R S Evans

Summary

Affiliation: LDS Hospital
Country: USA

Publications

  1. pmc Rapid identification of hospitalized patients at high risk for MRSA carriage
    R Scott Evans
    Department of Medical Informatics, LDS Hospital, Intermountain Healthcare, Salt Lake City, Utah, USA
    J Am Med Inform Assoc 15:506-12. 2008
  2. ncbi request reprint Evaluation of a computer-assisted antibiotic-dose monitor
    R S Evans
    Department of Clinical Epidemiology, LDS Hospital, Salt Lake City, UT 84143, USA
    Ann Pharmacother 33:1026-31. 1999
  3. ncbi request reprint Risk factors for adverse drug events: a 10-year analysis
    R Scott Evans
    Department of Medical Informatics, LDS Hospital and Intermountain Health Care, Salt Lake City, UT 84143 0001, USA
    Ann Pharmacother 39:1161-8. 2005
  4. doi request reprint Patient-perceived usefulness of an emergency medical card and a continuity-of-care report in enhancing the quality of care
    C H O Olola
    Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah 84112, USA
    Int J Qual Health Care 23:60-7. 2011
  5. pmc Clinicians' response to computerized detection of infections
    B H Rocha
    University of Utah, Salt Lake City, Utah
    J Am Med Inform Assoc 8:117-25. 2001
  6. ncbi request reprint Computerized identification of patients at high risk for hospital-acquired infection
    R S Evans
    Department of Medical Informatics, LDS Hospital, Salt Lake City, UT 84143
    Am J Infect Control 20:4-10. 1992
  7. ncbi request reprint Building a comprehensive clinical information system from components. The approach at Intermountain Health Care
    P D Clayton
    Intermountain Health Care, University of Utah, USA
    Methods Inf Med 42:1-7. 2003
  8. doi request reprint Implementation of an emergency medical card and a continuity of care report using continuity of care standard
    C H O Olola
    Department of Biomedical Informatics, University of Utah, Salt Lake City, 84112 5750, USA
    Methods Inf Med 48:519-30. 2009
  9. pmc Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery
    L M Taft
    Department of Biomedical Informatics, University of Utah Health Sciences Center, School of Medicine, 30 North 1900 East, Salt Lake City, Utah 84132, USA
    J Biomed Inform 42:356-64. 2009
  10. ncbi request reprint Development and impact of a computerized pediatric antiinfective decision support program
    C J Mullett
    Department of Medical Informatics, University of Utah, USA
    Pediatrics 108:E75. 2001

