Modelling and Decision Support of Clinical Pathways

  • Roland Gabriel
  • Thomas Lux
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 27)


The German health care market is under a rapid rate of change, forcing especially hospitals to provide high-quality services at low costs. Appropriate measures for more effective and efficient service provision are process orientation and decision support by information technology of clinical pathway of a patient. The essential requirements are adequate modelling of clinical pathways as well as usage of adequate systems, which are capable of assisting the complete path of a patient within a hospital, and preferably also outside of it, in a digital way. To fulfil these specifications the authors present a suitable concept, which meets the challenges of well-structured clinical pathways as well as rather poorly structured diagnostic and therapeutic decisions, by interplay of process-oriented and knowledge-based hospital information systems.


Business Process Clinical Pathway Hospital Information System Treatment Path Process Orientation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bohr, N.: Prozessmanagement als Grundlage für Zertifizierungen nach EFQM und ISO. In: Braun, G., Güssow, J., Ott, R. (Hrsg.) (eds.) Prozessorientiertes Krankenhaus, Stuttgart, pp. 181–194 (2005)Google Scholar
  2. 2.
    Gabriel, R.: Wissensbasierte Systeme in der betrieblichen PraxiS. McGraw-Hill, London (1992)Google Scholar
  3. 3.
    Gabriel, R., Lux, T.: Decision Support Systeme im Krankenhaus – Aufbau eines wissensbasierten und prozessorientierten Krankenhausinformationssystems. In: Bortfeld, A., Homberger, J., Kopfer, H., Pankratz, G., Strangmeier, R. (Hrsg) (eds.) Intelligent Decision Support: Current Challenges and Approaches, Wiesbaden 2008, pp. 337–357 (2008)Google Scholar
  4. 4.
    Hellmann, W.: Klinische Pfade: Konzepte, Umsetzungen und Erfahrungen (2002)Google Scholar
  5. 5.
    Hammer, M., Champy, J.: Reengineering Work: Don’t Automate, Obliterate. Harvard Business Review 7/8, 104–112 (1990)Google Scholar
  6. 6.
    Lux, T., Schneppat, M.: Prozessorientierte und Wissensbasierte Systeme im Krankenhaus, Bochum (2007)Google Scholar
  7. 7.
    Park, Y.-J., Kim, B.-C., Chun, S.-H.: New knowledge extraction technique using probability for case-based reasoning: application to medical diagnosis. Expert Systems 23(1), 2–20 (2006)CrossRefGoogle Scholar
  8. 8.
    Prokosch, H.U.: KAS, KIS, EKA, EPA, EGA, E-Health: Ein Plädoyer gegen die babylonische Begriffsverwirrung in der Medizinischen Informatik. Informatik, Biometrie und Epidemiologie in Medizin und Biologie 32, S371–S382 (2001)Google Scholar
  9. 9.
    Sunyaev, A., Leimeister, J.M., Schweiger, A., Krcmar, H.: Integrationsarchitekturen für das Krankenhaus – Status quo und Zukunftsperspektiven. Information Management & Consulting 21(1), 28–35 (2006)Google Scholar
  10. 10.
    Zaugg, B.: Nutzen des Prozessmanagements für die Einführung eines Qualitätsmanagements. In: Braun, G., Güssow, J., Ott, R. (Hrsg.) (eds.) Prozessorientiertes Krankenhaus, Stuttgart, pp. 129–144 (2005)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • Roland Gabriel
    • 1
  • Thomas Lux
    • 1
  1. 1.Chair of Business Informatics, Competence Center eHealth RuhrUniversitätsstr. 150BochumGermany

Personalised recommendations