Information Retrieval Performance of Probabilistically Generated, Problem-Specific Computerized Provider Order Entry Pick-Lists: A Pilot Study | Zendy

Adam Rothschild | Zendy

Open Access

Information Retrieval Performance of Probabilistically Generated, Problem-Specific Computerized Provider Order Entry Pick-Lists: A Pilot Study

Author(s) -

Adam Rothschild

Publication year - 2005

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.m1670

Subject(s) - recall , precision and recall , computer science , order entry , order (exchange) , information retrieval , linkage (software) , data mining , algorithm , medicine , medical emergency , philosophy , linguistics , biochemistry , chemistry , finance , gene , economics

The aim of this study was to preliminarily determine the feasibility of probabilistically generating problem-specific computerized provider order entry (CPOE) pick-lists from a database of explicitly linked orders and problems from actual clinical cases.

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