TBMI19 Medical Information Systems 2009

Study Guide@lith

Valid for year : 2009

TBMI19	Medical Information Systems, 6 ECTS credits. /Medicinska informationssystem/ For: BME C D EI I Ii IT Y
	Prel. scheduled hours: 66 Rec. self-study hours: 94
	Area of Education: Medicine Subject area: Biomedical Engineering
	Advancement level (G1, G2, A): A
	Aim: The overall aim is that students should acquire knowledge and skills (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, availability, quality assurance and streamlining are contemporary keywords. After completing the course, students are expected to be able to independently: Explain the fundamental concepts of information retrieval and discuss sources of error associated with indexing and retrieval Briefly describe common information sources and bibliographic databases in medicine 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 compare 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 Discuss advantages and disadvantages of using controlled terminology Describe how 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 in the area of the course
	Prerequisites: (valid for students admitted to programmes within which the course is offered) Basic knowledge of anatomy and physiology, basic laboratory skills and computer proficiency, basic skills regarding structured and systematic problem analysis 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.
	Supplementary courses: Medical decision support, Neural networks and learning systems
	Organisation: The course is divided into three themes with scheduled lectures, laboratory experiments, seminars and home work. It requires personal commitment to and driving force for learning.
	Course contents: Properties of medical data - Regulations, structure, content and use of the medical record - The computer-based record - The concepts of care process and care chain - Properties of general medical knowledge and patient-specific information - Indexing of medical literature and patient information - Measures of information quality and results of information retrieval - Representation of medical terminology - Nomenclatures, classification systems and terminology projects - Security and privacy in patient information processing - Audit and quality assurance
	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 [Elektronisk resurs]. 2nd ed. New York:Springer; 2003 Supplementary compendium
	Examination:
	Laboratory work Essay assignments Seminars	1,5 ECTS 3,5 ECTS 1 ECTS


Course language is English. Department offering the course: IMT. Director of Studies: Håkan Petersson Examiner: Håkan Petersson Link to the course homepage at the department Course Syllabus in Swedish

Linköping Institute of Technology
Contact: TFK , val@tfk.liu.se Last updated: 08/16/2012