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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedLong S, Thomas GW, Karam MD
Surgical skill can be objectively measured from fluoroscopic images using a novel image-based Decision Error Analysis (IDEA) score.
This study introduces and evaluates a novel Image-based Decision Error Analysis (IDEA) score that captures performance during fluoroscopically assisted wire navigation. Findings showed that the fluoroscopic images obtained in the course of placing a guide wire contained a rich amount of information related to surgical skill. The IDEA scoring provided a basis for evaluating the competence of a resident. The score can be used to assess skill at key timepoints throughout residency, such as when rotating onto/off of a new surgical service and before performing certain procedures in the operating room, or as a tool for debriefing/providing feedback after a procedure is completed.
AHRQ-funded; HS022077; HS025353.
Citation: Long S, Thomas GW, Karam MD .
Surgical skill can be objectively measured from fluoroscopic images using a novel image-based Decision Error Analysis (IDEA) score.
Clin Orthop Relat Res 2021 Jun;479(6):1386-94. doi: 10.1097/corr.0000000000001623..
Keywords: Orthopedics, Surgery, Shared Decision Making, Medical Errors, Adverse Events, Imaging
Sheehan SE, Safdar N, Singh H
Detection and remediation of misidentification errors in radiology examination ordering.
In this study, the investigators described the pilot testing of a quality improvement methodology using electronic trigger tools and preimaging checklists to detect "wrong-side" misidentification errors in radiology examination ordering, and to measure staff adherence to departmental policy in error remediation. The investigators concluded that their trigger tool enabled the detection of substantially more imaging ordering misidentification errors than preimaging safety checklists alone, with a high positive predictive value.
AHRQ-funded; HS022087; HS017820.
Citation: Sheehan SE, Safdar N, Singh H .
Detection and remediation of misidentification errors in radiology examination ordering.
Appl Clin Inform 2020 Jan;11(1):79-87. doi: 10.1055/s-0039-3402730..
Keywords: Medical Errors, Adverse Events, Diagnostic Safety and Quality, Patient Safety, Imaging, Quality Improvement, Quality of Care
Lacson R, Cochon L, Ip I
Classifying safety events related to diagnostic imaging from a safety reporting system using a human factors framework.
This study measured the prevalence of safety events related to diagnostic imaging reported to an electronic safety reporting system. The authors evaluated reports all system reports from 2015 at an academic medical center. Out of 11,570 safety reports submitted, only 7% were related to diagnostic imaging. The adverse event was reported as either result communication or harm during the imaging procedure itself. The harms were rates from 0 to 4 by the reporter. Harms from 2-4 were considered as “potential harm."
AHRQ-funded; HS024722.
Citation: Lacson R, Cochon L, Ip I .
Classifying safety events related to diagnostic imaging from a safety reporting system using a human factors framework.
J Am Coll Radiol 2019 Mar;16(3):282-88. doi: 10.1016/j.jacr.2018.10.015..
Keywords: Adverse Events, Diagnostic Safety and Quality, Imaging, Patient Safety, Medical Errors