Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records.
about
Using the electronic health record to connect primary care patients to evidence-based telephonic tobacco quitline services: a closed-loop demonstration projectSigns of the 2009 influenza pandemic in the New York-Presbyterian Hospital electronic health records.Domain Analysis of Integrated Data to Reduce Cost Associated with Liver Disease.Screening premorbid metabolic syndrome in community pharmacies: a cross-sectional descriptive study.ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.Documentation of body mass index and control of associated risk factors in a large primary care network.Screening strategies for cardiovascular disease in asymptomatic adults.Epidemiology of type 2 diabetes and cardiovascular disease: translation from population to prevention: the Kelly West award lecture 2009.A patient-centric, provider-assisted diabetes telehealth self-management intervention for urban minorities.Perceived impact of diabetes genetic risk testing among patients at high phenotypic risk for type 2 diabetes.Association between prehospital vitamin D status and hospital-acquired Clostridium difficile infections.Genetic associations with metabolic syndrome and its quantitative traits by race/ethnicity in the United StatesMetabolic syndrome among adults in New York City, 2004 New York City Health and Nutrition Examination Survey.Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.Using Automated HbA1c Testing to Detect Diabetes Mellitus in Orthopedic Inpatients and Its Effect on OutcomesAssociation between pre-hospital vitamin D status and hospital-acquired new-onset deliriumPersonalized genetic risk counseling to motivate diabetes prevention: a randomized trial.A demonstration project for using the electronic health record to identify and treat tobacco usersImpact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing.The impact of supported telemetric monitoring in people with type 2 diabetes: study protocol for a randomised controlled trialDesign of a randomized trial of diabetes genetic risk testing to motivate behavior change: the Genetic Counseling/lifestyle Change (GC/LC) Study for Diabetes Prevention.Association between prehospital vitamin D status and hospital-acquired bloodstream infectionsGenetic counseling as a tool for type 2 diabetes prevention: a genetic counseling framework for common polygenetic disorders.Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysisImproving cardiovascular outcomes using electronic health records.Rational use of electronic health records for diabetes population management.Evaluating the Use of Electronic Health Records for Type 2 Diabetes Surveillance in 2 California Counties, 2010-2014.A rule-based electronic phenotyping algorithm for detecting clinically relevant cardiovascular disease casesElectronic health record identification of prediabetes and an assessment of unmet counselling needs.Can genetic information change patient behavior to reduce Type 2 diabetes risk?Six-Year Diabetes Incidence After Genetic Risk Testing and Counseling: A Randomized Clinical Trial.Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.Red cell distribution width at hospital discharge and out-of hospital outcomes in critically ill non-cardiac vascular surgery patients
P2860
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P2860
Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records.
description
2009 nî lūn-bûn
@nan
2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Identifying primary care patie ...... ing electronic health records.
@ast
Identifying primary care patie ...... ing electronic health records.
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type
label
Identifying primary care patie ...... ing electronic health records.
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Identifying primary care patie ...... ing electronic health records.
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prefLabel
Identifying primary care patie ...... ing electronic health records.
@ast
Identifying primary care patie ...... ing electronic health records.
@en
P2860
P50
P356
P1476
Identifying primary care patie ...... ing electronic health records.
@en
P2093
Peter Shrader
P2860
P2888
P356
10.1186/1472-6963-9-170
P577
2009-09-22T00:00:00Z
P5875
P6179
1038446480