AIMC Topic: Length of Stay

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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Reproducibility of Results Aged Aged, 80 and over Male Comorbidity Deep Learning Humans Databases, Factual Female Length of Stay Arthroplasty, Replacement, Hip Cohort Studies ROC Curve Preoperative Period United States Social Class Inpatients Health Care Costs Osteoarthritis, Hip Fees and Charges
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Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.

BioMed research international Apr 8, 2019
BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the liver have not gained wide acceptance. We decided to analyze the learning curve in the field of robotic liver surgery comparing short-term outcomes b...
Hepatectomy Learning Curve Humans Blood Loss, Surgical Patient Safety Liver Retrospective Studies Operative Time Surgeons Female Robotics Middle Aged Male Laparoscopy Postoperative Complications Robotic Surgical Procedures Length of Stay Liver Neoplasms
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Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
Humans Machine Learning Algorithms Length of Stay Patient Discharge Decision Support Techniques Critical Care Electronic Health Records Patient Readmission Female Male England
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Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

JAMA network open Mar 1, 2019
IMPORTANCE: Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores.
Patient Readmission Maryland Research Design Prognosis Female Risk Factors Hospitalization Male Middle Aged Risk Assessment Humans Length of Stay Machine Learning United States Medicare
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Lung Diseases Medicare Heart Failure Anemia Renal Insufficiency Ankle Fractures Medicaid United States Open Fracture Reduction Humans Hypertension Machine Learning Diabetes Mellitus Algorithms Male Age Factors Databases, Factual Fracture Fixation, Internal Middle Aged Female Postoperative Complications Risk Factors Length of Stay Cross-Sectional Studies Hospital Mortality
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Adult Male Middle Aged Severity of Illness Index Deep Learning Length of Stay Critical Illness Intensive Care Units Female Aged Young Adult Probability Critical Care Organ Dysfunction Scores Adolescent Hospital Mortality Longitudinal Studies Decision Making Area Under Curve Humans Databases, Factual Retrospective Studies
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The oncological and surgical safety of robot-assisted surgery in colorectal cancer: outcomes of a longitudinal prospective cohort study.

Surgical endoscopy Jan 28, 2019
BACKGROUND: Colorectal cancer is one of the most common cancers worldwide. Laparoscopic colorectal surgery (LCRS) is a frequently used modality. A new development in minimally invasive surgery is robot-assisted colorectal surgery (RACRS).
Length of Stay Incidence Follow-Up Studies Operative Time Robotics Neoplasm Staging Neoplasm Recurrence, Local Disease-Free Survival Netherlands Colectomy Margins of Excision Intraoperative Complications Aged Survival Rate Colorectal Neoplasms Male Humans Postoperative Complications Prospective Studies Female
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Defining and discriminating responders from non-responders following transurethral resection of the prostate.

Scandinavian journal of urology Jan 25, 2019
BACKGROUND: Transurethral resection of the prostate (TURP) is the reference standard surgical treatment for lower urinary tract symptoms (LUTS) related to benign prostatic enlargement. The aim of this study was to investigate the response rate follow...
Treatment Failure Logistic Models Humans Treatment Outcome Lower Urinary Tract Symptoms Prostatic Hyperplasia Urinary Catheterization Aged Transurethral Resection of Prostate Urinary Retention Male Multivariate Analysis Middle Aged Length of Stay
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Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.

International journal of cardiology Jan 19, 2019
OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases complexity increases and the population ages. This will affect healthcare systems especially with the current situation of decreased bed capacity and i...
ROC Curve Inpatients Morbidity Heart Diseases Electronic Health Records Female Male Middle Aged Length of Stay Saudi Arabia Humans Machine Learning Prognosis Retrospective Studies
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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...
Arthroplasty, Replacement, Hip Humans Machine Learning ROC Curve Algorithms Inpatients Databases, Factual Elective Surgical Procedures Reproducibility of Results Bayes Theorem Comorbidity Health Expenditures Length of Stay
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