AIMC Topic: Outpatients
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Re: Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?
The Journal of urology
Sep 21, 2020
Re: Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge? by Dobbs et al.
Journal of endourology
Aug 20, 2020
Using deep learning and Twitter data to identify outpatient antibiotic misuse.
Infection control and hospital epidemiology
Jun 18, 2020
Technological Innovation in Outpatient Assistance for Chronic Liver Disease and Liver Transplant Patients During the Coronavirus Disease Outbreak: A Method to Minimize Transmission.
Clinics (Sao Paulo, Brazil)
May 29, 2020
Robotic Approach to Outpatient Inguinal Hernia Repair.
Journal of the American College of Surgeons
May 4, 2020
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor filtration. Disadvantages include startup cost and system breakdown. Surgeon education notwithstanding, we hypothesize that robotic inguinal hernia re...
Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?
Journal of endourology
Mar 26, 2020
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radical prostatectomy (RARP) in well-selected patients; however, the patient perspective of this practice has not been well explored. In this study, we exp...
Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients.
The American journal of emergency medicine
Mar 10, 2020
BACKGROUND: Low-acuity outpatients constitute the majority of emergency department (ED) patients, and these patients often experience an unpredictable length of stay (LOS). Effective LOS prediction might improve the quality of ED care and reduce ED c...
Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation.
International journal of environmental research and public health
Jan 24, 2020
Numerous societal trends are compelling a transition from inpatient to outpatient venues of care for medical rehabilitation. While there are advantages to outpatient rehabilitation (e.g., lower cost, more relevant to home and community function), the...
Triaging ophthalmology outpatient referrals with machine learning: A pilot study.
Clinical & experimental ophthalmology
Nov 14, 2019
IMPORTANCE: Triaging of outpatient referrals to ophthalmology services is required for the maintenance of patient care and appropriate resource allocation. Machine learning (ML), in particular natural language processing, may be able to assist with t...
Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score.
Diabetes care
Sep 13, 2019
OBJECTIVE: To develop and validate a novel, machine learning-derived model to predict the risk of heart failure (HF) among patients with type 2 diabetes mellitus (T2DM).
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