AIMC Topic: Patient Discharge

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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).
Female Aged Aged, 80 and over Male Humans Deep Learning Natural Language Processing Patient Discharge Heart Failure Stroke Volume Echocardiography Middle Aged
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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...
Middle Aged Cohort Studies Patient Discharge Critical Care Aged Adult Male Patient Readmission Austria Humans Machine Learning Retrospective Studies 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...
Aged, 80 and over Male Risk Assessment Length of Stay Female Risk Factors Aged Aortic Valve Predictive Value of Tests Patient Discharge Transcatheter Aortic Valve Replacement Time Factors Decision Support Techniques Humans United States Databases, Factual Neural Networks, Computer Treatment Outcome Retrospective Studies Machine Learning Aortic Valve Stenosis Clinical Decision-Making
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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 ...
Arthroplasty, Replacement, Knee Middle Aged Risk Assessment Patient Discharge Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Aged Aged, 80 and over Male
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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...
Decision Support Systems, Clinical Patient Discharge Humans Artificial Intelligence Electronic Health Records
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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...
Electronic Health Records Patient Admission Humans 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...
Humans Male Machine Learning Electronic Health Records Middle Aged Female Patient Discharge Retrospective Studies Aged Proof of Concept Study
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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...
Time Factors Humans Machine Learning Models, Statistical Patient Discharge Forecasting Length of Stay
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Translational artificial intelligence-led optimization and realization of estimated discharge with a supportive weekend interprofessional flow team (TAILORED-SWIFT).

Internal and emergency medicine Jun 22, 2024
Weekend discharges occur less frequently than discharges on weekdays, contributing to hospital congestion. Artificial intelligence algorithms have previously been derived to predict which patients are nearing discharge based upon ward round notes. In...
Humans Artificial Intelligence Algorithms Female Time Factors Patient Discharge Aged Patient Care Team Male Middle Aged
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Use of machine learning to identify protective factors for death from COVID-19 in the ICU: a retrospective study.

PeerJ Jun 12, 2024
BACKGROUND: Patients in serious condition due to COVID-19 often require special care in intensive care units (ICUs). This disease has affected over 758 million people and resulted in 6.8 million deaths worldwide. Additionally, the progression of the ...
Length of Stay SARS-CoV-2 Prognosis Adult Humans Retrospective Studies Patient Discharge Risk Factors Male Machine Learning Intensive Care Units Aged Protective Factors Middle Aged COVID-19 Female Brazil
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