The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.
Vidrine R, Zackoff M, Paff Z, et al. Jt Comm J Qual Patient Saf. 2020;46:299-307.
Early recognition and treatment of sepsis is a critical safety issue. The authors of this study aimed to reduce the frequency of delayed sepsis recognition in a pediatric intensive care unit (PICU) through the use of an automated clinical decision support tool (CDS) prompting multidisciplinary sepsis huddles. After a two-year period, the average number of days between episodes of delayed sepsis recognition improved from one episode every 9 days to one every 28 days, and the median time to antibiotics decreased from 1.53 hours to 1.05 hours, representing a significant reduction.
Murff HJ, FitzHenry F, Matheny ME, et al. JAMA. 2011;306:848-55.
Many adverse event identification methods cannot detect errors until well after the event has occurred, as they rely on screening administrative data or review of the entire chart after discharge. Electronic medical records (EMRs) offer several potential patient safety advantages, such as decision support for averting medication or diagnostic errors. This study, conducted in the Veterans Affairs system, reports on the successful development of algorithms for screening clinicians' notes within EMRs to detect postoperative complications. The algorithms accurately identified a range of postoperative adverse events, with a lower false negative rate than the Patient Safety Indicators. As the accompanying editorial notes, these results extend the patient safety possibilities of EMRs to potentially allow for real time identification of adverse events.
McGregor JC, Weekes E, Forrest GN, et al. J Am Med Inform Assoc. 2006;13:378-84.
Clinical decision support systems (CDSS) are being increasingly incorporated into electronic medical record systems. In this quasi-randomized study conducted at an academic medical center, the CDSS combined laboratory and pharmacy data to provide guidance on appropriate antimicrobial therapy to the hospital's antibiotic management team. The antibiotic management team made significantly more interventions on patients randomized to the intervention arm, resulting in cost savings for the hospital. The CDSS was also more efficient, saving the team nearly 1 hour per day. A prior systematic review revealed that CDSS have been broadly effective at changing provider behavior, but their effect on patient outcomes remains to be determined.
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