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題名 Predicting Anesthesia Times for Diagnostic and Interventional Radiological Procedures
作者 余清祥
Dexter, Franklin ; Yue, Jack C. ; Dow, Angella J.
日期 2006-05
上傳時間 19-Dec-2008 14:50:52 (UTC+8)
摘要 We studied anesthesia times for diagnostic and interventional radiology using anesthesia billing data and paper radiology logbooks. For computerized tomography and magnetic resonance imaging procedures, we tried to predict future anesthesia times by using historical anesthesia times classified by Current Procedural Terminology (CPT) codes. By this method, anesthesia times were estimated even less accurately than operating room cases. Computerized tomography and magnetic resonance imaging had many different CPT codes, most rare, and CPT codes reflected organs imaged, not scanning times. However, when, anesthesia times were estimated by expert judgment, face validity and accuracy were good. Lower and upper prediction bounds were also estimated from the expert estimates. For interventional radiology, predicting anesthesia times was challenging because few CPT codes accounted for most cases. Because interventional radiologists scheduled their elective cases into allocated time, the necessary goal was not to estimate the time to complete each case but rather the time to complete each day’s entire series of elective cases including turnover times. We determined the time of day (e.g., 4 pm) up to when interventional radiology could schedule so that on 80% of days the anesthesia team finishes no later than a specified time (e.g., 6 pm). Both diagnostic and interventional radiology results were similarly less accurate when Version 9 of the International Classifications of Diseases’ procedure codes was used instead of CPT.
關聯 Anesthesia & Analgesia, 102(5), 1491-1500
資料類型 article
DOI http://dx.doi.org/10.1213/01.ane.0000202397.90361.1b
dc.creator (作者) 余清祥zh_TW
dc.creator (作者) Dexter, Franklin ; Yue, Jack C. ; Dow, Angella J.-
dc.date (日期) 2006-05en_US
dc.date.accessioned 19-Dec-2008 14:50:52 (UTC+8)-
dc.date.available 19-Dec-2008 14:50:52 (UTC+8)-
dc.date.issued (上傳時間) 19-Dec-2008 14:50:52 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/18147-
dc.description.abstract (摘要) We studied anesthesia times for diagnostic and interventional radiology using anesthesia billing data and paper radiology logbooks. For computerized tomography and magnetic resonance imaging procedures, we tried to predict future anesthesia times by using historical anesthesia times classified by Current Procedural Terminology (CPT) codes. By this method, anesthesia times were estimated even less accurately than operating room cases. Computerized tomography and magnetic resonance imaging had many different CPT codes, most rare, and CPT codes reflected organs imaged, not scanning times. However, when, anesthesia times were estimated by expert judgment, face validity and accuracy were good. Lower and upper prediction bounds were also estimated from the expert estimates. For interventional radiology, predicting anesthesia times was challenging because few CPT codes accounted for most cases. Because interventional radiologists scheduled their elective cases into allocated time, the necessary goal was not to estimate the time to complete each case but rather the time to complete each day’s entire series of elective cases including turnover times. We determined the time of day (e.g., 4 pm) up to when interventional radiology could schedule so that on 80% of days the anesthesia team finishes no later than a specified time (e.g., 6 pm). Both diagnostic and interventional radiology results were similarly less accurate when Version 9 of the International Classifications of Diseases’ procedure codes was used instead of CPT.-
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Anesthesia & Analgesia, 102(5), 1491-1500en_US
dc.title (題名) Predicting Anesthesia Times for Diagnostic and Interventional Radiological Proceduresen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1213/01.ane.0000202397.90361.1ben_US
dc.doi.uri (DOI) http://dx.doi.org/10.1213/01.ane.0000202397.90361.1ben_US