Search Results - "Deakyne Davies, Sara J"

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    Geospatial Monitoring of Body Mass Index: Use of Electronic Health Record Data Across Health Care Systems by Anthamatten, Peter, Thomas, Deborah S.K., Williford, Devon, Barrow, Jennifer C., Bol, Kirk A., Davidson, Arthur J., Davies, Sara J. Deakyne, Kraus, Emily McCormick, Tabano, David C., Daley, Matthew F.

    Published in Public health reports (1974) (01-03-2020)
    “…Objectives: The Colorado BMI Monitoring System was developed to assess geographic (ie, census tract) patterns of obesity prevalence rates among children and…”
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    Journal Article
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    Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival by Scott, Halden F., Colborn, Kathryn L., Sevick, Carter J., Bajaj, Lalit, Kissoon, Niranjan, Deakyne Davies, Sara J., Kempe, Allison

    Published in The Journal of pediatrics (01-02-2020)
    “…To derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital…”
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    Journal Article
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    Pediatric Sepsis in Community Emergency Care Settings: Guideline Concordance and Outcomes by Greenwald, Emily, Olds, Elizabeth, Leonard, Jan, Deakyne Davies, Sara J., Brant, Julia, Scott, Halden F.

    Published in Pediatric emergency care (01-12-2021)
    “…OBJECTIVESBundled pediatric sepsis care has been associated with improved outcomes in tertiary pediatric emergency departments. Sepsis care at nontertiary…”
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    Journal Article
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    The Sensitivity of Clinician Diagnosis of Sepsis in Tertiary and Community-Based Emergency Settings by Scott, Halden F., Greenwald, Emily E., Bajaj, Lalit, Deakyne Davies, Sara J., Brou, Lina, Kempe, Allison

    Published in The Journal of pediatrics (01-04-2018)
    “…To assess whether the risk of missed clinician diagnosis of pediatric sepsis requiring care in the intensive care unit (ICU) was greater in community vs…”
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    Journal Article
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    Disseminated Intravascular Coagulation Is an Independent Predictor of Adverse Outcomes in Children in the Emergency Department with Suspected Sepsis by Slatnick, Leonora R., Thornhill, Dianne, Deakyne Davies, Sara J., Ford, James B., Scott, Halden F., Manco-Johnson, Marilyn J., Warren, Beth Boulden

    Published in The Journal of pediatrics (01-10-2020)
    “…To evaluate the impact of early disseminated intravascular coagulation (DIC) on illness severity in children using a database of emergency department ED…”
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    Journal Article
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    Development and Validation of a Model to Predict Pediatric Septic Shock Using Data Known 2 Hours After Hospital Arrival by Scott, Halden F., Colborn, Kathryn L., Sevick, Carter J., Bajaj, Lalit, Deakyne Davies, Sara J., Fairclough, Diane, Kissoon, Niranjan, Kempe, Allison

    Published in Pediatric critical care medicine (01-01-2021)
    “…Objectives: To use electronic health record data from the first 2 hours of care to derive and validate a model to predict hypotensive septic shock in children…”
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    Journal Article
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    Providing Access: Differences in Pediatric Portal Activation Begin at Patient Check-in by Bush, Ruth A, Vemulakonda, Vijaya M, Richardson, Andrew C, Deakyne Davies, Sara J, Chiang, George J

    Published in Applied clinical informatics (01-08-2019)
    “…The patient portal interface with individual electronic health records (EHR) was introduced as a tool to enhance participatory medicine. Recent studies suggest…”
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    Journal Article
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    Managing Diagnostic Uncertainty in Pediatric Sepsis Quality Improvement with a Two-Tiered Approach by Scott, Halden F., Kempe, Allison, Deakyne Davies, Sara J., Krack, Paige, Leonard, Jan, Rolison, Elise, Mackenzie, Joan, Wathen, Beth, Bajaj, Lalit

    Published in Pediatric quality & safety (01-01-2020)
    “…Severe sepsis requires timely, resource-intensive resuscitation, a challenge when a sepsis diagnosis is not confirmed. The overall goals were to create a…”
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    Journal Article
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    Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative by Pfaff, Emily R, Girvin, Andrew T, Gabriel, Davera L, Kostka, Kristin, Morris, Michele, Palchuk, Matvey B, Lehmann, Harold P, Amor, Benjamin, Bissell, Mark, Bradwell, Katie R, Gold, Sigfried, Hong, Stephanie S, Loomba, Johanna, Manna, Amin, McMurry, Julie A, Niehaus, Emily, Qureshi, Nabeel, Walden, Anita, Zhang, Xiaohan Tanner, Zhu, Richard L, Moffitt, Richard A, Haendel, Melissa A, Chute, Christopher G, Adams, William G, Al-Shukri, Shaymaa, Anzalone, Alfred, Baghal, Ahmad, Bennett, Tellen D, Bernstam, Elmer V, Bissell, Mark M, Bush, Brian, Campion, Thomas R, Castro, Victor, Chang, Jack, Chaudhari, Deepa D, Chen, Wenjin, Chu, San, Cimino, James J, Crandall, Keith A, Crooks, Mark, Davies, Sara J Deakyne, DiPalazzo, John, Dorr, David, Eckrich, Dan, Eltinge, Sarah E, Fort, Daniel G, Golovko, George, Gupta, Snehil, Haendel, Melissa A, Hajagos, Janos G, Hanauer, David A, Harnett, Brett M, Horswell, Ronald, Huang, Nancy, Johnson, Steven G, Kahn, Michael, Khanipov, Kamil, Kieler, Curtis, Luzuriaga, Katherine Ruiz De, Maidlow, Sarah, Martinez, Ashley, Mathew, Jomol, McClay, James C, McMahan, Gabriel, Melancon, Brian, Meystre, Stephane, Miele, Lucio, Morizono, Hiroki, Pablo, Ray, Patel, Lav, Phuong, Jimmy, Popham, Daniel J, Pulgarin, Claudia, Santos, Carlos, Sarkar, Indra Neil, Sazo, Nancy, Setoguchi, Soko, Soby, Selvin, Surampalli, Sirisha, Suver, Christine, Vangala, Uma Maheswara Reddy, Visweswaran, Shyam, Oehsen, James von, Walters, Kellie M, Wiley, Laura, Williams, David A, Zai, Adrian

    “…Abstract Objective In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease…”
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    Characterizing Patient Representations for Computational Phenotyping by Callahan, Tiffany J., Stefanksi, Adrianne L., Ostendorf, Danielle M., Wyrwa, Jordan M., Davies, Sara J. Deakyne, Hripcsak, George, Hunter, Lawrence E., Kahn, Michael G.

    Published in AMIA ... Annual Symposium proceedings (29-04-2023)
    “…Patient representation learning methods create rich representations of complex data and have potential to further advance the development of computational…”
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    Journal Article
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    Characterizing Patient Representations for Computational Phenotyping by Callahan, Tiffany J, Stefanksi, Adrianne L, Ostendorf, Danielle M, Wyrwa, Jordan M, Davies, Sara J Deakyne, Hripcsak, George, Hunter, Lawrence E, Kahn, Michael G

    “…Patient representation learning methods create rich representations of complex data and have potential to further advance the development of computational…”
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    Journal Article
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