Module CS3300-KP10

Duration

2 Semester

Turnus of offer

each summer semester

Credit points

10

Course of studies, specific fields and terms:

• Bachelor Medical Informatics 2019, compulsory, medical computer science

Classes and lectures:

• Practical eHealth (practical course, 3 SWS)
• Practical eHealth (exercise, 2 SWS)
• Informatics in Health Care - eHealth (exercise, 1 SWS)
• Informatics in Health Care - eHealth (lecture, 2 SWS)

Workload:

• 20 hours exam preparation
• 10 hours oral presentation (including preparation)
• 15 hours written report
• 50 hours work on project
• 30 hours group work
• 55 hours private studies
• 120 hours in-classroom work

Contents of teaching:

• Healthcare System (in Germany): organisation, legislation and financing
• Medical documentation and electronic patient records
• Coding of diagnoses and procedures, e.g. ICD-10 and OPS
• Diagnoses-Related Groups (in Germany) (G-DRG)
• Hospital Information System (HIS), clinical research IT, incl. data protection
• Distributed clinical systems and communication standards, including HL7 and DICOM
• Health telematics; e.g. electronic health card and health professional card
• Classifications and terminologies in medicine, including LOINC, SNOMED CT, MeSH, ...
• Decision support, e.g. knowledge-based systems, literature databases, ...
• INTERNSHIP:
• Introduction to the methods and software tools required for the project internship.
• Planning and implementation of a software project in a division of labour group work.
• Practice-relevant project topics from the field of ''hospital IT'' in general database design and implementation of ''simple'' distributed application systems with HL7 V2 - based communication interfaces for realistic scenarios.

Qualification-goals/Competencies:

• Students can explain basic structures of the German health care system and possible consequences for health IT projects.
• They can explain the goals of medical documentation and the advantages and disadvantages of structured documentation.
• They can create a relational database model for use cases (e.g. laboratory documentation) and model and implement meaningful parts according to the EAV model (Entity-Attribute-Value).
• They can explain the relevance and functionality of the diagnosis and procedure classifications ICD-10 and OPS.
• They can explain the G-DRG system both as a case classification system and as a case-mix system.
• They can name the goals, structure, and functions of a hospital information system (HIS).
• They can outline the use of the most relevant communication standards (xDT, HL7, DICOM, IHE) and implement corresponding interfaces.
• They can explain and use a communications server as a middleware component in the HIS context.
• They can sketch typical telemedical applications including challenges of health telematics in Germany.
• They can explain relevant regulations regarding data protection and security in medicine.
• You can explain the concepts 'pseudonymisation' and 'anonymisation' and present suitable measures, especially in biobank-based research IT infrastructures.
• They can name simple fact information systems and knowledge-based systems for decision support in medicine and explain their chances and risks.
• They can explain terminologies like SNOMED CT that go beyond classifications with regard to their intended use, their structural structure and their expressiveness.
• They can explain and apply the function of MeSH as a controlled vocabulary (thesaurus) with reference to recall and precision of a literature search in MEDLINE.
• They can practically implement and test concrete tasks using web services to access knowledge ressources (incl. standardized) vocabularies, for example.
• INTERNSHIP:
• They can create a suitable data model for a more complex application scenario and implement it using relational DB software.
• They can create a simple GUI, that is, generally adapt a GUI template with CRUD functionality to your database.
• They can specify and implement HL7 V2 messages for predefined tasks, communicate for specific patient data, and evaluate bilateral communication between systems.
• They can create adequate program and project documentations.
• They can solve the tasks in the team and apply the learned procedures from the modules 'Databases' and 'Software Engineering' and reach the goal of the internship on time.

Grading through:

• programming project
• Written or oral exam as announced by the examiner

Requires:

• Lab Course Software Engineering (CS2301-KP06, CS2301)
• Software Engineering (CS2300-KP06, CS2300SJ14)
• Databases (CS2700-KP04, CS2700)
• Algorithms and Data Structures (CS1001-KP08, CS1001)
• Introduction to Programming (CS1000-KP08, CS1000SJ14-MML/MI, CS1000SJ14-MIW)
• Introduction to Medical Informatics (CS1300-KP04, CS1300)

Responsible for this module:

• Prof. Dr.-Ing. Marcin Grzegorzek

Teacher:

• Institute of Medical Informatics
• Prof. Dr. rer. nat. habil. Sebastian Fudickar

Literature:

• H. Dickhaus, P. Knaup-Gregori (Hrsg.) : Medizinische Informatik deGruyter 2015 (ISBN 978-3-11-025222-4)
• P. Haas : Medizinische Informationssysteme und Elektronische Krankenakten Berlin: Springer 2005 (ISBN 978-3540204251)
• T. Lehmann : Handbuch der Medizinischen Informatik München: Hanser 2004 (ISBN 978-3-446-22701-9)
• M. Dugas, K. Schmidt. : Medizinische Informatik und Bioinformatik - Ein Kompendium für Studium und Praxis Berlin: Springer 2003 (ISBN 978-3-540-42568-7)

Language:

• offered only in German

Notes:

Last Updated:

24.07.2025