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The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians

Mayo Clinic proceedings, 2020-03, Vol.95 (3), p.476-487

2020

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Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction

Mayo Clinic proceedings, 2016-07, Vol.91 (7), p.836-848

2016

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Prediction of acute myeloid leukaemia risk in healthy individuals

Nature (London), 2018-07, Vol.559 (7714), p.400-404

2018

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Facebook language predicts depression in medical records

Proceedings of the National Academy of Sciences - PNAS, 2018-10, Vol.115 (44), p.11203-11208

2018

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Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program

Nature genetics, 2018-11, Vol.50 (11), p.1514-1523

2018

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COVID-19 Severity Is Tripled in the Diabetes Community: A Prospective Analysis of the Pandemic's Impact in Type 1 and Type 2 Diabetes

Diabetes care, 2021-02, Vol.44 (2), p.526-532

2021

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Experiences from patients in mental healthcare accessing their electronic health records: results from a cross-national survey in Estonia, Finland, Norway, and Sweden

BMC psychiatry, 2024-07, Vol.24 (1), p.481-13, Article 481

2024

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Hospital Readmission and Social Risk Factors Identified from Physician Notes

Health services research, 2018-04, Vol.53 (2), p.1110-1136

2018

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Prediction of gestational diabetes based on nationwide electronic health records

Nature medicine, 2020-01, Vol.26 (1), p.71-76

2020

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Implementing an EHR-based Screening and Referral System to Address Social Determinants of Health in Primary Care

Medical care, 2019-06, Vol.57 Suppl 6 Suppl 2 (Suppl 2), p.S133-S139

2019

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Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records

The journal of clinical endocrinology and metabolism, 2021-01, Vol.106 (1), p.153-167

2021

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Association Between Gout Flare and Subsequent Cardiovascular Events Among Patients With Gout

JAMA : the journal of the American Medical Association, 2022-08, Vol.328 (5), p.440

2022

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Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review

BMJ (Online), 2020-04, Vol.369, p.m958

2020

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Aggregation of Asian-American subgroups masks meaningful differences in health and health risks among Asian ethnicities: an electronic health record based cohort study

BMC public health, 2019-11, Vol.19 (1), p.1551-14, Article 1551

2019

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Electronic Health Records and Quality of Diabetes Care

The New England journal of medicine, 2011-09, Vol.365 (9), p.825-833

2011

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Comparing associations between frailty and mortality in hospitalised older adults with or without COVID-19 infection: a retrospective observational study using electronic health records

Age and ageing, 2021-03, Vol.50 (2), p.307-316

2021

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Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease

Diabetologia, 2021-07, Vol.64 (7), p.1504-1515

2021

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Multicomorbidity of chronic diseases and substance use disorders and their association with hospitalization: Results from electronic health records data

Drug and alcohol dependence, 2018-11, Vol.192, p.316-323

2018

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Demographics of dogs, cats, and rabbits attending veterinary practices in Great Britain as recorded in their electronic health records

BMC veterinary research, 2017-07, Vol.13 (1), p.218-13, Article 218

2017

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Using Active Choice Within the Electronic Health Record to Increase Influenza Vaccination Rates

Journal of general internal medicine : JGIM, 2017-07, Vol.32 (7), p.790-795

2017

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Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

BMJ (Online), 2021-05, Vol.373, p.n1038

2021

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Temporal Trend in Young-Onset Type 2 Diabetes-Macrovascular and Mortality Risk: Study of U.K. Primary Care Electronic Medical Records

Diabetes care, 2020-09, Vol.43 (9), p.2208-2216

2020

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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

PLoS medicine, 2018-11, Vol.15 (11), p.e1002695-e1002695

2018

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Calculating incidence rates and prevalence proportions: not as simple as it seems

BMC public health, 2019-05, Vol.19 (1), p.512-9, Article 512

2019

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The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians

Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction

Prediction of acute myeloid leukaemia risk in healthy individuals

Facebook language predicts depression in medical records

Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program

COVID-19 Severity Is Tripled in the Diabetes Community: A Prospective Analysis of the Pandemic's Impact in Type 1 and Type 2 Diabetes

Experiences from patients in mental healthcare accessing their electronic health records: results from a cross-national survey in Estonia, Finland, Norway, and Sweden

Hospital Readmission and Social Risk Factors Identified from Physician Notes

Prediction of gestational diabetes based on nationwide electronic health records

Implementing an EHR-based Screening and Referral System to Address Social Determinants of Health in Primary Care

Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records

Association Between Gout Flare and Subsequent Cardiovascular Events Among Patients With Gout

Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review

Aggregation of Asian-American subgroups masks meaningful differences in health and health risks among Asian ethnicities: an electronic health record based cohort study

Electronic Health Records and Quality of Diabetes Care

Comparing associations between frailty and mortality in hospitalised older adults with or without COVID-19 infection: a retrospective observational study using electronic health records

Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease

Multicomorbidity of chronic diseases and substance use disorders and their association with hospitalization: Results from electronic health records data

Demographics of dogs, cats, and rabbits attending veterinary practices in Great Britain as recorded in their electronic health records

GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network

Using Active Choice Within the Electronic Health Record to Increase Influenza Vaccination Rates

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Temporal Trend in Young-Onset Type 2 Diabetes-Macrovascular and Mortality Risk: Study of U.K. Primary Care Electronic Medical Records

Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

Calculating incidence rates and prevalence proportions: not as simple as it seems

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