Detail Information

Publications30

  1. pmc Rapid identification of hospitalized patients at high risk for MRSA carriage
    R Scott Evans
    Department of Medical Informatics, LDS Hospital, Intermountain Healthcare, Salt Lake City, Utah, USA
    J Am Med Inform Assoc 15:506-12. 2008
    ..Previous MRSA colonization was the best predictor but other risk factors were needed to increase the sensitivity of the algorithm...
  2. ncbi request reprint Evaluation of a computer-assisted antibiotic-dose monitor
    R S Evans
    Department of Clinical Epidemiology, LDS Hospital, Salt Lake City, UT 84143, USA
    Ann Pharmacother 33:1026-31. 1999
    ..To examine the effect of a computer-assisted antibiotic-dose monitor used to reduce the number of days that patients receive excessive dosages of antibiotics and the number of adverse drug events (ADEs) secondary to antibiotics...
  3. ncbi request reprint Risk factors for adverse drug events: a 10-year analysis
    R Scott Evans
    Department of Medical Informatics, LDS Hospital and Intermountain Health Care, Salt Lake City, UT 84143 0001, USA
    Ann Pharmacother 39:1161-8. 2005
    ..Many adverse drug events (ADEs) are the result of known pharmacologic properties, and some result from medication errors. However, some are the result of patient-specific risk factors...
  4. doi request reprint Patient-perceived usefulness of an emergency medical card and a continuity-of-care report in enhancing the quality of care
    C H O Olola
    Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah 84112, USA
    Int J Qual Health Care 23:60-7. 2011
    ....
  5. pmc Clinicians' response to computerized detection of infections
    B H Rocha
    University of Utah, Salt Lake City, Utah
    J Am Med Inform Assoc 8:117-25. 2001
    ..To analyze whether computer-generated reminders about infections could influence clinicians' practice patterns and consequently improve the detection and management of nosocomial infections...
  6. ncbi request reprint Computerized identification of patients at high risk for hospital-acquired infection
    R S Evans
    Department of Medical Informatics, LDS Hospital, Salt Lake City, UT 84143
    Am J Infect Control 20:4-10. 1992
    ..Computerized regression equations to identify patients at risk of having hospital-acquired infections can help focus prevention efforts...
  7. ncbi request reprint Building a comprehensive clinical information system from components. The approach at Intermountain Health Care
    P D Clayton
    Intermountain Health Care, University of Utah, USA
    Methods Inf Med 42:1-7. 2003
    ..To discuss the advantages and disadvantages of an interfaced approach to clinical information systems architecture...
  8. doi request reprint Implementation of an emergency medical card and a continuity of care report using continuity of care standard
    C H O Olola
    Department of Biomedical Informatics, University of Utah, Salt Lake City, 84112 5750, USA
    Methods Inf Med 48:519-30. 2009
    ..We also describe studies to evaluate the effectiveness of these documents in CoC...
  9. pmc Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery
    L M Taft
    Department of Biomedical Informatics, University of Utah Health Sciences Center, School of Medicine, 30 North 1900 East, Salt Lake City, Utah 84132, USA
    J Biomed Inform 42:356-64. 2009
    ..Risk factor identification with electronic pattern recognition techniques could improve ADE detection rates...
  10. ncbi request reprint Development and impact of a computerized pediatric antiinfective decision support program
    C J Mullett
    Department of Medical Informatics, University of Utah, USA
    Pediatrics 108:E75. 2001
    ..We evaluated the impact of an antiinfective decision support tool in a pediatric intensive care unit (PICU)...
  11. pmc Automatic detection of acute bacterial pneumonia from chest X-ray reports
    M Fiszman
    The University of Utah, Salt Lake City, Utah, USA
    J Am Med Inform Assoc 7:593-604. 2000
    ..To evaluate the performance of a natural language processing system in extracting pneumonia-related concepts from chest x-ray reports...
  12. ncbi request reprint Trauma patient hospital-associated infections: risks and outcomes
    Harrison M Lazarus
    Division of Trauma Services, Department of Clinical Epidemiology, LDS Hospital, Salt Lake City, Utah, USA
    J Trauma 59:188-94. 2005
    ..HAIs have been shown to affect outcome measures, but the extent is not well studied...
  13. pmc Assessing data quality in manual entry of ventilator settings
    David K Vawdrey
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84112 5750, USA
    J Am Med Inform Assoc 14:295-303. 2007
    ..DESIGN An analysis of 29,054 charting events gathered over 12 months from 678 ventilated patients (1,736 ventilator days) in four intensive care units at a tertiary care hospital...
  14. ncbi request reprint A six-year descriptive study of hospital-associated infection in trauma patients: demographics, injury features, and infection patterns
    Harrison M Lazarus
    Division of Trauma Services, Department of Clinical Epidemiology, and Department of Medical Informatics, LDS Hospital, Salt Lake City, Utah 94143, USA
    Surg Infect (Larchmt) 8:463-73. 2007
    ..Information identifying trauma patients at risk, most frequent infection sites, and pathogens is of importance for surveillance and infection control. Measurement is essential to improving care...
  15. ncbi request reprint System analysis and improvement in the process of transplant patient care
    Catherine J Staes
    Department of Biomedical Informatics, University of Utah School of Medicine, and Intermountain Healthcare, Utah, USA
    Stud Health Technol Inform 129:915-9. 2007
