Rationale and Objectives. Appropriateness criteria and practice guidel
ines are being developed in attempts to improve the cost-effectiveness
of medical care. The authors sought to make a set of radiology approp
riateness criteria usable for education, computer-based decision suppo
rt, and utilization review. Model Development. Sixty clinical conditio
ns from the American College of Radiology's appropriateness criteria w
ere selected. To make the information more suitable for automation, th
e names of the imaging procedures were standardized. Indexing terms we
re 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, radio
logic procedures, indexing terms, and relationships was encoded into a
standardized language for document interchange. Implementation. The 1
,956 rows in the appropriateness criteria tables for the 60 clinical c
onditions and their 212 variants were mapped into references to 163 di
stinct imaging procedures. The system's knowledge base included 301 in
dexing terms and 569 additional terms. Conclusion, Radiology appropria
teness criteria can be indexed and encoded into a form that facilitate
s their use and interchange. The use of open, internationally accepted
standards is an important step to make such knowledge portable and su
itable for integration with evolving computer-based patient record sys
tems.