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de-identified electronic health record data set optum® ehr  (Optum Inc)

 
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    Structured Review

    Optum Inc de-identified electronic health record data set optum® ehr
    De Identified Electronic Health Record Data Set Optum® Ehr, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/de-identified electronic health record data set optum® ehr/product/Optum Inc
    Average 90 stars, based on 1 article reviews
    de-identified electronic health record data set optum® ehr - by Bioz Stars, 2026-06
    90/100 stars

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    Optum Inc de-identified covid-19 electronic health record (ehr) data set
    Kaplan-Meier cumulative probability of death due to <t>COVID-19</t> for (A) women and (B) men.
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    Kaplan-Meier cumulative probability of death due to COVID-19 for (A) women and (B) men.

    Journal: JMIR Public Health and Surveillance

    Article Title: Factors Associated With COVID-19 Death in the United States: Cohort Study

    doi: 10.2196/29343

    Figure Lengend Snippet: Kaplan-Meier cumulative probability of death due to COVID-19 for (A) women and (B) men.

    Article Snippet: A cohort study was conducted using data from the Optum de-identified COVID-19 electronic health record (EHR) data set; 1,271,033 adult participants were observed from February 1, 2020, to August 31, 2020, until their deaths due to COVID-19, deaths due to other reasons, or the end of the study.

    Techniques:

    Forest plot showing the hazard ratios (HRs) for each risk factor from the fully adjusted Cox proportional hazards model among COVID-19 patients (n=116,426). The values for race were separately ascertained by fitting a Cox proportional hazards model using only those with known race (n=89,027) and adjusted for all other covariates. The number of COVID-19–related deaths is slightly different from the full cohort (3136 among COVID-19 patients vs 3315 among the full cohort) due to failing or censoring on the same day as being diagnosed with COVID-19. eGFR: estimated glomerular filtration rate.

    Journal: JMIR Public Health and Surveillance

    Article Title: Factors Associated With COVID-19 Death in the United States: Cohort Study

    doi: 10.2196/29343

    Figure Lengend Snippet: Forest plot showing the hazard ratios (HRs) for each risk factor from the fully adjusted Cox proportional hazards model among COVID-19 patients (n=116,426). The values for race were separately ascertained by fitting a Cox proportional hazards model using only those with known race (n=89,027) and adjusted for all other covariates. The number of COVID-19–related deaths is slightly different from the full cohort (3136 among COVID-19 patients vs 3315 among the full cohort) due to failing or censoring on the same day as being diagnosed with COVID-19. eGFR: estimated glomerular filtration rate.

    Article Snippet: A cohort study was conducted using data from the Optum de-identified COVID-19 electronic health record (EHR) data set; 1,271,033 adult participants were observed from February 1, 2020, to August 31, 2020, until their deaths due to COVID-19, deaths due to other reasons, or the end of the study.

    Techniques: Filtration