AIMC Topic: Academic Medical Centers

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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

Journal of biomedical informatics Aug 30, 2018
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) tem...
Humans Machine Learning Databases, Factual Electronic Health Records Reproducibility of Results Data Collection Time Factors Academic Medical Centers ROC Curve Linear Models Regression Analysis New York City Area Under Curve Drug Therapy Pharmaceutical Preparations
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Association of Reduced Nicotine Content Cigarettes With Smoking Behaviors and Biomarkers of Exposure Among Slow and Fast Nicotine Metabolizers: A Nonrandomized Clinical Trial.

JAMA network open Aug 24, 2018
IMPORTANCE: The US Food and Drug Administration (FDA) has announced its intention to reduce the nicotine content in combustible cigarettes but must base regulation on public health benefits. Fast nicotine metabolizers may be at risk for increased smo...
Adult Male Middle Aged Nicotine Creatinine Humans Biomarkers Female Aged Young Adult Tobacco Products Nicotinic Agonists Academic Medical Centers Philadelphia Linear Models Tobacco Use Disorder Smoking Carbon Monoxide
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Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two decades due to rising prevalence of comorbidities and broadening repertoire of nephrotoxic medications. Hospitalized patients with AKI are at higher risk for complica...
Young Adult Adult Male Middle Aged Models, Theoretical Acute Kidney Injury Electronic Health Records Female Risk Factors Hospitalization Academic Medical Centers Humans Machine Learning
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Assessing patient risk of central line-associated bacteremia via machine learning.

American journal of infection control Apr 13, 2018
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) contribute to increased morbidity, length of hospital stay, and cost. Despite progress in understanding the risk factors, there remains a need to accurately predict the risk of CLAB...
Young Adult Adult Male Middle Aged Risk Assessment Infant Case-Control Studies Adolescent Child, Preschool Child Retrospective Studies Female Infant, Newborn Aged Aged, 80 and over Humans Machine Learning Bacteremia Catheterization, Central Venous Catheter-Related Infections Academic Medical Centers Epidemiologic Methods
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Harnessing electronic medical records to advance research on multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England) Jan 9, 2018
BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known...
Biomedical Research Male Middle Aged Severity of Illness Index Natural Language Processing Humans Electronic Health Records Female Adult Multiple Sclerosis Academic Medical Centers Information Storage and Retrieval
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Mechanism for temporal changes in exercise capacity after Fontan palliation: Role of Doppler echocardiography.

American heart journal Oct 22, 2017
BACKGROUND: The objective was to better understand Doppler hemodynamics and exercise capacity in patients with Fontan palliation by delineating the hemodynamic mechanism for temporal changes in their peak oxygen consumption (V̇o).
Pulmonary Atresia Tricuspid Atresia Double Outlet Right Ventricle Echocardiography, Doppler Fontan Procedure Heart Defects, Congenital Michigan Age Factors Oxygen Consumption Exercise Test Exercise Tolerance Academic Medical Centers Male Cohort Studies Time Factors Treatment Outcome Follow-Up Studies Humans Retrospective Studies Young Adult Adult
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The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.

Applied clinical informatics May 31, 2017
OBJECTIVES: This study evaluates the accuracy and portability of a natural language processing (NLP) tool for extracting clinical findings of influenza from clinical notes across two large healthcare systems. Effectiveness is evaluated on how well NL...
Public Health Natural Language Processing Influenza, Human Academic Medical Centers Medical Informatics Humans Electronic Health Records Epidemiological Monitoring
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Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

AJR. American journal of roentgenology Jan 31, 2017
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices.
North Carolina Radiology Department, Hospital Knee Support Vector Machine Magnetic Resonance Imaging Natural Language Processing Workload Data Mining Academic Medical Centers Pattern Recognition, Automated Image Enhancement California Radiology Information Systems Humans Machine Learning Reproducibility of Results Sensitivity and Specificity
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Clinical impact of prostate biopsy undergrading in an academic and community setting.

World journal of urology Mar 1, 2016
PURPOSE: To evaluate whether the rate of Gleason score (GS) upgrade on final pathology, the rate of positive surgical margins (PSM) and the rate of biochemical recurrence (BCR) after radical prostatectomy (RP) were different if prostate biopsy (PB) w...
Community Health Centers Neoplasm Grading Switzerland Prostate Academic Medical Centers Image-Guided Biopsy Aged Biomarkers, Tumor Male Middle Aged Follow-Up Studies Magnetic Resonance Imaging Transurethral Resection of Prostate Robotics Prostatic Neoplasms Prostate-Specific Antigen Humans Prognosis Retrospective Studies Reproducibility of Results
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Real-time prediction of inpatient length of stay for discharge prioritization.

Journal of the American Medical Informatics Association : JAMIA Aug 7, 2015
OBJECTIVE: Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity managemen...
Humans Machine Learning Female Maryland Aged Adult Workload Male Workflow Middle Aged Patient Discharge Length of Stay Academic Medical Centers Hospital Administration
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