OBJECTIVE If not anticipated and prearranged, hospital stay can be prolonged while the
patient awaits placement in a rehabilitation unit or skilled nursing facility following elective …

OBJECTIVE Nonroutine discharge after elective spine surgery increases healthcare costs,
negatively impacts patient satisfaction, and exposes patients to additional hospital-acquired …

Purpose An excessive amount of total hospitalization is caused by delays due to patients
waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An …

Purpose We aimed to develop a machine learning algorithm that can accurately predict
discharge placement in patients undergoing elective surgery for degenerative …

OBJECTIVE Hospital readmission contributes substantial costs to the healthcare system.
The purpose of this investigation was to create a predictive machine learning model to …

BACKGROUND CONTEXT Following spine surgery, delays in referral to rehabilitation
facilities leads to increased length of hospital stay (LOS), increases costs, more risk of …

OBJECTIVE Nonhome discharge and unplanned readmissions represent important cost
drivers following spinal fusion. The authors sought to utilize different machine learning …

Study Design. A retrospective study at a single academic institution. Objective. The purpose
of this study is to utilize machine learning to predict hospital length of stay (LOS) and …

Study Design. Retrospective case control study. Objective. To develop predictive models for
postoperative outcomes after long segment lumbar posterior spine fusion (LSLPSF) …

BACKGROUND Bundled care payment models are becoming more prevalent in
neurosurgery. Such systems place the cost of postsurgical facilities in the hands of the …