Does computer-aided clinical decision support improve the management of acute abdominal pain? A systematic review

Emergency Medicine Journal : EMJ
Jamie G CooperTajek B Hassan

Abstract

Acute abdominal pain is a common reason for emergency presentation to hospital. Despite recent medical advances in diagnostics, overall clinical decision-making in the assessment of patients with undifferentiated acute abdominal pain remains poor, with initial clinical diagnostic accuracy being 45-50%. Computer-aided decision support (CADS) systems were widely tested in this arena during the 1970s and 1980s with results that were generally favourable. Inception into routine clinical practice was hampered largely by the size and speed of the hardware. Computer systems and literacy are now vastly superior and the potential benefit of CADS deserves investigation. An extensive literature search was undertaken to find articles that directly compared the clinical diagnostic accuracy prospectively of medical staff in the diagnosis of acute abdominal pain before and after the institution of a CADS programme. Included articles underwent meta-analysis with a random-effects model. Ten studies underwent meta-analysis that demonstrated an overall mean percentage improvement in clinical diagnostic accuracy of 17.25% with the use of CADS systems. There is a role for CADS in the initial evaluation of acute abdominal pain, which very often take...Continue Reading

Citations

Aug 31, 2012·Journal of Pathology Informatics·Julliette M BuckleyKevin S Hughes
Dec 23, 2015·Journal of Hepato-biliary-pancreatic Sciences·Toshihiko MayumiKoichi Hirata
Dec 19, 2015·Japanese Journal of Radiology·Toshihiko MayumiKoichi Hirata
Dec 3, 2014·Computers in Biology and Medicine·Gisele Helena Barboni Miranda, Joaquim Cezar Felipe
Jun 3, 2015·BMC Surgery·Eva SandellÅke Andrén-Sandberg
Feb 17, 2015·Gastroenterology Research and Practice·Helena LaurellUlf Gunnarsson

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