A multipurpose model of radiology appropriateness criteria.
OBJECTIVE
Appropriateness criteria and practice guidelines are being developed in attempts to improve the cost-effectiveness of medical care. The authors sought to make a set of radiology appropriateness criteria usable for education, computer-based decision support, and utilization review.
Sixty clinical conditions from the American College of Radiology's appropriateness criteria were selected. To make the information more suitable for automation, the names of the imaging procedures were standardized. Indexing terms were assigned to identify clinical conditions and to distinguish between each condition's variants. Semantic relationships between terms were defined. Information about the clinical conditions and variants, radiologic procedures, indexing terms, and relationships was encoded into a standardized language for document interchange.


METHODS
The 1,956 rows in the appropriateness criteria tables for the 60 clinical conditions and their 212 variants were mapped into references to 163 distinct imaging procedures. The system's knowledge base included 301 indexing terms and 569 additional terms.


CONCLUSIONS
Radiology appropriateness criteria can be indexed and encoded into a form that facilitates their use and interchange. The use of open, internationally accepted standards is an important step to make such knowledge portable and suitable for integration with evolving computer-based patient record systems.
Kahn
C E
CE
Department of Radiology, Medical College of Wisconsin, Milwaukee 53226, USA.
Pingree
M J
MJ
Longworth
N J
NJ
D003205:Computing Methodologies; D003658:Decision Making, Computer-Assisted; D003952:Diagnostic Imaging / Q000706:statistics & numerical data*; D006801:Humans; D017410:Practice Guidelines as Topic