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Search results for "Computerized Decision Support"
- Computerized Decision Support
- Emergency Medicine
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Edward Etchells, MD, MSc; June 2015
After multiple visits to both his primary care provider and urgent care for chronic burning left foot pain attributed to peripheral neuropathy, a man presented to the emergency department with worsening symptoms. His left lower leg was dusky and extremely tender, with non-palpable pulses. CT angiography revealed complete blockage of the left superficial femoral artery due to atherosclerotic peripheral arterial disease. The patient required emergent vascular bypass surgery on his left leg, and ultimately, an above-the-knee amputation.
Journal Article > Study
Fitzgerald M, Cameron P, Mackenzie C, et al. Arch Surg. 2011;146:218-225.
Accurate initial assessment and resuscitation of trauma patients is critical to ensuring correct treatment and survival, and although standardized algorithms have been developed for initial trauma evaluation, errors are not uncommon. This innovative randomized controlled trial implemented a computerized clinician decision support system (CDSS) to ensure adherence to standardized protocols for trauma resuscitation, and used video capture of trauma resuscitations to assess the effects of the CDSS on patient outcomes. Use of the CDSS resulted in significantly reduced errors, and also reduced morbidity compared to standard treatment. This study demonstrates the utility of a CDSS in a fast-paced, high-acuity environment.
Journal Article > Study
Ramnarayan P, Cronje N, Brown R, et al. Emerg Med J. 2007;24:619-624.
Diagnostic errors are common and often related to cognitive processes, with many retrospectively discovered through review of closed malpractice claims or at time of autopsy. This study used a web-based clinical decision support system called Isabel to determine its ability to accurately diagnose acute medical problems compared with final discharge diagnoses and a panel of experts. Building on a past study, investigators discovered that the system displayed the final discharge diagnosis in 95% of inpatients. The authors highlight the potential benefits of integrating such a system into daily practice and call for further study on whether it reduces diagnostic error. An AHRQ WebM&M conversation with Dr. Britto, the co-founder of Isabel Healthcare Inc., discusses eradicating diagnostic errors through such decision support systems.