Ruben Amarasingham

Summary

Affiliation: University of Texas Southwestern Medical Center
Country: USA

Publications

  1. ncbi Measuring clinical information technology in the ICU setting: application in a quality improvement collaborative
    Ruben Amarasingham
    Medicine Services, Parkland Health and Hospital System, Dallas, TX 75235, USA
    J Am Med Inform Assoc 14:288-94. 2007
  2. ncbi Clinical information technology capabilities in four U.S. hospitals: testing a new structural performance measure
    Ruben Amarasingham
    Robert Wood Johnson Clinical Scholars Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2223, USA
    Med Care 44:216-24. 2006
  3. ncbi The quest for quality: perspectives from the safety net
    Ron J Anderson
    Parkland Health and Hospital System, Dallas, Texas, USA
    Front Health Serv Manage 23:15-28. 2007
  4. ncbi Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
    Ruben Amarasingham
    Department of Medicine, UT Southwestern Medical Center and Parkland Health and Hospital System, Dallas, USA
    BMC Med Inform Decis Mak 8:39. 2008
  5. ncbi Clinical information technologies and inpatient outcomes: a multiple hospital study
    Ruben Amarasingham
    Center for Knowledge Translation and Clinical Innovation, Parkland Health and Hospital System, 5201 Harry Hines Blvd, Dallas, TX 75235, USA
    Arch Intern Med 169:108-14. 2009
  6. ncbi A rapid admission protocol to reduce emergency department boarding times
    Ruben Amarasingham
    Center for Clinical Innovation at Parkland Health and Hospital System UT Southwestern Medical Center, Dallas, Texas 75235, USA
    Qual Saf Health Care 19:200-4. 2010
  7. ncbi An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data
    Ruben Amarasingham
    Center for Clinical Innovation, Parkland Health and Hospital System, Dallas, TX 75235, USA
    Med Care 48:981-8. 2010
  8. ncbi Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data
    Carlos A Alvarez
    School of Pharmacy Department of Pharmacy Practice, Texas Tech University Health Sciences Center, 5920 Forest Park Rd, Dallas, TX 75235, USA
    BMC Med Inform Decis Mak 13:28. 2013
  9. ncbi An Electronic Medical Record-Based Model to Predict 30-Day Risk of Readmission and Death Among HIV-Infected Inpatients
    Ank E Nijhawan
    Department of Medicine, Division of Infectious Diseases, University of Texas Southwestern Medical Center, Center for Clinical Innovation, Parkland Health and Hospital System, Dallas, TX Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX Texas Center for Integrative Medicine, Internal and Integrative Medicine, Dallas, TX
    J Acquir Immune Defic Syndr 61:349-58. 2012

Collaborators

Detail Information

Publications9

  1. ncbi Measuring clinical information technology in the ICU setting: application in a quality improvement collaborative
    Ruben Amarasingham
    Medicine Services, Parkland Health and Hospital System, Dallas, TX 75235, USA
    J Am Med Inform Assoc 14:288-94. 2007
    ....
  2. ncbi Clinical information technology capabilities in four U.S. hospitals: testing a new structural performance measure
    Ruben Amarasingham
    Robert Wood Johnson Clinical Scholars Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2223, USA
    Med Care 44:216-24. 2006
    ..9 to 8.1) and intraclass correlation was high (Chronbach's alpha >.70). CONCLUSIONS: This assessment tool demonstrates initial evidence of validity and reliability...
  3. ncbi The quest for quality: perspectives from the safety net
    Ron J Anderson
    Parkland Health and Hospital System, Dallas, Texas, USA
    Front Health Serv Manage 23:15-28. 2007
    ..This article describes Parkland's approach to each component and takes a look at selected processes and outcomes...
  4. ncbi Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
    Ruben Amarasingham
    Department of Medicine, UT Southwestern Medical Center and Parkland Health and Hospital System, Dallas, USA
    BMC Med Inform Decis Mak 8:39. 2008
    ..This environment is not yet well defined. We examined whether specific hospital characteristics are associated with highly automated and usable clinical information systems...
  5. ncbi Clinical information technologies and inpatient outcomes: a multiple hospital study
    Ruben Amarasingham
    Center for Knowledge Translation and Clinical Innovation, Parkland Health and Hospital System, 5201 Harry Hines Blvd, Dallas, TX 75235, USA
    Arch Intern Med 169:108-14. 2009
    ..Despite speculation that clinical information technologies will improve clinical and financial outcomes, few studies have examined this relationship in a large number of hospitals...
  6. ncbi A rapid admission protocol to reduce emergency department boarding times
    Ruben Amarasingham
    Center for Clinical Innovation at Parkland Health and Hospital System UT Southwestern Medical Center, Dallas, Texas 75235, USA
    Qual Saf Health Care 19:200-4. 2010
    ..A rapid admission protocol was designed at our institution to reduce both EDBT and time to admission orders (EDTAO) for patients admitted to the internal medicine service...
  7. ncbi An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data
    Ruben Amarasingham
    Center for Clinical Innovation, Parkland Health and Hospital System, Dallas, TX 75235, USA
    Med Care 48:981-8. 2010
    ..A real-time electronic predictive model that identifies hospitalized heart failure (HF) patients at high risk for readmission or death may be valuable to clinicians and hospitals who care for these patients...
  8. ncbi Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data
    Carlos A Alvarez
    School of Pharmacy Department of Pharmacy Practice, Texas Tech University Health Sciences Center, 5920 Forest Park Rd, Dallas, TX 75235, USA
    BMC Med Inform Decis Mak 13:28. 2013
    ....
  9. ncbi An Electronic Medical Record-Based Model to Predict 30-Day Risk of Readmission and Death Among HIV-Infected Inpatients
    Ank E Nijhawan
    Department of Medicine, Division of Infectious Diseases, University of Texas Southwestern Medical Center, Center for Clinical Innovation, Parkland Health and Hospital System, Dallas, TX Departments of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX Texas Center for Integrative Medicine, Internal and Integrative Medicine, Dallas, TX
    J Acquir Immune Defic Syndr 61:349-58. 2012
    ..We sought to use data from the Electronic Medical Record (EMR) to create a clinical, robust, multivariable model for predicting readmission risk in hospitalized HIV-infected patients...