Ying P Tabak

Summary

Publications

  1. doi request reprint Using enriched observational data to develop and validate age-specific mortality risk adjustment models for hospitalized pediatric patients
    Ying P Tabak
    CareFusion, Clinical Research, San Diego, CA 92130, USA
    Med Care 51:437-45. 2013
  2. pmc Candidemia on presentation to the hospital: development and validation of a risk score
    Andrew F Shorr
    Pulmonary and Critical Care Medicine Service, Washington Hospital Center, Washington, DC 20010, USA
    Crit Care 13:R156. 2009
  3. pmc Development and validation of a disease-specific risk adjustment system using automated clinical data
    Ying P Tabak
    Biostatistics, Clinical Research, MedMined Services, CareFusion, 400 Nickerson Road, Marlborough, MA 01752, USA
    Health Serv Res 45:1815-35. 2010
  4. doi request reprint Development and validation of a mortality risk-adjustment model for patients hospitalized for exacerbations of chronic obstructive pulmonary disease
    Ying P Tabak
    Clinical Research, CareFusion, San Diego, CA, USA
    Med Care 51:597-605. 2013
  5. ncbi request reprint Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance
    Ying P Tabak
    Department of Clinical Research, Cardinal Health s MediQual Business, Marlborough, MA 01752, USA
    Med Care 45:789-805. 2007
  6. doi request reprint Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score
    Ying P Tabak
    Clinical Research Services, Cardinal Health, Marlborough, Massachusetts, USA
    Arch Intern Med 169:1595-602. 2009
  7. ncbi request reprint Should Do-Not-Resuscitate status be included as a mortality risk adjustor? The impact of DNR variations on performance reporting
    Ying P Tabak
    Department of Research, Cardinal Health Data and Clinical Information MediQual, Marlborough, Massachusetts 01752, USA
    Med Care 43:658-66. 2005
  8. doi request reprint Attributable burden of hospital-onset clostridium difficile infection: a propensity score matching study
    Ying P Tabak
    Clinical Research, CareFusion, San Diego, California, USA
    Infect Control Hosp Epidemiol 34:588-96. 2013

Detail Information

Publications8

  1. doi request reprint Using enriched observational data to develop and validate age-specific mortality risk adjustment models for hospitalized pediatric patients
    Ying P Tabak
    CareFusion, Clinical Research, San Diego, CA 92130, USA
    Med Care 51:437-45. 2013
    ..We sought to develop and validate age-specific mortality risk adjustment models for hospitalized pediatric patients using objective physiological variables on admission in addition to administrative variables...
  2. pmc Candidemia on presentation to the hospital: development and validation of a risk score
    Andrew F Shorr
    Pulmonary and Critical Care Medicine Service, Washington Hospital Center, Washington, DC 20010, USA
    Crit Care 13:R156. 2009
    ..Candidemia results in substantial morbidity and mortality, especially if initial antifungal therapy is delayed or is inappropriate; however, candidemia is difficult to diagnose because of its nonspecific presentation...
  3. pmc Development and validation of a disease-specific risk adjustment system using automated clinical data
    Ying P Tabak
    Biostatistics, Clinical Research, MedMined Services, CareFusion, 400 Nickerson Road, Marlborough, MA 01752, USA
    Health Serv Res 45:1815-35. 2010
    ..To assess the values of additional manually abstracted data...
  4. doi request reprint Development and validation of a mortality risk-adjustment model for patients hospitalized for exacerbations of chronic obstructive pulmonary disease
    Ying P Tabak
    Clinical Research, CareFusion, San Diego, CA, USA
    Med Care 51:597-605. 2013
    ..We sought to develop and validate a mortality risk-adjustment model to enhance hospital performance measurement and to support comparative effectiveness research...
  5. ncbi request reprint Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance
    Ying P Tabak
    Department of Clinical Research, Cardinal Health s MediQual Business, Marlborough, MA 01752, USA
    Med Care 45:789-805. 2007
    ..We also evaluated the additional value of vital signs and altered mental status (Full Models)...
  6. doi request reprint Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score
    Ying P Tabak
    Clinical Research Services, Cardinal Health, Marlborough, Massachusetts, USA
    Arch Intern Med 169:1595-602. 2009
    ..Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) often require hospitalization, may necessitate mechanical ventilation, and can be fatal. We sought to develop a simple risk score to determine its severity...
  7. ncbi request reprint Should Do-Not-Resuscitate status be included as a mortality risk adjustor? The impact of DNR variations on performance reporting
    Ying P Tabak
    Department of Research, Cardinal Health Data and Clinical Information MediQual, Marlborough, Massachusetts 01752, USA
    Med Care 43:658-66. 2005
    ..The practice of ordering "Do-Not-Resuscitate" (DNR) varies across hospitals. No research has explored how the DNR variation would affect cross-institutional performance reporting when DNR status is used as a risk adjustor...
  8. doi request reprint Attributable burden of hospital-onset clostridium difficile infection: a propensity score matching study
    Ying P Tabak
    Clinical Research, CareFusion, San Diego, California, USA
    Infect Control Hosp Epidemiol 34:588-96. 2013
    ..To determine the attributable in-hospital mortality, length of stay (LOS), and cost of hospital-onset Clostridium difficile infection (HO-CDI)...