larsson

Education components

Preliminary scheduled hours: 58 h
Recommended self-study hours: 102 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CMED (Biomedical Imaging and Visualization) 9 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2017) 2 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CMED Biomedical Engineering, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CMED Biomedical Engineering, M Sc in Engineering (Biomedical Modelling) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla C
6MBME Biomedical Engineering, Master's Programme 1 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Medical Informatics) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla C
6CMJU Computer Science and Software Engineering, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6MDAV Computer Science, Master's programme 3 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6MICS Computer Science, Master's programme 3 (Autumn 2017) 1 2 English Linköping, Valla E
6MICS Computer Science, Master's programme 3 (Autumn 2017) 2 3 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Medical Informatics) 7 (Autumn 2017) 1, 2 2, 3 English Linköping, Valla C

Main field of study

Biomedical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Biomedical Engineering, Master's Programme
  • Computer Science and Engineering, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Biomedical Engineering, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Computer Science, Master's programme

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 laboratory skills and computer proficiency, basic skills regarding structured and systematic problem analysis; basic knowledge of anatomy and physiology is recommended but not required

Intended learning outcomes

The overall aim of the course is that students should acquire knowledge and skills in the form of structures and tools to be able to analyze information systems and the role of information technology in the health care sector. 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 analyze results based on established 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
  • Analyze advantages and disadvantages of structured data entry in different contexts
  • Relate the expected added value of the electronic health record to identified problem areas
  • Describe the general idea of standardization efforts relating to patient record structure
  • Describe how medical terminologies can be categorized and analyze 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 utilize relevant literature and integrate the different parts of the course in order to elucidate and analyze problems within the area of the course

Course content

  • 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 filters
  • Categorization and evaluation of information sources
  • ER modeling
  • Databases: properties, structure, and use
  • Regulations, structure, content, and use of the medical record
  • Aspects of interoperability
  • Security and confidentiality 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

Teaching and working methods

The course runs over the entire autumn semester and 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.

Examination

MOM1Seminars1 creditsU, G
UPG1Essay assignments3.5 creditsU, 3, 4, 5
LAB1Laboratory Work1.5 creditsU, G

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för medicinsk teknik

Director of Studies or equivalent

Marcus Larsson

Examiner

Mikael Nyström

Course website and other links

http://www.imt.liu.se/edu/courses/TBMI19/

Education components

Preliminary scheduled hours: 58 h
Recommended self-study hours: 102 h

Course literature

Additional literature

Books

  • Hersh, WR, (2003/2009) Information retrieval: a health and biomedical perspective. 2nd/3rd ed. New York:Springer
  • Taylor P., (2006) From patient data to medical knowledge: the principles and practice of health informatics. Malden (MA): Blackwell Publishing

Compendia


  • Supplementary compendium
Code Name Scope Grading scale
MOM1 Seminars 1 credits U, G
UPG1 Essay assignments 3.5 credits U, 3, 4, 5
LAB1 Laboratory Work 1.5 credits U, G

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. 

Additional literature

Books

Hersh, WR, (2003/2009) Information retrieval: a health and biomedical perspective. 2nd/3rd ed. New York:Springer
Taylor P., (2006) From patient data to medical knowledge: the principles and practice of health informatics. Malden (MA): Blackwell Publishing

Compendia

Supplementary compendium

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
LAB1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
LAB1
MOM1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
LAB1
UPG1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
LAB1
MOM1
UPG1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
X
LAB1
MOM1
UPG1

                            
2.3 System thinking
X
X
UPG1

                            
2.4 Attitudes, thought, and learning
X
X
X
MOM1
UPG1

                            
2.5 Ethics, equity, and other responsibilities
X
LAB1
MOM1
UPG1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
X
LAB1
MOM1

                            
3.2 Communications
X
X
UPG1

                            
3.3 Communication in foreign languages
X

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
X
MOM1

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management
X
LAB1

                            
4.4 Designing
X
LAB1

                            
4.5 Implementing
X
LAB1

                            
4.6 Operating

                            
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

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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