[HTML][HTML] Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient …

J Park, X Zhong, EN Miley, RS Rutledge, J Kakalecik… - Arthroplasty Today, 2024 - Elsevier
Abstract Background The Centers for Medicare & Medicaid Services currently incentivizes
hospitals to reduce postdischarge adverse events such as unplanned hospital readmissions …

Enhancing recovery and reducing readmissions: The impact of remote monitoring on acute postoperative care in outpatient total joint arthroplasty

MJ DeRogatis, AN Pellegrino, N Wang, M Higgins… - Journal of …, 2024 - Elsevier
Introduction Outpatient total joint arthroplasty (TJA) is gaining popularity in the United States.
With a shift towards value-based healthcare and bundled payment models, the importance …

Massachusetts' opioid limit law associated with a reduction in postoperative opioid duration among orthopedic patients

B Shuey, F Zhang, E Rosen, B Goh, NK Trad… - Health Affairs …, 2023 - academic.oup.com
Postoperative orthopedic patients are a high-risk group for receiving long-duration, large-
dosage opioid prescriptions. Rigorous evaluation of state opioid duration limit laws, enacted …

Hospital Exposure Prior to Total Hip Arthroplasty: Are Perioperative Outcomes Impacted?

T Bieganowski, JX Robin… - The Journal of Hip …, 2023 - thieme-connect.com
As demand for total hip arthroplasty (THA) continues to grow, identifying risk factors for poor
perioperative outcomes may help guide preoperative planning. Therefore, the aim of the …

Readmission Risk Prediction after Total Hip Arthroplasty Using Machine Learning and Hyperparameters Optimized with Bayesian Optimization

IY Purbasari, AP Bayuseno, RR Isnanto… - Available at SSRN … - papers.ssrn.com
Abstract Background and Objective: Readmission risk prediction system for Total Hip
Arthroplasty surgery is valuable for the proceeding of cooperative decision-making between …

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