AI systems in clinical practice

Acute care systems
VIE-PNN
Vienna Expert System for Parenteral Nutrition of Neonates
Parenteral Nutrition of Neonates

developed by clinical domains keywords
The Austrian Research Institute for Artificial Intelligence (OFAI), the Department of Medical Cybernetics and Artificial Intelligence (IMKAI), and the Neonatal Intensive Care Unit (NICU) of the Department of Pedriatics of the University of Vienna. Neonatal Intensive Care Unit, Parenteral Nutrition of Neonates Expert system, decision support system
location commissioned status
Neonatal Intensive Care Unit, Department of Pedriatics of the University of Vienna; Neonatal Care Unit, University of Graz Medical School; Pediatric Clinic Glanzing, Vienna. 1993 In clinical use
description
Expert System for composition of parenteral nutrition of neonates in Intensive Care Units (ICUs).

The aim of the project was to develop an expert system representing the clinical and theoretical knowledge about the composition of parenteral nutrition solutions for newborn infants treated at neonatal intensive care units (NICUs).

Planning of an adequate nutritional support for maintaining the metabolic needs of sick newborn infants is time consuming, needs experts' knowledge and involves the risk of introducing possibly fatal errors. Recent systems used for composing parenteral nutrition solutions mainly support the calculation and the documentation process and cannot easily be adapted for neonates. Computerized expert system technology may help to develop time saving solutions to a given problem and to avoid errors within certain limits. We therefore developed an interactive expert system for calculating the composition of parenteral nutrition solutions (PNS) for newborn infants.

The knowledge base of the expert system consists of the rules for composing the PNS according to heuristic rules used at the cooperating NICU. Applying these rules, the daily fluids, electrolytes, vitamins, and nutritional requirements were calculated according to the estimated needs, the patient's body weight, the age, and the individual tolerance. The requirements were also corrected according to the daily measurements of serum electrolytes, triglycerides and protein if available. Glucose supply was adjusted depending on the type of venous access used (peripheral or central venous line), on the glucose tolerance and on the total fluid allowances. Finally, the PNS was reduced according to the proportion of oral feedings. The program works interactively asking for relevant data, calculating the PNS, and displaying the results. The physician has the choice to adjust calculated values according to special clinical requirements. The final output is a PNS schedule that can be used directly in the case history of neonates. Possible input and dosage errors are eliminated by methods of data validation using body weight and age dependent thresholds.

A knowledge acquisition module supports updating of thresholds, input of medication of new bypass and new oral feeding products. VIE-PNN was developed on an IBM compatible PC. Currently, a practical clinical evaluation of VIE-PNN is performed at the NICU, Department of Pedriatics of the University of Vienna.
references
Horn W., Popow C., Miksch S., Seyfang A.: Benefits of a Knowledge-based System for Parenteral Nutrition Support: a Report after 5 Years of Routine Daily Use, in F.van Harmelen (ed.), ECAI 2002, Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2002 (see also ÖFAI TR-2002-25).

[Austrian Research Institute for Artificial Intelligence - Abstract and paper]

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Horn, W.; Popow, C.; Miksch, S.; Kirchner, L.; Seyfang, A.: Development and Evaluation of VIE-PNN, a Knowledge-Based System for Calculating the Parenteral Nutrition of Newborn Infants, in Artificial Intelligence in Medicine, Special Issue: Knowledge-Based Systems in Routine Use: Lessons Learnt, pp. 207-218, 24(3), 2002.

[PubMed]    [AIM - paper]
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contact links

Werner Horn
Department of Medical Cybernetics and Artifical Intelligence (IMKAI)
University of Vienna

 bullet  VIE-PNN project [OC]  bullet  VIE-PNN project (Vienna)
acknowledgements
Werner Horn

Archive of AI systems in clinical practice previously administered by Enrico Coiera. Used with permission. Maintained and extended since 2001 by OpenClinical.

Entry on archive: Dec 8 1995
Last main update: June 13 2003
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