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Ruben Amarasingham

Showing results (11-20 of 25) with videos related to

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Quality & Safety in Health Care|February 10, 2010
A rapid admission protocol to reduce emergency department boarding timesRuben Amarasingham, T S Swanson, D B Treichler, et al.
Journal of Acquired Immune Deficiency Syndromes (1999)|October 26, 2012
An electronic medical record-based model to predict 30-day risk of readmission and death among HIV-infected inpatientsAnk E Nijhawan, Christopher Clark, Richard Kaplan, et al.
BMC Medical Informatics and Decision Making|September 17, 2008
Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United StatesRuben Amarasingham, Marie Diener-West, Laura Plantinga, et al.
Journal of Clinical Gastroenterology|October 24, 2012
Use of administrative claims data for identifying patients with cirrhosisMahendra S Nehra, Ying Ma, Christopher Clark, et al.
Medical Care|February 28, 2006
Clinical information technology capabilities in four U.S. hospitals: testing a new structural performance measureRuben Amarasingham, Marie Diener-West, Michael Weiner, et al.
Journal of the American Medical Informatics Association : JAMIA|March 3, 2007
Measuring clinical information technology in the ICU setting: application in a quality improvement collaborativeRuben Amarasingham, Peter J Pronovost, Marie Diener-West, et al.
Journal of General Internal Medicine|August 10, 2016
Vital Signs Are Still Vital: Instability on Discharge and the Risk of Post-Discharge Adverse OutcomesOanh Kieu Nguyen, Anil N Makam, Christopher Clark, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|April 18, 2013
An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmissionAmit G Singal, Robert S Rahimi, Christopher Clark, et al.
Journal of Hospital Medicine|March 2, 2016
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparisonOanh Kieu Nguyen, Anil N Makam, Christopher Clark, et al.
BMC Medical Informatics and Decision Making|February 28, 2013
Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record dataCarlos A Alvarez, Christopher A Clark, Song Zhang, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Quality & Safety in Health Care|February 10, 2010
A rapid admission protocol to reduce emergency department boarding timesRuben Amarasingham, T S Swanson, D B Treichler, et al.
Journal of Acquired Immune Deficiency Syndromes (1999)|October 26, 2012
An electronic medical record-based model to predict 30-day risk of readmission and death among HIV-infected inpatientsAnk E Nijhawan, Christopher Clark, Richard Kaplan, et al.
BMC Medical Informatics and Decision Making|September 17, 2008
Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United StatesRuben Amarasingham, Marie Diener-West, Laura Plantinga, et al.
Journal of Clinical Gastroenterology|October 24, 2012
Use of administrative claims data for identifying patients with cirrhosisMahendra S Nehra, Ying Ma, Christopher Clark, et al.
Medical Care|February 28, 2006
Clinical information technology capabilities in four U.S. hospitals: testing a new structural performance measureRuben Amarasingham, Marie Diener-West, Michael Weiner, et al.
Journal of the American Medical Informatics Association : JAMIA|March 3, 2007
Measuring clinical information technology in the ICU setting: application in a quality improvement collaborativeRuben Amarasingham, Peter J Pronovost, Marie Diener-West, et al.
Journal of General Internal Medicine|August 10, 2016
Vital Signs Are Still Vital: Instability on Discharge and the Risk of Post-Discharge Adverse OutcomesOanh Kieu Nguyen, Anil N Makam, Christopher Clark, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|April 18, 2013
An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmissionAmit G Singal, Robert S Rahimi, Christopher Clark, et al.
Journal of Hospital Medicine|March 2, 2016
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparisonOanh Kieu Nguyen, Anil N Makam, Christopher Clark, et al.
BMC Medical Informatics and Decision Making|February 28, 2013
Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record dataCarlos A Alvarez, Christopher A Clark, Song Zhang, et al.
Pageof 3