Comparing Computer-interpretable Guideline Models: A Case-study Approach | Zendy

Mor Peleg | Zendy; Samson W. Tu | Zendy; Jonathan Bury | Zendy; Paolo Ciccarese | Zendy; John Fox | Zendy; Robert A. Greenes | Zendy; Richard Hall | Zendy; Peter D. Johnson | Zendy; Neill Jones | Zendy; Anand Kumar | Zendy; Silvia Miksch | Zendy; Silvana Quaglini | Zendy; Andreas Seyfang | Zendy; Edward H. Shortliffe | Zendy; Mario Stefanelli | Zendy

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Comparing Computer-interpretable Guideline Models: A Case-study Approach

Author(s) -

Mor Peleg,

Samson W. Tu,

Jonathan Bury,

Paolo Ciccarese,

John Fox,

Robert A. Greenes,

Richard Hall,

Peter D. Johnson,

Neill Jones,

Anand Kumar,

Silvia Miksch,

Silvana Quaglini,

Andreas Seyfang,

Edward H. Shortliffe,

Mario Stefanelli

Publication year - 2003

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1135

Subject(s) - guideline , computer science , representation (politics) , set (abstract data type) , task (project management) , artificial intelligence , data science , machine learning , data mining , natural language processing , medicine , political science , engineering , systems engineering , pathology , politics , law , programming language

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.

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