Lessons learned from the comprehensive care for joint replacement model at an academic tertiary center: the good, the bad, and the ugly

DQ Chen, HK Parvataneni, EN Miley, JT Deen… - The Journal of …, 2023 - Elsevier
Background Our institution participated in the Comprehensive Care for Joint Replacement
(CJR) model from 2016 to 2020. Here we review lessons learned from a total joint …

Readmission, complication, and disposition calculators in total joint arthroplasty: a systemic review

CM Howie, SC Mears, CL Barnes… - The Journal of …, 2021 - Elsevier
Background Predictive tools are useful adjuncts in surgical planning. They help guide
patient selection, candidacy for inpatient vs outpatient surgery, and discharge disposition as …

Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery

B Saravi, A Zink, S Ülkümen… - Journal of Clinical …, 2022 - mdpi.com
Background: Decompression of the lumbar spine is one of the most common procedures
performed in spine surgery. Hospital length of stay (LOS) is a clinically relevant metric used …

Artificial intelligence-based analysis of associations between learning curve and clinical outcomes in endoscopic and microsurgical lumbar decompression surgery

B Saravi, A Zink, S Ülkümen, S Couillard-Despres… - European Spine …, 2024 - Springer
Purpose A common spine surgery procedure involves decompression of the lumbar spine.
The impact of the surgeon's learning curve on relevant clinical outcomes is currently not well …

The risk assessment and prediction tool (RAPT) score predicts discharge destination, length of stay, and postoperative mobility after total joint arthroplasty

DG LeBrun, JT Nguyen, C Fisher, S Tuohy… - The Journal of …, 2023 - Elsevier
Background Predicting an arthroplasty patient's discharge disposition, length of stay (LOS),
and physical function is helpful because it allows for preoperative patient optimization …

Machine learning prediction of length of stay in adult spinal deformity patients undergoing posterior spine fusion surgery

AS Zhang, A Veeramani, MS Quinn, D Alsoof… - Journal of Clinical …, 2021 - mdpi.com
(1) Background: Length of stay (LOS) is a commonly reported metric used to assess surgical
success, patient outcomes, and economic impact. The focus of this study is to use a variety …

[HTML][HTML] An electronic medical record–based discharge disposition tool gets bundle busted: decaying relevance of clinical data accuracy in machine learning

AS Greenstein, J Teitel, DJ Mitten, BF Ricciardi… - Arthroplasty Today, 2020 - Elsevier
Background Determining discharge disposition after total joint arthroplasty (TJA) has been a
challenge. Advances in machine learning (ML) have produced computer models that learn …

The risk assessment and prediction tool accurately predicts discharge destination after revision hip and knee arthroplasty

FF Dibra, HK Parvataneni, CF Gray… - The Journal of …, 2020 - Elsevier
Abstract Background The Risk Assessment and Prediction Tool (RAPT) was developed and
validated to predict discharge disposition after primary total hip and knee arthroplasty …

[HTML][HTML] Predictive value of the risk assessment and prediction tool (RAPT) score for primary hip and knee arthroplasty patients: a single-center study

AA Alshahwani, M Dungey, C Lillie, S Krikler… - Cureus, 2021 - ncbi.nlm.nih.gov
Abstract The Risk Assessment and Prediction Tool (RAPT) was developed to predict patient
discharge destination for arthroplasty operations. However, since Enhanced Recovery After …

Validation of a predictive tool for discharge to rehabilitation or a skilled nursing facility after TJA

D Ortiz III, CS Sicat, DE Goltz, TM Seyler… - JBJS, 2022 - journals.lww.com
Background: Cost excess in bundled payment models for total joint arthroplasty (TJA) is
driven by discharge to rehabilitation or a skilled nursing facility (SNF). A recently published …