Ruben Amarasingham

Summary

Affiliation: University of Texas Southwestern Medical Center
Country: USA

Publications

  1. pmc 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. doi 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
  5. pmc 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
  6. doi 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
  7. 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
  8. pmc An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmission
    Amit G Singal
    Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas Department of Clinical Sciences, University of Texas Southwestern, Dallas, Texas Electronic address
    Clin Gastroenterol Hepatol 11:1335-1341.e1. 2013
  9. pmc 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
  10. pmc Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study
    Ruben Amarasingham
    Parkland Center for Clinical Innovation, Dallas, Texas, USA
    BMJ Qual Saf 22:998-1005. 2013

Collaborators

Detail Information

Publications13

  1. pmc 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
    ..Few tools exist to quantify the performance of a hospital's information system from a user perspective...
  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. doi 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...
  5. pmc 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...
  6. doi 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...
  7. 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...
  8. pmc An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmission
    Amit G Singal
    Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas Department of Clinical Sciences, University of Texas Southwestern, Dallas, Texas Electronic address
    Clin Gastroenterol Hepatol 11:1335-1341.e1. 2013
    ..The aim of our study was to construct an automated 30-day readmission risk model for cirrhotic patients using electronic medical record (EMR) data available early during hospitalization...
  9. pmc 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
    ....
  10. pmc Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study
    Ruben Amarasingham
    Parkland Center for Clinical Innovation, Dallas, Texas, USA
    BMJ Qual Saf 22:998-1005. 2013
    ..To test a multidisciplinary approach to reduce heart failure (HF) readmissions that tailors the intensity of care transition intervention to the risk of the patient using a suite of electronic medical record (EMR)-enabled programmes...
  11. pmc Use of administrative claims data for identifying patients with cirrhosis
    Mahendra S Nehra
    Department of Internal Medicine, UT Southwestern Medical Cente, Dallas, TX 75390 8887, USA
    J Clin Gastroenterol 47:e50-4. 2013
    ..Administrative data are used in clinical research, but the validity of ICD-9 codes to identify cirrhotic patients has not been well established...
  12. doi Applying data analytics and information exchange to improve care for patients
    Ruben Amarasingham
    Parkland Center for Clinical Innovation, Dallas, Texas, USA
    Health Aff (Millwood) 31:2785-6. 2012
    Parkland Hospital's Ruben Amarasingham built a model to predict patients at high risk for readmission and now leads efforts to extend the benefits of health information to the nation's most vulnerable.
  13. doi 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 75235, USA
    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...