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Patient Discharge

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Same-Day Discharge Protocol for Robot-Assisted Radical Prostatectomy: Experience of a High-Volume Referral Center.

Journal of endourology
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to minimize viral exposure and maintain the appropriate surgical treatment for oncologic patients. In thi...

Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.

Studies in health technology and informatics
Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different factors. The identification of those factors can help determine which patients are at greater risk of hospital readmission for early intervention. Ou...

Early home discharge after robot-assisted coronary artery bypass grafting.

Interactive cardiovascular and thoracic surgery
OBJECTIVES: Robot-assisted coronary artery bypass grafting (CABG) has been developed as a less invasive alternative for conventional CABG to enhance postoperative recovery, patient satisfaction and early discharge to home. Furthermore, it may provide...

[Artificial Intelligence in internal medicine : development of a model predicting length of stay for non-elective admissions].

Revue medicale suisse
Efficient management of hospitalized patients requires carefully planning each stay by taking into account patients' pathologies and hospital constraints. Therefore, the ability to accurately estimate length of stays allows for better interprofession...

Artificial neural network prediction of same-day discharge following primary total knee arthroplasty based on preoperative and intraoperative variables.

The bone & joint journal
AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- and perioperative variables to predict same-day discharge in patients undergoing total knee arthroplasty (TKA).

First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters.

Studies in health technology and informatics
INTRODUCTION: The aim of this study is to evaluate the use of a natural language processing (NLP) software to extract medication statements from unstructured medical discharge letters.

Predicting Discharge Disposition Following Meningioma Resection Using a Multi-Institutional Natural Language Processing Model.

Neurosurgery
BACKGROUND: Machine learning (ML)-based predictive models are increasingly common in neurosurgery, but typically require large databases of discrete variables for training. Natural language processing (NLP) can extract meaningful data from unstructur...

Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital.

Canadian journal of rural medicine : the official journal of the Society of Rural Physicians of Canada = Journal canadien de la medecine rurale : le journal officiel de la Societe de medecine rurale du Canada
INTRODUCTION: Medication reconciliation (MedRec) reduces the risk of preventable medication-related adverse events (ADEs). A best possible medication discharge plan (BPMDP) is a revised list of medications a patient will take when discharged from hos...

Machine intelligence for early targeted precision management and response to outbreaks of respiratory infections.

The American journal of managed care
OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare beneficiaries at risk of severe respiratory infections in community and postacute settings by (1) identifying individuals in a community setting at risk of in...