Loading...
Header Logo
Keywords
Last Name
KP Region

Connection

Search Results to Gabriel J Escobar MD

This is a "connection" page, showing the details of why an item matched the keywords from your search.

                     
                     

One or more keywords matched the following properties of Escobar, Gabriel

PropertyValue
keywords Predictive analytics
keywords Predictive modeling
overview Gabriel J. Escobar, MD, is a research scientist at the Kaiser Permanente Northern California Division of Research; director of the Division of Research Systems Research Initiative (a research program focusing on adult hospital processes and outcomes); and Regional Director for Hospital Operations Research for Kaiser Permanente Northern California, in which capacity he works to improve Kaiser Permanente's internal reporting and quality measurement. Dr. Escobar received his medical degree from Yale University School of Medicine; completed his pediatrics residency at University of California, San Francisco; and was a Robert Wood Johnson Clinical Scholar at Stanford University School of Medicine. Dr. Escobar's research now focuses on the processes and outcomes in the care of hospitalized adults. His interests include risk adjustment, predictive modeling, severity-of-illness scoring, the use of comprehensive inpatient and outpatient electronic medical records for health services research, and the use of real-time decision support tools that are embedded in the electronic record. Between 1991 and 2001, Dr. Escobar developed a research program in neonatology for Kaiser Permanente Northern California. In 2001, he began development of his current research program, and in 2009 he turned over the neonatology research program to Dr. Michael Kuzniewicz at the Division of Research so that he could focus his work on adult hospital research. Dr. Escobar also practices at the Kaiser Permanente Medical centers in Walnut Creek and Antioch, where he works in the neonatal intensive care nursery and as a hospital-based pediatrician.

One or more keywords matched the following items that are connected to Escobar, Gabriel

Item TypeName
Concept Predictive Value of Tests
Academic Article Neonatal risk scoring systems. Can they predict mortality and morbidity?
Academic Article Score for neonatal acute physiology: validation in three Kaiser Permanente neonatal intensive care units.
Academic Article Phototherapy use in jaundiced newborns in a large managed care organization: do clinicians adhere to the guideline?
Academic Article Richardson score predicts short-term adverse respiratory outcomes in newborns >/=34 weeks gestation.
Academic Article Five-year neurodevelopmental outcome of neonatal dehydration.
Academic Article Combining clinical risk factors with serum bilirubin levels to predict hyperbilirubinemia in newborns.
Academic Article Derivation and validation of a model to predict daily risk of death in hospital.
Academic Article Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record.
Academic Article Length of stay predictions: improvements through the use of automated laboratory and comorbidity variables.
Academic Article Early-onset sepsis: a predictive model based on maternal risk factors.
Academic Article Development and Implementation of an Early-Onset Sepsis Calculator to Guide Antibiotic Management in Late Preterm and Term Neonates.
Academic Article Risk factors for developing apnea after immunization in the neonatal intensive care unit.
Academic Article Revalidation of the Score for Neonatal Acute Physiology in the Vermont Oxford Network.
Academic Article Interpreting complete blood counts soon after birth in newborns at risk for sepsis.
Academic Article Is there yet any place for reagent strips in diagnosing spontaneous bacterial peritonitis in cirrhotic patients? An accuracy and cost-effectiveness study in Brazil.
Academic Article Total serum bilirubin exceeding exchange transfusion thresholds in the setting of universal screening.
Academic Article Trends in red blood cell transfusion and 30-day mortality among hospitalized patients.
Academic Article Nonelective Rehospitalizations and Postdischarge Mortality: Predictive Models Suitable for Use in Real Time.
Academic Article Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.
Academic Article Big data in health care: using analytics to identify and manage high-risk and high-cost patients.
Academic Article Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.
Grant Rapid Clinical Snapshots from the EMR among Pneumonia Patients
Academic Article Accuracy of international classification of diseases, ninth revision, codes for postpartum hemorrhage among women undergoing cesarean delivery.

Search Criteria
  • Predictive
  • analytics

© 2020 Kaiser Permanente

KP Researcher Profiles is funded by Kaiser Permanente Research.