AI systems in clinical practice

Acute care systems
SETH
Expert System in clinical toxicology

developed by clinical domains keywords
Rouen University Toxicology, drugs poisoning expert systems, computer assisted decision making
location commissioned status
Poison Control Centre, Rouen University Hospital, France April, 1992 Rouen University Hospital from 1992 and in external evaluation in 3 Poison Control Centres (Grenoble, Lille, Nancy).
description
The aim of SETH is to give specific advice concerning the treatment and monitoring of drug poisoning. Currently, the data base contains the 1153 most toxic or most frequently ingested French drugs from 78 different toxicological classes. The SETH expert system simulates expert reasoning, taking into account for each toxicological class, delay, clinical symptoms and ingested dose. It generates accurate monitoring and treatment advice, addressing also drug interactions and drug exceptions. The implementation of SETH began in April 1992 in our Poison Control Center. SETH was then used daily by residents as telephone response support on drug poisoning. Between April 1992 and October 1994, 2099 cases inputted by residents were analysed by SETH. Since that time three phases of evaluation have been performed. We conclude from these that an expert system in clinical toxicology is a valuable tool in the daily practice nof a Poison Control Center.
references

Darmoni SJ, Massari P, Droy JM, Mahe N, Blanc T, Moirot E, Leroy J. SETH: an expert system for the management on acute drug poisoning in adults. Comput Methods Programs Biomed. 1994 Jun;43(3-4):171-6.

[PubMed]   []

" The aim of SETH is to give end-users specific advice concerning treatment and monitoring of adult drug poisoning. SETH is developed with an off the shelf expert system shell (KBMS) and runs on a microcomputer. Technical choices were done according to this analysis, financial considerations and portability. Currently, the database contains 1000 French drugs from 75 different toxicological classes. The SETH expert system simulates the expert reasoning, taking into account for each toxicological class delay, signs and dose. Two phases of evaluation were performed. The experimental implementation of Seth began in April 1992 in our Poison Control Centre. Since then, 1100 cases inputted by residents were analysed by SETH. The extension of the knowledge base to child poisoning began in March 1993. "

Droy, J. M., Darmoni, S. J., Massari, P., Blanc, T., Moritz, F., and Leroy, J. (1993). SETH: An Expert System for the Management on Acute Drug Poisoning.

[]   [CHU-Rouen]

" The aim of SETH is to give specific advice concerning the treatment and monitoring of drug poisoning. Currently, the data base contains the 1153 most toxic or most frequently ingested French drugs from 78 different toxicological classes. The SETH expert system simulates expert reasoning, taking into account for each toxicological class, delay, clinical symptoms and ingested dose. It generates accurate monitoring and treatment advice, addressing also drug interactions and drug exceptions. The implementation of SETH began in April 1992 in our Poison Control Center. SETH is then daily used by residents as telephone response support on drug poisoning. Between April 1992 and October 1994, 2099 cases inputted by residents were analysed by SETH. Since that time three phases of evaluation have been performed. We conclude that an expert system in clinical toxicology is a valuable tool in the daily practice of a Poison Control Center (Key Words: Expert system; decision making, computer-assisted; drugs poisoning; adult; child). "

SJ. Darmoni, P. Massari, JM. Droy, E. Moirot, J. Leroy. Functional evaluation of SETH: an expert system in clinical toxicology Proceedings of the 5th Conference on Artificial Intelligence in Medicine Europe, P. Barahona, M. Stefanelli, J. Wyatt (Eds), pp 231-238 (Pavia, Italy, June 1995).

[]   []

" "

SJ. Darmoni, P. Massari, JM. Droy, T. Blanc, F. Moritz, N. Mahé, J. Leroy. From general reasoning in drug poisoning to specific attitudes in human and in SETH. Computer as an aid in poison centres, Lille, Décembre 1995.

[]   []

" "

P. Darmoni, P. Massari, JM. Droy, T. Blanc, F. Moritz, N. Mahé, J. Leroy. SETH, an expert system in drug poisoning: five years later. Computer as an aid in poison centres, Lille, December 1995.

[]   []

" "

contact links
 
acknowledgements

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: June 4 1996
Last main update: June 4 1996
Search this site
 

 

Privacy policy User agreement Copyright Feedback

Last modified:
© Copyright OpenClinical 2001-2007