Andrew C. Seger
Brigham and Women's Hospital
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Featured researches published by Andrew C. Seger.
Health Affairs | 2011
David C. Classen; Roger K. Resar; Frances A. Griffin; Frank Federico; Terri Frankel; Nancy L. Kimmel; John Whittington; Allan Frankel; Andrew C. Seger; Brent C. James
Identification and measurement of adverse medical events is central to patient safety, forming a foundation for accountability, prioritizing problems to work on, generating ideas for safer care, and testing which interventions work. We compared three methods to detect adverse events in hospitalized patients, using the same patient sample set from three leading hospitals. We found that the adverse event detection methods commonly used to track patient safety in the United States today-voluntary reporting and the Agency for Healthcare Research and Qualitys Patient Safety Indicators-fared very poorly compared to other methods and missed 90 percent of the adverse events. The Institute for Healthcare Improvements Global Trigger Tool found at least ten times more confirmed, serious events than these other methods. Overall, adverse events occurred in one-third of hospital admissions. Reliance on voluntary reporting and the Patient Safety Indicators could produce misleading conclusions about the current safety of care in the US health care system and misdirect efforts to improve patient safety.
Journal of the American Medical Informatics Association | 2006
Nidhi R. Shah; Andrew C. Seger; Diane L. Seger; Julie M. Fiskio; Gilad J. Kuperman; Barry H. Blumenfeld; Elaine G. Recklet; David W. Bates; Tejal K. Gandhi
Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. Our objective was to improve clinician acceptance of drug alerts by designing a selective set of drug alerts for the ambulatory care setting and minimizing workflow disruptions by designating only critical to high-severity alerts to be interruptive to clinician workflow. The alerts were presented to clinicians using computerized prescribing within an electronic medical record in 31 Boston-area practices. There were 18,115 drug alerts generated during our six-month study period. Of these, 12,933 (71%) were noninterruptive and 5,182 (29%) interruptive. Of the 5,182 interruptive alerts, 67% were accepted. Reasons for overrides varied for each drug alert category and provided potentially useful information for future alert improvement. These data suggest that it is possible to design computerized prescribing decision support with high rates of alert recommendation acceptance by clinicians.
Journal of the American Geriatrics Society | 2004
Terry S. Field; Jerry H. Gurwitz; Leslie R. Harrold; Jeffrey M. Rothschild; Kristin R. DeBellis; Andrew C. Seger; Jill C. Auger; Leslie A. Garber; Cynthia A. Cadoret; Leslie S. Fish; Lawrence Garber; Michael Kelleher; David W. Bates
Objectives: To gather information on patient‐level factors associated with risk of adverse drug events (ADEs) that may allow focus of prevention efforts on patients at high risk.
Journal of General Internal Medicine | 2005
Tejal K. Gandhi; Saul N. Weingart; Andrew C. Seger; Joshua Borus; Elisabeth Burdick; Eric G. Poon; Lucian L. Leape; David W. Bates
AbstractBACKGROUND: Medication errors are common among inpatients and many are preventable with computerized prescribing. Relatively little is known about outpatient prescribing errors or the impact of computerized prescribing in this setting. OBJECTIVE: To assess the rates, types, and severity of outpatient prescribing errors and understand the potential impact of computerized prescribing. DESIGN: Prospective cohort study in 4 adult primary care practices in Boston using prescription review, patient survey, and chart review to identify medication errors, potential adverse drug events (ADEs) and preventable ADEs. PARTICIPANTS: Outpatients over age 18 who received a prescription from 24 participating physicians. RESULTS: We screened 1879 prescriptions from 1202 patients, and completed 661 surveys (response rate 55%). Of the prescriptions, 143 (7.6%; 95% confidence interval (CI) 6.4% to 8.8%) contained a prescribing error. Three errors led to preventable ADEs and 62 (43%; 3% of all prescriptions) had potential for patient injury (potential ADEs); I was potentially life-threatening (2%) and 15 were serious (24%). Errors in frequency (n=77, 54%) and dose (n=26, 18%) were common. The rates of medication errors and potential ADEs were not significantly different at basic computerized prescribing sites (4.3% vs 11.0%, P=.31; 2.6% vs 4.0%, P=.16) compared to handwritten sites. Advanced checks (including dose and frequency checking) could have prevented 95% of potential ADEs. CONCLUSIONS: Prescribing errors occurred in 7.6% of outpatient prescriptions and many could have harmed patients. Basic computerized prescribing systems may not be adequate to reduce errors. More advanced systems with dose and frequency checking are likely needed to prevent potentially harmful errors.
Annals of Internal Medicine | 2005
Jennifer S. Haas; Kathryn A. Phillips; Eric P. Gerstenberger; Andrew C. Seger
Context The cost of prescription drugs is of great concern to Americans. The substitution of cheaper generic drugs for more expensive brand-name drugs might reduce prescription drug costs. Contribution Using data from the 19972000 Medical Expenditure Panel Survey Household Component, the researchers estimated that substitution of a generic for a brand-name drug whenever available would have saved approximately
Journal of the American Medical Informatics Association | 2004
Terry S. Field; Jerry H. Gurwitz; Leslie R. Harrold; Jeffrey M. Rothschild; Kristin R. DeBellis; Andrew C. Seger; Leslie S. Fish; Lawrence Garber; Michael Kelleher; David W. Bates
46 per year for adults younger than 65 years of age and approximately
JAMA Internal Medicine | 2009
Saul N. Weingart; Brett Simchowitz; Harper Padolsky; Thomas Isaac; Andrew C. Seger; Michael P. Massagli; Roger B. Davis; Joel S. Weissman
78 per year for older adults. Implication While the per capita savings of generic substitution appear modest, national savings would be substantial: about
Journal of the American Medical Informatics Association | 2008
Michael E. Matheny; Thomas D. Sequist; Andrew C. Seger; Julie M. Fiskio; Michael Sperling; Donald Bugbee; David W. Bates; Tejal K. Gandhi
6 billion for adults younger than age 65 years and about
The American Journal of Medicine | 2013
John Fanikos; Amanda Rao; Andrew C. Seger; Danielle Carter; Gregory Piazza; Samuel Z. Goldhaber
3 billion for older adults. The Editors Prescription drug spending is increasing at a rate of over 10% per year and currently represents 11% of all health care expenditures (1). In 2001, expenditures for prescription drugs in the United States were
Journal of the American Medical Informatics Association | 2008
Ashish K. Jha; Julia Laguette; Andrew C. Seger; David W. Bates
141 billion (1). The passage of a Medicare prescription drug benefit has resulted in much debate about the cost of this coverage. The program is designed to offer