    ..The components developed for this project can be extended to meet other transplant program needs...
  16. pmc Computerized alerts improve outpatient laboratory monitoring of transplant patients
    Catherine J Staes
    Department of Biomedical Informatics, University of Utah School of Medicine, RSE, SMH, SPN, CJS, Salt Lake City, UT, USA
    J Am Med Inform Assoc 15:324-32. 2008
    ..Computerized alerts led to more efficient, complete, and timely management of laboratory information...
  17. pmc Detecting adverse events using information technology
    David W Bates
    Division of General Medicine, Department of Medicine, Brigham and Women s Hospital, 75 Francis Street, Boston, MA 02115, USA
    J Am Med Inform Assoc 10:115-28. 2003
    ..Information technology techniques can detect some adverse events in a timely and cost-effective way, in some cases early enough to prevent patient harm...
  18. pmc Enhanced notification of critical ventilator events
    R Scott Evans
    Department of Medical Informatics, LDS Hospital, Salt Lake City, UT 84143 0001, USA
    J Am Med Inform Assoc 12:589-95. 2005
    ..This paper describes the development and implementation of this system and reports the initial results, user acceptance, and the increase in valuable information and patient safety...
  19. pmc Detection and prevention of medication errors using real-time bedside nurse charting
    Nancy C Nelson
    Department of Medical Informatics, LDS Hospital, Salt Lake City, UT 84143, USA
    J Am Med Inform Assoc 12:390-7. 2005
    ..The aim of this study was to increase the real-time bedside charting behavior of nurses...
  20. pmc Policy and the future of adverse event detection using information technology
    David W Bates
    Division of General Medicine, Department of Medicine, Brigham and Women s Hospital, 75 Francis Street, Boston, MA 02115, USA
    J Am Med Inform Assoc 10:226-8. 2003
  21. pmc Development of an information model for storing organ donor data within an electronic medical record
    Catherine J Staes
    Department of Medical Informatics, Intermountain Health Care, 4646 Lake Park Boulevard, Salt Lake City, UT 84120, USA
    J Am Med Inform Assoc 12:357-63. 2005
    ....
  22. ncbi request reprint System-wide surveillance for clinical encounters by patients previously identified with MRSA and VRE
    R Scott Evans
    Department of Medical Informatics, LDS Hospital Intermountain Health Care, 8th Avenue and C Street, Salt Lake City, UT 84143, USA
    Stud Health Technol Inform 107:212-6. 2004
    ..In addition, the new surveillance system was able to alert infection control personnel when ever these patients visited any IHC inpatient or outpatient facility...
  23. pmc Using computer technology to detect, measure, and prevent adverse drug events
    Reed M Gardner
    J Am Med Inform Assoc 11:535-6. 2004
  24. ncbi request reprint Surveillance of medical device-related hazards and adverse events in hospitalized patients
    Matthew H Samore
    University of Utah School of Medicine, Salt Lake City 84132, USA
    JAMA 291:325-34. 2004
    ..Although adverse drug events have been extensively evaluated by computer-based surveillance, medical device errors have no comparable surveillance techniques...
  25. ncbi request reprint Cost of opioid-related adverse drug events in surgical patients
    Gary M Oderda
    University of Utah College of Pharmacy and School of Medicine, Salt Lake City, UT, USA
    J Pain Symptom Manage 25:276-83. 2003
    ..The estimated log cost difference of 16%, if applied to the median cost patient in the non-ADE group, averaged US$ 840. Opioid-related ADEs are common in hospitalized patients and increase LOS and total hospital costs...
  26. ncbi request reprint Decision support in medicine: lessons from the HELP system
    Peter J Haug
    Department of Medical Informatics, Intermountain Health Care of Utah, University of Utah, 4646 Lake Park Blvd, Salt Lake City, UT 84120 8212, USA
    Int J Med Inform 69:273-84. 2003
    ..The focus of the article is on the medical decision support provided by this system and studied by researchers at the University of Utah and Intermountain Health Care (IHC), a large health care organization in Utah, for many years...
  27. doi request reprint Forecasting daily patient volumes in the emergency department
    Spencer S Jones
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    Acad Emerg Med 15:159-70. 2008
    ..There are few studies that explore the use of forecasting methods to predict patient volumes in the ED...
  28. ncbi request reprint Opioid-related adverse drug events in surgical hospitalizations: impact on costs and length of stay
    Gary M Oderda
    Pharmacotherapy Outcomes Research Center, University of Utah Health Sciences Center, Salt Lake City, UT 84108, USA
    Ann Pharmacother 41:400-6. 2007
    ..Opioid analgesics remain a mainstay in the treatment of pain associated with surgical procedures. Such use is associated with adverse drug events (ADEs)...
  29. pmc A case for manual entry of structured, coded laboratory data from multiple sources into an ambulatory electronic health record
    Catherine J Staes
    Department of Medical Informatics, University of Utah, Salt Lake City, 84111, USA
    J Am Med Inform Assoc 13:12-5. 2006
    ..We encountered regulatory, logistic, economic, and data quality issues that should be of interest to others developing similar applications...
  30. ncbi request reprint Adverse drug events in trauma patients
    Harrison M Lazarus
    Division of Trauma Services, LDS Hospital, Salt Lake City, Utah 84143, USA
    J Trauma 54:337-43. 2003
    ..ADEs have been shown to be a risk to hospitalized patients. The purpose of this study was to determine the rate and nature of ADEs in trauma patients and to characterize the population at risk...