Knowledge-Based Monitoring and Therapy Planning in Intensive Care Units (ICUs)

  • S. Miksch
  • W. Horn
  • C. Popow
  • F. Paky
Part of the Intensivmedizinisches Seminar book series (INTENSIVM.SEM., volume 6)


This presentation will focus on the special applications of AI technologies in Intensive Care Units (ICUs), and here especially on knowledge-based monitoring and therapy planning systems for artificial ventilator management. Such systems span the range from raw patient signals to sophisticated control decisions, such as filtering out spurious and erroneous data (data validation), real-time operations, and the reactive reconfiguration of the monitoring process as new demands arise (therapy planning).


Neonatal Intensive Care Unit Artificial Ventilation Therapy Planning Ventilator Manager Patient Data Management System 
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]
    Arroe M (1991) A computerized aid in ventilating neonates. Computers Biol Med 21: 15–21CrossRefGoogle Scholar
  2. [2]
    Ash D, Gold G, Seiver A, Hayes-Roth B (1993) Guaranteeing real-time response with limited resources. Artificial Intelligence in Medicine 5: 49–66PubMedCrossRefGoogle Scholar
  3. [3]
    Boyarsky A (1987) Computerized ventilation management system for neonates. Journal of Perinatology 7: 21–29PubMedGoogle Scholar
  4. [4]
    Coiera E (1993) Intelligent monitoring and control of physiological systems, editorial. Artificial Intelligence in Medicine 5: 1–8PubMedCrossRefGoogle Scholar
  5. [5]
    Chambrin MC, Chopin C, Ravaux P, Mangalaboyi J, Lestavel P, Fourrier F (1989) RESPAID: Computer-aided decision support for respiratory data in ICU. Proc. Eleventh Annual Conf. IEEE Engineering in Medicine and Biology Soc., Seattle, WA.Google Scholar
  6. [6]
    Fafchamps D, Young C, Tang P (1991) Modelling work practices: Input to the design of physician’s workstation. In: Proceedings of 15th Symposium on Computer Applications in Medical Care, Washington, DC, pp 788–792Google Scholar
  7. [7]
    Fagan LM, Shortliffe EH, Buchanan BG (1980) Computer-based medical decision making: From MYCIN to VM. Automedica 3: 97–106Google Scholar
  8. [8]
    Grafinkel D, Matsiras PV, Lecky JH, Aukburg SJ, Matschinsky BB, Mavrides TG (1988) PONI: An intelligent alarm system for respiratory and circulation management in the operating room. Proc. 12th Annual Symp. Comput. Appl. Med. Care, Washington, DCGoogle Scholar
  9. [9]
    Goldsmith JP, Karotkin EH (1988) Assisted ventilation of the neonates. Saunders, PhiladelphiaGoogle Scholar
  10. [10]
    Hayes-Roth B, Washington R, Hewett M, Seiver A (1989) Intelligent monitoring and control. In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89). Morgan Kaufmann, Los Altos, CA, pp 243–249Google Scholar
  11. [11]
    Hayes-Roth B, Washington R, Ash D, Hewett M, Collinot A, Vina A, Seiver A (1992) Guardian: A prototype intelligent agent for intensive-care monitoring. Artificial Intelligence in Medicine 4: 165–185Google Scholar
  12. [12]
    Miksch S, Horn W, Popow C, Paky F (1993) VIE-VENT: Knowledge-based monitoring and therapy planning of the artificial ventilation of newborn infants. In: Proc. AIME-93, Munich, GermanyGoogle Scholar
  13. [13]
    Rutledge G, Thomsen G, Beinlich I, Farr B, Sheiner L, Fagan LM (1989) Combining qualitative and quantitative computation in a ventilator therapy planner. Proc. 13th Annual Symp. Comput. Appl. Med. Care, Washington, DCGoogle Scholar
  14. [14]
    Rutledge GW, Thomsen GE, Farr BR, Tovar MA, Polaschek JX, Beinlich IA, Sheiner LB, Fagan LM (1993) The design and implementation of a ventilator-management advisor. Artificial Intelligence in Medicine 5: 67–82PubMedCrossRefGoogle Scholar
  15. [15]
    Shortliffe EH (1991) Knowledge-based system in medicine. In: Proc. Medical Informatics Europe 1991. Springer, BerlinGoogle Scholar
  16. [16]
    Sitting DF, Pace NL, Gardner RM, Morris AH, Wallace J (1990) Clinical evaluation of computer-based respiratory care algorithms. Int. Journal of Clinical Monitoring and Computing 7: 177–185Google Scholar
  17. [17]
    Teberg AJ, Hodgman JE (1992) Survival of infants with birthweight 500–1500 g. In: Lucey JF (ed) Hot topics in neonatology. Proc. Ross Lab. Special ConferenceGoogle Scholar
  18. [18]
    Uckun S, Dawant BM (1992) Qualitative modelling as a paradigm for diagnosis and prediction in critical care environments. Artificial Intelligence in Medicine 4: 127–144CrossRefGoogle Scholar
  19. [19]
    Uckun S, Dawant BM, Lindstrom DP (1993) Model-based diagnosis in intensive care monitoring: The YAQ approach. Artificial Intelligence in Medicine 5: 31–48Google Scholar
  20. [20]
    Wickens CD (1992) Engineering psychology and human performance. Harper Collins, New YorkGoogle Scholar

Copyright information

© Springer-Verlag/Wien 1993

Authors and Affiliations

  • S. Miksch
    • 1
  • W. Horn
    • 1
    • 2
  • C. Popow
    • 3
  • F. Paky
    • 4
  1. 1.Austrian Research Institute for Artificial Intelligence (ÖFAI)Austria
  2. 2.Department of Medical Cybernetics and Artificial IntelligenceUniversity of ViennaAustria
  3. 3.Department of Pediatrics, NICUUniversity of ViennaAustria
  4. 4.Gottfried von Preyer Children’s HospitalViennaAustria

Personalised recommendations