Premium
Using a Computerized Scheduling System to Predict Procedure Lengths
Author(s) -
Bross Bill,
Gamblin Brenda B.,
Holtzclaw Sandra Lyn,
Johnston Sue Ellen
Publication year - 1995
Publication title -
aorn journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.222
H-Index - 43
eISSN - 1878-0369
pISSN - 0001-2092
DOI - 10.1016/s0001-2092(06)63809-x
Subject(s) - scheduling (production processes) , surgical procedures , computer science , surgery , medicine , mathematics , mathematical optimization
To determine the effectiveness of our computerized OR scheduling system and database, we compared scheduled surgical procedure lengths to actual procedure lengths for a large, multispecialty sample (1,103 procedures in 14 surgical subspecialties). We were able to accurately predict procedure lengths, within 15 minutes, 65% of the time. The estimated procedure lengths were more accurate in some surgical sub‐specialties than others, and four specific factors accounted for a large percentage (ie, 84%) of all delayed start times. AORN J 61 (June 1995) 1054–1061.