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Journal of Critical Care
|
December 2, 2015
Using patient admission characteristics alone to predict mortality of critically ill patients: A comparison of 3 prognostic scores
Kwok M Ho, Teresa A Williams, Yusra Harahsheh, et al.
Critical Care Medicine
|
September 28, 2021
The authors reply
Thomas L Higgins, Laura Freeseman-Friedman, Kathy N Henson, et al.
Critical Care Medicine
|
November 18, 2021
The authors reply
Thomas L Higgins, Maureen M Stark, Kathy Henson, et al.
Critical Care Nurse
|
June 3, 2019
Pressure Injuries at Intensive Care Unit Admission as a Prognostic Indicator of Patient Outcomes
William T McGee, Brian H Nathanson, Elizabeth Lederman, et al.
Critical Care Medicine
|
June 20, 2012
Incorporating initial treatments improves the performance of a mortality prediction model based on administrative data
Tara Lagu, Thomas L Higgins, Brian H Nathanson, et al.
Critical Care Medicine
|
September 28, 2021
Benchmarking Inpatient Mortality Using Electronic Medical Record Data: A Retrospective, Multicenter Analytical Observational Study
Thomas L Higgins, Laura Freeseman-Freeman, Maureen M Stark, et al.
Chest
|
January 2, 2009
Prolonged acute mechanical ventilation: implications for hospital benchmarking
Marya D Zilberberg, Andrew A Kramer, Thomas L Higgins, et al.
Critical Care Medicine
|
April 16, 2021
Coronavirus Disease 2019 ICU Patients Have Higher-Than-Expected Acute Physiology and Chronic Health Evaluation-Adjusted Mortality and Length of Stay Than Viral Pneumonia ICU Patients
Thomas L Higgins, Maureen M Stark, Kathy N Henson, et al.
Physician Executive
|
August 27, 2013
How quickly do clinicians adopt EMR notes?
Thomas L Higgins, Neil R Kudler, Peter Lindenauer, et al.
Critical Care Medicine
|
March 28, 2009
Prospective validation of the intensive care unit admission Mortality Probability Model (MPM0-III)
Thomas L Higgins, Andrew A Kramer, Brian H Nathanson, et al.
Page
of 7
Search research articles
Search
Showing results (31-40 of 64) with videos related to
Sort By:
Page
of 7
Journal of Critical Care
|
December 2, 2015
Using patient admission characteristics alone to predict mortality of critically ill patients: A comparison of 3 prognostic scores
Kwok M Ho, Teresa A Williams, Yusra Harahsheh, et al.
Critical Care Medicine
|
September 28, 2021
The authors reply
Thomas L Higgins, Laura Freeseman-Friedman, Kathy N Henson, et al.
Critical Care Medicine
|
November 18, 2021
The authors reply
Thomas L Higgins, Maureen M Stark, Kathy Henson, et al.
Critical Care Nurse
|
June 3, 2019
Pressure Injuries at Intensive Care Unit Admission as a Prognostic Indicator of Patient Outcomes
William T McGee, Brian H Nathanson, Elizabeth Lederman, et al.
Critical Care Medicine
|
June 20, 2012
Incorporating initial treatments improves the performance of a mortality prediction model based on administrative data
Tara Lagu, Thomas L Higgins, Brian H Nathanson, et al.
Critical Care Medicine
|
September 28, 2021
Benchmarking Inpatient Mortality Using Electronic Medical Record Data: A Retrospective, Multicenter Analytical Observational Study
Thomas L Higgins, Laura Freeseman-Freeman, Maureen M Stark, et al.
Chest
|
January 2, 2009
Prolonged acute mechanical ventilation: implications for hospital benchmarking
Marya D Zilberberg, Andrew A Kramer, Thomas L Higgins, et al.
Critical Care Medicine
|
April 16, 2021
Coronavirus Disease 2019 ICU Patients Have Higher-Than-Expected Acute Physiology and Chronic Health Evaluation-Adjusted Mortality and Length of Stay Than Viral Pneumonia ICU Patients
Thomas L Higgins, Maureen M Stark, Kathy N Henson, et al.
Physician Executive
|
August 27, 2013
How quickly do clinicians adopt EMR notes?
Thomas L Higgins, Neil R Kudler, Peter Lindenauer, et al.
Critical Care Medicine
|
March 28, 2009
Prospective validation of the intensive care unit admission Mortality Probability Model (MPM0-III)
Thomas L Higgins, Andrew A Kramer, Brian H Nathanson, et al.
Page
of 7