Clinical Application of Patient Data Management Systems (PDMS): Computer-Assisted Weaning from Artificial Ventilation (KBWEAN)
Since the early sixties expert systems for weaning of patients from artificial ventilation have been designed. The general approach as well as the chosen endpoints varied widely [1–10]. Since clinical results have been published by only few groups [10, 8], the practical use of these systems appears to be very limited. Recently published data on specific parts of the weaning process are encouraging [11–14]. They reported shorter weaning periods, a diminished number of blood gases [11, 8] or a greater percent of ventilation in the zone of confort .
KeywordsTidal Volume Expert System Artificial Ventilation Airway Pressure Release Ventilation Patient Data Management System
Unable to display preview. Download preview PDF.
- Fagan LM, Kunz JC, Feigenbaum EA, Osborn JJ (1984) Extensions to the rule-based formalism for a monitoring task (VM) in rule-based expert systems (Buchanan BG, Shortliffe EH, eds.). Addison-Wesley, ReadingGoogle Scholar
- Miller PL (1985) Goal-directed critiquing by computer ventilator management. Computers and Biomedical Research 18: 422 438Google Scholar
- Hernandez-Sande C, Moret-Bonillo V, Alonso-Betanzos A (1989) ESTER: An expert system for management of respiratory weaning therapy. IEEE Transactions on Biomedical Engineering 36: 559–564Google Scholar
- Rudowski R, Frostell C, Gill H (1989) A knowledge-based support system for mechanical ventilation of the lungs. The KUSIVAR concept and prototype. Computer Methods and Programs in Biomedicine 30: 59–70Google Scholar
- Gärtner K (1992) Interaktive Beatmungsoptimierung mit dem Beratungssystem IBEUS. Biometrie and Informatik in Medizin and Biologie 23: 236–241Google Scholar
- Tobin MJ (1991) What should the clinician do when a patient “fights the ventilator”? Respiratory Care 36: 395–406Google Scholar
- Bersten AD, Rutten AJ, Vedig AE, Skowronski GA (1989) Additional work of breathing imposed by endotracheal tubes, breathing circuits, and intensive care ventilators. Crit Care Med 17Google Scholar