AIMC Topic: Elective Surgical Procedures

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The Impact of New Surgical Techniques on Geographical Unwarranted Variation: The Case of Benign Hysterectomy.

International journal of environmental research and public health Jun 22, 2021
Since the 1980s, the international literature has reported variations for healthcare services, especially for elective ones. Variations are positive if they reflect patient preferences, while if they do not, they are unwarranted, and thus avoidable. ...
Postoperative Complications Robotics Elective Surgical Procedures Laparoscopy Humans Hysterectomy Retrospective Studies Female
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Key Experimental Factors of Machine Learning-Based Identification of Surgery Cancellations.

Journal of healthcare engineering Feb 20, 2021
This study aimed to provide effective methods for the identification of surgeries with high cancellation risk based on machine learning models and analyze the key factors that affect the identification performance. The data covered the period from Ja...
Humans Machine Learning Elective Surgical Procedures China
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The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

The Journal of surgical research Oct 21, 2020
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Herniorrhaphy Hernia, Inguinal Adult Risk Factors Elective Surgical Procedures Aged Male Feasibility Studies Aged, 80 and over Middle Aged Patient Readmission Hospital Mortality Young Adult Risk Assessment Quality Improvement Logistic Models Humans Postoperative Complications Treatment Outcome Neural Networks, Computer Adolescent Female
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Can We Improve Prediction of Adverse Surgical Outcomes? Development of a Surgical Complexity Score Using a Novel Machine Learning Technique.

Journal of the American College of Surgeons Oct 28, 2019
BACKGROUND: An optimal method to quantify surgical complexity using patient comorbidities derived from administrative billing data is lacking. We sought to develop a novel, easy-to-use surgical Complexity Score to accurately predict adverse outcomes ...
Humans Machine Learning Male Postoperative Complications Cohort Studies Treatment Outcome Elective Surgical Procedures Forecasting Female Aged Aged, 80 and over Systems Analysis
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Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Apr 2, 2019
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 accurate preoperative prediction of who would need a RF/SNF place aft...
Patient Transfer Rehabilitation Centers Skilled Nursing Facilities Patient Discharge Spinal Stenosis Netherlands Quality Improvement Algorithms Female Aged Male Postoperative Care Humans Elective Surgical Procedures Neural Networks, Computer Lumbar Vertebrae Machine Learning Middle Aged Predictive Value of Tests
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Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.

The Journal of arthroplasty Dec 27, 2018
BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty (THA), present opportunities to apply forecasting machine learning techniques to adjust payment models to a specific patient or population. The objec...
Inpatients Elective Surgical Procedures Reproducibility of Results Humans Arthroplasty, Replacement, Hip Comorbidity Machine Learning Bayes Theorem Length of Stay Health Expenditures Algorithms ROC Curve Databases, Factual
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Machine learning modeling for predicting hospital readmission following lumbar laminectomy.

Journal of neurosurgery. Spine Dec 7, 2018
In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed predictive models to identify readmitted patients with an accuracy >95% when using all variables and >79% when using only predischarge variables. A model...
Laminectomy Registries Humans Adult Risk Factors Machine Learning Middle Aged Spinal Fusion Aged Lumbar Vertebrae Elective Surgical Procedures Patient Readmission
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Are postoperative intravenous fluids in patients undergoing elective laparoscopic cholecystectomy a necessity? A randomized clinical trial.

Surgery Dec 29, 2017
BACKGROUND: Intravenous (IV) fluid therapy should be individualized according to each patient's weight, disease, and comorbidities, as well as the type and duration of the operative procedure. Laparoscopic cholecystectomy represents one of the most c...
Gallbladder Diseases Infusions, Intravenous Elective Surgical Procedures Fluid Therapy Cholecystectomy, Laparoscopic Humans Middle Aged Female Treatment Outcome Aged Operative Time Adult Postoperative Care Male
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Classification of hospital admissions into emergency and elective care: a machine learning approach.

Health care management science Nov 25, 2017
Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate urgent admissions from non-urgent or even elective admissions is crucial. We aim to develop a model f...
Humans Machine Learning Algorithms Aged Aged, 80 and over Young Adult Infant, Newborn Hospitalization Elective Surgical Procedures Child, Preschool Adult Patient Admission Child Middle Aged Age Factors Infant Emergency Medical Services Adolescent Emergency Service, Hospital
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Comparative Study Between Conventional Fasting Versus Overnight Infusion of Lipid or Carbohydrate on Insulin and Free Fatty Acids in Obese Patients Undergoing Elective On-pump Coronary Artery Bypass Grafting. A Prospective Randomized Trial.

Journal of cardiothoracic and vascular anesthesia Nov 24, 2017
OBJECTIVES: Postoperative insulin resistance represents a major component of postoperative metabolic disorder. The authors compared the effects of preoperative infusion of lipid emulsion or carbohydrate to conventional preoperative fasting on postope...
Insulin Obesity Double-Blind Method Elective Surgical Procedures Adult Male Middle Aged Fasting Carbohydrates Fatty Acids, Nonesterified Coronary Artery Bypass Fat Emulsions, Intravenous Prospective Studies Female Humans Aged
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