Use of simulation to assess a statistically driven surgical scheduling system

Use of simulation to assess a statistically driven surgical scheduling system

To maximize operating room (OR) utilization, better estimates of case duration lengths are needed. We used computerized simulation to determine whether scheduling OR cases using a statistically driven system that incorporates patient and surgery-specific factors in the process of case duration prediction improves OR throughput and utilization. We modeled surgical and anesthetic length of vascular surgical procedures as a function of patient and operative characteristics using a multivariate linear regression approach (Predictive Modeling System [PMS]). Mean historical operative time per surgeon (HMS) and mean anesthetic time were also calculated for each procedure type. A computerized simulation of scheduling in a single OR performing vascular operations was then created using either the PMS or the HMS. Access Full Article.

Ninety-day readmission after colorectal cancer surgery in a Veterans Affairs cohort

Ninety-day readmission after colorectal cancer surgery in a Veterans Affairs cohort

Readmissions following colorectal surgery are common. However, there are limited data examining unplanned readmissions (URs) after colorectal cancer (CRC) surgery. The goal of this study was to identify reasons and predictors of UR, and to examine their clinical impact on CRC patients. A retrospective cohort study using a prospective CRC surgery database of patients treated at a VA tertiary referral center was performed (2005-2011). Ninety-day URs were recorded and classified based on reason for readmission. Clinical impact of UR was measured using a validated classification for postoperative complications. Multivariate logistic regression analyses were performed to identify predictors of UR. Access Full Article.