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Jason N Kennedy

Showing results (21-30 of 41) with videos related to

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JAMA Network Open|February 22, 2021
Feasibility of Embedding a Scalable, Virtually Enabled Biorepository in the Electronic Health Record for Precision MedicineKimberley M DeMerle, Jason N Kennedy, Octavia M Peck Palmer, et al.
Critical Care (London, England)|August 9, 2022
Clinical sepsis phenotypes in critically ill COVID-19 patientsNiklas Bruse, Emma J Kooistra, Aron Jansen, et al.
Applied Clinical Informatics|November 7, 2025
A FHIR-Powered Python Implementation of the SENECA Algorithm for Sepsis SubtypingAndrew J King, Christopher M Horvat, David Schlessinger, et al.
NPJ Digital Medicine|April 5, 2022
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIREmily B Brant, Jason N Kennedy, Andrew J King, et al.
Intensive Care Medicine|April 7, 2026
Measuring signatures of host resistance, disease tolerance, and damage in human sepsis: a prospective cohort studyArnab Chowdhury, Rachel E Powell, Jason N Kennedy, et al.
Annals of Internal Medicine|June 18, 2019
Patterns of Opioid Administration Among Opioid-Naive Inpatients and Associations With Postdischarge Opioid Use: A Cohort StudyJulie M Donohue, Jason N Kennedy, Christopher W Seymour, et al.
Ebiomedicine|January 20, 2026
Fuzzy classification of sepsis subtypes and implications for trajectory and treatmentJason N Kennedy, Stuthi Iyer, Peter C Nauka, et al.
Scientific Reports|March 15, 2024
Identification of a hyperinflammatory sepsis phenotype using protein biomarker and clinical data in the ProCESS randomized trialKimberley M DeMerle, Jason N Kennedy, Chung-Chou H Chang, et al.
Critical Care Medicine|September 19, 2025
Optimizing Agreement Between Bedside Nurse-Documented and Trained Researcher Delirium Assessments in the ICUKelly M Toth, Zahra Aghababa, Jason N Kennedy, et al.
JACC. Advances|June 28, 2024
Machine Learning Approaches for Phenotyping in Cardiogenic Shock and Critical Illness: Part 2 of 2Jacob C Jentzer, Corbin Rayfield, Sabri Soussi, et al.
Pageof 5

Showing results (21-30 of 41) with videos related to

Sort By:
Pageof 5
JAMA Network Open|February 22, 2021
Feasibility of Embedding a Scalable, Virtually Enabled Biorepository in the Electronic Health Record for Precision MedicineKimberley M DeMerle, Jason N Kennedy, Octavia M Peck Palmer, et al.
Critical Care (London, England)|August 9, 2022
Clinical sepsis phenotypes in critically ill COVID-19 patientsNiklas Bruse, Emma J Kooistra, Aron Jansen, et al.
Applied Clinical Informatics|November 7, 2025
A FHIR-Powered Python Implementation of the SENECA Algorithm for Sepsis SubtypingAndrew J King, Christopher M Horvat, David Schlessinger, et al.
NPJ Digital Medicine|April 5, 2022
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIREmily B Brant, Jason N Kennedy, Andrew J King, et al.
Intensive Care Medicine|April 7, 2026
Measuring signatures of host resistance, disease tolerance, and damage in human sepsis: a prospective cohort studyArnab Chowdhury, Rachel E Powell, Jason N Kennedy, et al.
Annals of Internal Medicine|June 18, 2019
Patterns of Opioid Administration Among Opioid-Naive Inpatients and Associations With Postdischarge Opioid Use: A Cohort StudyJulie M Donohue, Jason N Kennedy, Christopher W Seymour, et al.
Ebiomedicine|January 20, 2026
Fuzzy classification of sepsis subtypes and implications for trajectory and treatmentJason N Kennedy, Stuthi Iyer, Peter C Nauka, et al.
Scientific Reports|March 15, 2024
Identification of a hyperinflammatory sepsis phenotype using protein biomarker and clinical data in the ProCESS randomized trialKimberley M DeMerle, Jason N Kennedy, Chung-Chou H Chang, et al.
Critical Care Medicine|September 19, 2025
Optimizing Agreement Between Bedside Nurse-Documented and Trained Researcher Delirium Assessments in the ICUKelly M Toth, Zahra Aghababa, Jason N Kennedy, et al.
JACC. Advances|June 28, 2024
Machine Learning Approaches for Phenotyping in Cardiogenic Shock and Critical Illness: Part 2 of 2Jacob C Jentzer, Corbin Rayfield, Sabri Soussi, et al.
Pageof 5