Vienna Expert System for Parenteral Nutrition of Neonates
keywords
Main objective
Parenteral Nutrition, Neonatal ICU, Knowledge-Based System
Development and evaluation of a knowledge-based system to calculate
the composition of parenteral nutrition for infants
in neonatal intensive care.
Summary
Development and evaluation of an expert system for calculate quickly and accurately the composition
of parenteral nutrition solutions (PNS) for newborn infants in neonatal intensive care.
For more details, see abstracts and papers listed below.
start date
end date
location
support
1993
System introduced into routine pratice in 1996.
2002. System continues in routine clinical use.
VIE-PNN version 5.2 is used in routine practice at two neonatological intensive care units at the Vienna University Hospital.
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
"
Calculating the daily changing composition of parenteral nutrition for small newborn infants is troublesome and time consuming routine work in neonatal intensive care. The task needs expertise and experience and is prone to inherent calculation errors. In 1996 we introduced a knowledge-based system called VIE-PNN at the neonatal intensive care unit (NICU). It supports the daily calculation of nutrition plans for combined parenteral and enteral nutrition of newborn infants utilizing textbook knowledge and clinical rules of expert neonatologists. VIE-PNN uses a HTML-based client-server architecture and is integrated into the intranet of the local patient data management system (PDMS). The system is now in daily routine use for more than 5 years at 2 NICUs. Its main benefits are considerable time savings for clinicians and an increased quality of care. The main factors for success are its ease of use, its robustness, the integration into the PDMS, and the maintainability by the clinical experts. Most important, physicians highly value the time savings the system provides.
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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.
Artif Intell Med. 2002 Mar;24(3):217-28.
"
Calculating the daily changing composition of parenteral nutrition for small newborn infants is troublesome and time consuming routine work in neonatal intensive care. The task needs expertise and experience and is prone to inherent calculation errors. We designed VIE-PNN (Vienna Expert System for Parenteral Nutrition of Neonates), a knowledge-based system (KBS) in order to reduce daily routine work and calculation errors. VIE-PNN was redesigned several times because the clinicians accepted the system only when it saved time. The most recent version of VIE-PNN uses an Hypertext Markup Language (HTML)-based client-server architecture and is integrated into the intranet of the local patient data management system. Since more than 3 years all parenteral nutrition plans are calculated using VIE-PNN. Evaluating the system's performance and the users contentedness, we compared 50 nutrition plans calculated in parallel using VIE-PNN or a hand-held calculator, retrospectively analyzed more than 5000 nutrition plans stored in VIE-PNNs database and evaluated a user questionnaire. Nutrition plans were calculated in a mean time of 2.4 versus 7.1min using VIE-PNN or the hand-held calculator. Errors and omissions in the nutrition plans were detected in 22% versus 56% and errors in the VIE-PNN's plans occurring only with interactively changed values. Reviews of stored plans show that a mean of 4 out of 16 parameters were interactively changed. VIE-PNN was well accepted. Most important reasons for the successful operation of VIE-PNN in the daily routine work were time savings and robustness of the system.
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Entry in directory: October 28 2003
Last main update: October 28 2003
VIE-PNN