Paper Info
Title
Performance evaluation of rule-based expert systems: An example from medical billing domain.
Abstract
Most of the research in the area of performance evaluation of rule-based expert systems (RBESs) is focused on verification and validation issues. Many researchers discuss usability, usefulness, portability, and response time for the evolution of RBES. The final goal of all such studies is to construct a system with optimal, accurate knowledge base. Arguably, a system with best knowledge base is actually worthless if it is never utilized in the real world. We have proposed benefit as a measure of evaluation and suggested some guidelines for performance evaluation of RBESs. The proposed measure has been demonstrated for performance evaluation of an RBES applied in the medical billing domain. Results showed that the system has saved hundreds of working hours during the evaluation period of 3months. Moreover, other associated measures have also been considered. Associated measures in the medical billing domain are claim rejection ratereduced by 54%and claim aging, which has decreased from 34 to 28days due to the RBES. Guidelines proposed by this research can be applied for the evaluation of expert systems implemented in other application domains, including in the first place business decision support systems.
Year
DOI
Venue
2017
10.1111/exsy.12218
EXPERT SYSTEMS
Keywords
Field
DocType
health care IT,medical billing,medical claim processing,rule-based expert system
Data mining,Verification and validation,Computer science,Usability,Expert system,Business decision mapping,Software portability,Artificial intelligence,Knowledge base,Medical billing,Rejection rate,Machine learning
Journal
Volume
Issue
ISSN
34.0
6.0
0266-4720
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Umair Abdullah110.71
Antoni Ligeza223638.35
Kashif Zafar3124.25