AIMC Topic: Patient Discharge

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Early prediction of functional impairment at hospital discharge in patients with osteoporotic vertebral fracture: a machine learning approach.

Scientific reports Dec 28, 2024
Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some patients experience functional disability following OVF. This study aimed to develop prediction models for new-onset functional impairment following admi...
Humans Machine Learning Male Patient Discharge Spinal Fractures Osteoporotic Fractures Female Aged Aged, 80 and over
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Predicting Early Hospital Discharge Following Revision Total Hip Arthroplasty: An Analysis of a Large National Database Using Machine Learning.

The Journal of arthroplasty Dec 9, 2024
BACKGROUND: Revision total hip arthroplasty (rTHA) was recently removed from the Medicare inpatient-only list. However, appropriate candidate selection for outpatient rTHA remains paramount. The purpose of this study was to evaluate the utility of a ...
Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning Databases, Factual United States Patient Discharge Reoperation Arthroplasty, Replacement, Hip Male Middle Aged Logistic Models
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Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.

JACC. Heart failure Oct 23, 2024
BACKGROUND: The lack of automated tools for measuring care quality limits the implementation of a national program to assess guideline-directed care in heart failure with reduced ejection fraction (HFrEF).
Natural Language Processing Patient Discharge Heart Failure Echocardiography Middle Aged Deep Learning Humans Female Male Stroke Volume Aged Aged, 80 and over
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Machine learning prediction of unexpected readmission or death after discharge from intensive care: A retrospective cohort study.

Journal of clinical anesthesia Oct 14, 2024
BACKGROUND: Intensive care units (ICUs) harbor the sickest patients with the utmost needs of medical care. Discharge from ICU needs to consider the reason for admission and stability after ICU care. Organ dysfunction or instability after ICU discharg...
Austria Patient Discharge Critical Care Patient Readmission Male Humans Middle Aged Machine Learning Cohort Studies Retrospective Studies Aged Adult Intensive Care Units Female
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Using novel machine learning tools to predict optimal discharge following transcatheter aortic valve replacement.

Archives of cardiovascular diseases Oct 5, 2024
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This st...
Humans Databases, Factual Retrospective Studies Clinical Decision-Making Female Neural Networks, Computer Machine Learning Decision Support Techniques United States Treatment Outcome Aortic Valve Stenosis Patient Discharge Transcatheter Aortic Valve Replacement Aortic Valve Predictive Value of Tests Risk Factors Male Aged Risk Assessment Aged, 80 and over Length of Stay Time Factors
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Machine learning model outperforms the ACS Risk Calculator in predicting non-home discharge following primary total knee arthroplasty.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Sep 30, 2024
PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients are still discharged to non-home locations following index surgery. The ability to accurately predict non-home discharge (NHD) following TKAs has the ...
Middle Aged Risk Assessment Patient Discharge Arthroplasty, Replacement, Knee Neural Networks, Computer Aged Machine Learning Aged, 80 and over Retrospective Studies Male Humans Female
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Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System.

Journal of medical systems Sep 18, 2024
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologies. AI-assisted clinical decision support (CDS) integrated into electronic health records (EHR) was demonstrated to have a signi...
Humans Artificial Intelligence Electronic Health Records Decision Support Systems, Clinical Patient Discharge
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From admission to discharge: a systematic review of clinical natural language processing along the patient journey.

BMC medical informatics and decision making Aug 29, 2024
BACKGROUND: Medical text, as part of an electronic health record, is an essential information source in healthcare. Although natural language processing (NLP) techniques for medical text are developing fast, successful transfer into clinical practice...
Humans Electronic Health Records Patient Admission Natural Language Processing Patient Discharge
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Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-concept.

International journal of medical informatics Aug 10, 2024
INTRODUCTION: Delays in discharging patients from Acute Medical Units hamper patient flows throughout the hospital. The decision to discharge a patient is mainly based on the patients' physiological condition, but may vary between physicians. An obje...
Female Humans Aged Patient Discharge Male Proof of Concept Study Middle Aged Machine Learning Retrospective Studies Electronic Health Records
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A systematic literature review of predicting patient discharges using statistical methods and machine learning.

Health care management science Jul 22, 2024
Discharge planning is integral to patient flow as delays can lead to hospital-wide congestion. Because a structured discharge plan can reduce hospital length of stay while enhancing patient satisfaction, this topic has caught the interest of many hea...
Patient Discharge Length of Stay Humans Time Factors Machine Learning Models, Statistical Forecasting
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