AIMC Topic: Outpatients

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Perioperative mortality and morbidity of outpatient versus inpatient robot-assisted radical prostatectomy: A propensity matched analysis.

Urologic oncology Aug 2, 2019
OBJECTIVES: To compare the early (≤30 days) postoperative mortality and morbidity in patients who underwent robot-assisted radical prostatectomy (RARP) and were discharged the same surgery day to a propensity score matched patient population of RARP ...
Retrospective Studies Aged Male Longitudinal Studies Humans Propensity Score Outpatients Prostatectomy Intraoperative Complications Inpatients Robotics Robotic Surgical Procedures Survival Analysis
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Predicting Outpatient Appointment Demand Using Machine Learning and Traditional Methods.

Journal of medical systems Jul 19, 2019
Traditional methods have long been used for clinical demand forecasting. Machine learning methods represent the next evolution in forecasting, but model choice and optimization remain challenging for achieving optimal results. To determine the best m...
Humans Academic Medical Centers Models, Theoretical Machine Learning Outpatients Waiting Lists Retrospective Studies Appointments and Schedules Time Factors Quality Improvement
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Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
Retrospective Studies Female Hospitalization Aged Humans Machine Learning Algorithms Logistic Models Support Vector Machine Longitudinal Studies Regression Analysis Sensitivity and Specificity Male Middle Aged ROC Curve Inpatients North Carolina Patient Readmission Outpatients Risk Rehabilitation Preventive Medicine
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Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy.

Journal of evaluation in clinical practice Aug 22, 2018
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispen...
Safety Management Spain Drug Prescriptions Outpatients Medication Errors Pharmacy Service, Hospital Information Technology Humans Patient Safety Attitude of Health Personnel Robotics
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Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large...
Data Anonymization Psychiatry Humans Patient Discharge Summaries Datasets as Topic Electronic Health Records Machine Learning Outpatients Diabetes Mellitus Algorithms Natural Language Processing
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Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization.

PloS one Feb 21, 2017
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy makers manage hospitals effectively, reasonably organize schedules for human resources and finances, and appropriately distribute hospital material resource...
Forecasting Computer Simulation China Humans Models, Theoretical Neural Networks, Computer Nonlinear Dynamics Office Visits Outpatients
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Use of robots in outpatient operations is a costly proposition.

Surgery Jan 6, 2017
Robotics Humans Ambulatory Surgical Procedures Outpatients
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Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients.

Medical decision making : an international journal of the Society for Medical Decision Making Aug 19, 2016
OBJECTIVE: To design a precision medicine approach aimed at exploiting significant patterns in data, in order to produce venous thromboembolism (VTE) risk predictors for cancer outpatients that might be of advantage over the currently recommended mod...
Humans Machine Learning Risk Factors Risk Assessment Neoplasms Venous Thromboembolism Lipids Antineoplastic Agents Outpatients Anticoagulants Body Mass Index Neoplasm Staging Health Status
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Characteristics of outpatient clinical summaries in the United States.

International journal of medical informatics Jun 11, 2016
In the United States, federal regulations require that outpatient practices provide a clinical summary to ensure that patients understand what transpired during their appointment and what to do before the next visit. To determine whether clinical sum...
Health Literacy Reading Meaningful Use Continuity of Patient Care Patient Discharge Electronic Health Records Comprehension United States Outpatients Natural Language Processing Humans Patient Education as Topic Physicians
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Predicting inpatient stay lasting 2 midnights or longer after robotic surgery for endometrial cancer.

Journal of minimally invasive gynecology Jan 5, 2015
OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after robotic surgery for endometrial cancer following the change in the Medicare definition of "inpatient" to include hospitalization spanning 2 midnights.
Body Mass Index Lymph Node Excision Humans Inpatients Endometrial Neoplasms Risk Factors Robotics Retrospective Studies Outpatients Aged Female Length of Stay
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