AI systems in clinical practice

Quality assurance and administration systems
ADE Monitor
Assists staff pharmacists with monitoring patient clinical data for potential adverse drug events (ADEs).

developed by clinical domains keywords
Washington University, St. Louis Hospital pharmacy, adverse drug events expert systems, decision support systems
location commissioned status
Barnes Hospital, St. Louis, Missouri June 1995 (prototype)  
description
A prototype of this expert system has been running since June 1995. It monitors patient clinical data including demographics, drug orders, lab results, and drug allergies, for evidence that a patient has suffered an adverse drug event. If the event is detected early enough, intervention can occur. Whether or not the event is detected in time to intervene, some types of ADEs must be reported to external agencies in order for the hospital to maintain its accreditation status.

The criteria for determining the signs that signal a potential ADE is being developed by local physicians and pharmacokinetic experts. The final version of the system will include a software application through which these experts can specify and modify the expert system rules. The system will also automate the process of reporting certain types of ADEs to government agencies such as the FDA.

Languages/Shells Used: CLIPS, Sybase ISQL scripts, Bourne shell scripts.

references

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contact links
Washington University School of Medicine
Department of Internal Medicine
Division of Medical Informatics
660 South Euclid Campus
Box 8005 St. Louis
Missouri 63110 USA.
 bullet  Medical Informatics at Washington University in St. Louis  bullet  Barnes and Jewish Hospitals, St. Louis  bullet  BJC Healthcare
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: October 27 1995
Last main update: October 27 1995
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