Comparing computer-interpretable guideline models: a case-study approach.

  title={Comparing computer-interpretable guideline models: a case-study approach.},
  author={Mor Peleg and Samson Tu and Jonathan Bury and Paolo Ciccarese and J. Fox and Robert A. Greenes and Richard L. Hall and Peter D. Johnson and Neill Jones and Anand Kumar and Silvia Miksch and Silvana Quaglini and Andreas Seyfang and Edward H. Shortliffe and Mario Stefanelli},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  volume={10 1},
OBJECTIVES Many groups are developing computer-interpretable clinical guidelines (CIGs) for use during clinical encounters. CIGs use "Task-Network Models" for representation but differ in their approaches to addressing particular modeling challenges. We have studied similarities and differences between CIGs in order to identify issues that must be resolved before a consensus on a set of common components can be developed. DESIGN We compared six models: Asbru, EON, GLIF, GUIDE, PRODIGY, and… CONTINUE READING
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