Modeling and prediction of surgical procedure times

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Modeling and prediction of surgical procedure times

Accurate prediction of medical operation times is of crucial importance for cost efficient operation room planning in hospitals. This paper investigates the possible dependence of procedure times on surgeon factors like age, experience, gender, and team composition. The effect of these factors is estimated for over 30 different types of medical operations in two hospitals, by means of ANOVA mod...

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Modeling the uncertainty of surgical procedure times: comparison of log-normal and normal models.

BACKGROUND Medical institutions are under increased economic pressure to schedule elective surgeries efficiently to contain the costs of surgical services. Surgical scheduling is complicated by variability inherent in the duration of surgical procedures. Modeling that variability, in turn, provides a mechanism to generate accurate time estimates. Accurate time estimates are important operationa...

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Estimating anesthesia and surgical procedure times from medicare anesthesia claims.

BACKGROUND Procedure times are important variables that often are included in studies of quality and efficiency. However, due to the need for costly chart review, most studies are limited to single-institution analyses. In this article, the authors describe how well the anesthesia claim from Medicare can estimate chart times. METHODS The authors abstracted information on time of induction and...

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Improving the Prediction of Total Surgical Procedure Time Using Linear Regression Modeling

For efficient utilization of operating rooms (ORs), accurate schedules of assigned block time and sequences of patient cases need to be made. The quality of these planning tools is dependent on the accurate prediction of total procedure time (TPT) per case. In this paper, we attempt to improve the accuracy of TPT predictions by using linear regression models based on estimated surgeon-controlle...

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Surgeon and type of anesthesia predict variability in surgical procedure times.

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ژورنال

عنوان ژورنال: Statistica Neerlandica

سال: 2010

ISSN: 0039-0402,1467-9574

DOI: 10.1111/j.1467-9574.2009.00440.x