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Jennifer C Ginestra

Showing results (1-10 of 11) with videos related to

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Annual Review of Medicine|September 14, 2021
COVID-19 Critical Illness: A Data-Driven ReviewJennifer C Ginestra, Oscar J L Mitchell, George L Anesi, et al.
Chest|January 21, 2024
Hospital-Onset Sepsis Warrants Expanded Investigation and Consideration as a Unique Clinical EntityJennifer C Ginestra, Angel O Coz Yataco, Siddharth P Dugar, et al.
Annals of the American Thoracic Society|March 21, 2022
Association of Unit Census with Delays in Antimicrobial Initiation among Ward Patients with Hospital-acquired SepsisJennifer C Ginestra, Rachel Kohn, Rebecca A Hubbard, et al.
Critical Care Medicine|March 12, 2021
A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward PatientsParth K Shah, Jennifer C Ginestra, Lyle H Ungar, et al.
Annals of the American Thoracic Society|May 11, 2023
Association of Time of Day with Delays in Antimicrobial Initiation among Ward Patients with Hospital-Onset SepsisJennifer C Ginestra, Rachel Kohn, Rebecca A Hubbard, et al.
Critical Care Explorations|November 9, 2022
Association of Time to Rapid Response Team Activation With Patient Outcomes Using a Range of Physiologic Deterioration ThresholdsOscar J L Mitchell, Stacie Neefe, Jennifer C Ginestra, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 26, 2025
Sepsis Prediction Models are Trained on Labels that Diverge from Clinician-Recommended Treatment TimesGary E Weissman, Rebecca A Hubbard, Blanca E Himes, et al.
Critical Care Medicine|May 29, 2019
Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic ShockJennifer C Ginestra, Heather M Giannini, William D Schweickert, et al.
Critical Care Medicine|August 8, 2019
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical PracticeHeather M Giannini, Jennifer C Ginestra, Corey Chivers, et al.
Resuscitation Plus|May 10, 2021
Impact of COVID-19 on inpatient clinical emergencies: A single-center experienceOscar J L Mitchell, Stacie Neefe, Jennifer C Ginestra, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Annual Review of Medicine|September 14, 2021
COVID-19 Critical Illness: A Data-Driven ReviewJennifer C Ginestra, Oscar J L Mitchell, George L Anesi, et al.
Chest|January 21, 2024
Hospital-Onset Sepsis Warrants Expanded Investigation and Consideration as a Unique Clinical EntityJennifer C Ginestra, Angel O Coz Yataco, Siddharth P Dugar, et al.
Annals of the American Thoracic Society|March 21, 2022
Association of Unit Census with Delays in Antimicrobial Initiation among Ward Patients with Hospital-acquired SepsisJennifer C Ginestra, Rachel Kohn, Rebecca A Hubbard, et al.
Critical Care Medicine|March 12, 2021
A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward PatientsParth K Shah, Jennifer C Ginestra, Lyle H Ungar, et al.
Annals of the American Thoracic Society|May 11, 2023
Association of Time of Day with Delays in Antimicrobial Initiation among Ward Patients with Hospital-Onset SepsisJennifer C Ginestra, Rachel Kohn, Rebecca A Hubbard, et al.
Critical Care Explorations|November 9, 2022
Association of Time to Rapid Response Team Activation With Patient Outcomes Using a Range of Physiologic Deterioration ThresholdsOscar J L Mitchell, Stacie Neefe, Jennifer C Ginestra, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 26, 2025
Sepsis Prediction Models are Trained on Labels that Diverge from Clinician-Recommended Treatment TimesGary E Weissman, Rebecca A Hubbard, Blanca E Himes, et al.
Critical Care Medicine|May 29, 2019
Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic ShockJennifer C Ginestra, Heather M Giannini, William D Schweickert, et al.
Critical Care Medicine|August 8, 2019
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical PracticeHeather M Giannini, Jennifer C Ginestra, Corey Chivers, et al.
Resuscitation Plus|May 10, 2021
Impact of COVID-19 on inpatient clinical emergencies: A single-center experienceOscar J L Mitchell, Stacie Neefe, Jennifer C Ginestra, et al.
Pageof 2