Development and testing of feed a feedback expert system for EMS documentation /
Abstract (Summary)
Emergency Medical Services (EMS) are delivered in a chaotic, dynamic, unpredictable,
and therefore error-prone environment. Deviations from protocol are common
and some may be severe enough to cause harm to the patient. EMS personnel, like all
healthcare providers, can benefit from feedback, continued education and medical oversight.
A Feedback Expert system for EMS Documentation (FEED) was developed for
providing feedback to EMS personnel after the ambulance run is completed and documented
electronically. FEED’s knowledge base was derived from Alabama State EMS
Protocols and discussions with two EMS faculty members from UAB School of Medicine.
FEED is rule-based and uses confidence factors to represent uncertainty. It obtains
data input from a Microsoft SQL Server database built according to the specifications of
the National Highway Transportation and Safety Administration. The inference engine
analyzes this input using the rules in the knowledge base and produces output in the form
of a checklist of recommended documentation for the completed run. FEED’s knowledge
base and inference engine were developed iteratively using CLIPS (C Language Integrated
Production System), an expert system development tool, and the user interface in
Visual Basic .NET. FEED was developed, tested and refined over three iterations. Testing
included local syntax checking, consistency checking, informal verification, and formal
verification and validation using two expert focus groups. One group verified
whether FEED met its requirements specifications, and another group validated its output
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using real-life patient care reports. The validation focus group revealed a sensitivity of
60% and a specificity of 85% when a cut-off value of 8.5 was chosen for FEED’s validity
rating. The review of false positives and false negatives revealed several inaccuracies in
the KB, and several potential expert errors. After appropriate corrections and revisions,
FEED’s utility could be tested in the field using a larger group of EMS providers, leading
to further refinement of all components of FEED. Ultimately, providing feedback to EMS
personnel may improve patient care in the field and provide better quality data for EMS
research.
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Bibliographical Information:
Advisor:
School:University of Alabama at Birmingham
School Location:USA - Alabama
Source Type:Master's Thesis
Keywords:emergency medical services expert systems feedback records computerized
ISBN:
Date of Publication: