Publications by authors named "Sara J Deakyne Davies"

Objectives: To investigate the relationship between language and diagnostic errors (DxE) in the pediatric emergency department (ED).

Methods: Electronic trigger identified ED encounters resulting in unplanned hospital admission that occurred within 10 days of an index visit from January 2018 through February 2022. Manual screening of each triggered encounter identified cases where the index visit diagnosis and hospitalization discharge diagnosis differed, and these were screened in for review using the Revised Safer Dx instrument to determine if a diagnostic error (DxE) occurred.

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Article Synopsis
  • Common data models standardize electronic health record (EHR) data but struggle to fully integrate the necessary resources for deep phenotyping.
  • The OMOP2OBO algorithm automates the mapping of Observational Medical Outcomes Partnership (OMOP) vocabularies to Open Biological and Biomedical Ontology (OBO) ontologies, significantly reducing the need for manual curation.
  • With OMOP2OBO, mappings for a large number of conditions, drugs, and measurements were created, facilitating the identification of undiagnosed patients in rare diseases and enhancing opportunities for EHR-based deep phenotyping.
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Patient representation learning methods create rich representations of complex data and have potential to further advance the development of computational phenotypes (CP). Currently, these methods are either applied to small predefined concept sets or all available patient data, limiting the potential for novel discovery and reducing the explainability of the resulting representations. We report on an extensive, data-driven characterization of the utility of patient representation learning methods for the purpose of CP development or automatization.

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Background: Children with glomerular disease have unique risk factors for compromised bone health. Studies addressing skeletal complications in this population are lacking.

Methods: This retrospective cohort study utilized data from PEDSnet, a national network of pediatric health systems with standardized electronic health record data for more than 6.

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Importance: Pediatric sepsis definitions have evolved, and some have proposed using the measure used in adults to quantify organ dysfunction, a Sequential Organ Failure Assessment (SOFA) score of 2 or more in the setting of suspected infection. A pediatric adaptation of SOFA (pSOFA) showed excellent discrimination for mortality in critically ill children but has not been evaluated in an emergency department (ED) population.

Objective: To delineate test characteristics of the pSOFA score for predicting in-hospital mortality among (1) all patients and (2) patients with suspected infection treated in pediatric EDs.

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Objective: In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now the largest publicly available HIPAA limited dataset in US history with over 6.4 million patients and is a testament to a partnership of over 100 organizations.

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Context: Integrating longitudinal data from community-based organizations (eg, physical activity programs) with electronic health record information can improve capacity for childhood obesity research.

Objective: A governance framework that protects individual privacy, accommodates organizational data stewardship requirements, and complies with laws and regulations was developed and implemented to support the harmonization of data from disparate clinical and community information systems.

Participants And Setting: Through the Childhood Obesity Data Initiative (CODI), 5 Colorado-based organizations collaborated to expand an existing distributed health data network (DHDN) to include community-generated data and assemble longitudinal patient records for research.

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Objective:: To use Electronic Health Record (EHR) data from the first two hours of care to derive and validate a model to predict hypotensive septic shock in children with infection.

Design:: Derivation-validation study using an existing registry

Setting:: Six emergency care sites within a regional pediatric healthcare system. Three datasets of unique visits were designated: 1.

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Objectives: Bundled pediatric sepsis care has been associated with improved outcomes in tertiary pediatric emergency departments. Sepsis care at nontertiary sites where most children seek emergency care is not well described. We sought to describe the rate of guideline-concordant care, and we hypothesized that guideline-concordant care in community pediatric emergency care settings would be associated with decreased hospital length of stay (LOS).

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Unlabelled: Severe sepsis requires timely, resource-intensive resuscitation, a challenge when a sepsis diagnosis is not confirmed. The overall goals were to create a pediatric sepsis program that provided high-quality critical care in severe sepsis (Sepsis Stat), and, in possible sepsis, flexible evaluation and treatment that promoted stewardship (Sepsis Yellow). The primary aims were to decrease time to antibiotics and the intensive care unit requirement.

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Objective: To evaluate the impact of early disseminated intravascular coagulation (DIC) on illness severity in children using a database of emergency department ED encounters for children with suspected sepsis, in view of similar associations in adults.

Study Design: Laboratory and clinical data were extracted from a registry of emergency department encounters of children with suspected sepsis between April 1, 2012, and June 26, 2017. International Society of Thrombosis and Hemostasis DIC scores were calculated from laboratory values obtained within 24 hours of emergency department admission.

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Objectives: The Colorado BMI Monitoring System was developed to assess geographic (ie, census tract) patterns of obesity prevalence rates among children and adults in the Denver-metropolitan region. This project also sought to assess the feasibility of a surveillance system that integrates data across multiple health care and governmental organizations.

Materials And Methods: We extracted data on height and weight measures, obtained through routine clinical care, from electronic health records (EHRs) at multiple health care sites.

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Objective: 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 arrival.

Study Design: This observational cohort study at 6 pediatric emergency department and urgent care sites used a training dataset (5 sites, April 1, 2013, to December 31, 2016), a temporal test set (5 sites, January 1, 2017 to June 30, 2018), and a geographic test set (a sixth site, April 1, 2013, to December 31, 2018). Patients 60 days to 18 years of age in whom clinicians suspected sepsis were included; patients with septic shock on arrival were excluded.

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Background: The patient portal interface with individual electronic health records (EHR) was introduced as a tool to enhance participatory medicine. Recent studies suggest adults from racial and ethnic minorities as well as non-English speakers face disproportionate barriers to adoption; however, little data are available for pediatric patients.

Objective: The purpose of this study was to examine patient portal offers and activation patterns among pediatric urology patients at two geographically diverse tertiary pediatric hospitals.

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Study Objective: To determine the effect of providing risk estimates of clinically important traumatic brain injuries and management recommendations on emergency department (ED) outcomes for children with isolated intermediate Pediatric Emergency Care Applied Research Network clinically important traumatic brain injury risk factors.

Methods: This was a secondary analysis of a nonrandomized clinical trial with concurrent controls, conducted at 5 pediatric and 8 general EDs between November 2011 and June 2014, enrolling patients younger than 18 years who had minor blunt head trauma. After a baseline period, intervention sites received electronic clinical decision support providing patient-level clinically important traumatic brain injury risk estimates and management recommendations.

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Background: Electronic health record (EHR)-based registries allow for robust data to be derived directly from the patient clinical record and can provide important information about processes of care delivery and patient health outcomes.

Methods: A data dictionary, and subsequent data model, were developed describing EHR data sources to include all processes of care within the emergency department (ED). ED visit data were deidentified and XML files were created and submitted to a central data coordinating center for inclusion in the registry.

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Objectives: 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 tertiary pediatric emergency care settings with sepsis pathways.

Study Design: An observational cohort study in a tertiary pediatric emergency department (ED) staffed by pediatric emergency physicians and 4 affiliated community pediatric ED/urgent care sites staffed by general pediatricians. Use of an institutional sepsis order set or pathway was considered clinician diagnosis of sepsis.

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