RT Journal Article SR Electronic T1 Point-of-Care Estimated Radiation Exposure and Imaging Guidelines Can Reduce Pediatric Radiation Burden JF The Journal of the American Board of Family Medicine JO J Am Board Fam Med FD American Board of Family Medicine SP 343 OP 350 DO 10.3122/jabfm.2015.03.140251 VO 28 IS 3 A1 Christopher W. Bunt A1 Harry B. Burke A1 Alexander J. Towbin A1 Albert Hoang A1 Mark B. Stephens A1 Paul Fontelo A1 Fang Liu A1 Ronald W. Gimbel YR 2015 UL http://www.jabfm.org/content/28/3/343.abstract AB Introduction: The steady increase in the use of computed tomography (CT) has particular concerns for children. Family physicians must often select pediatric imaging without any decision support. We hypothesized that point-of-care decision support would lead to the selection of imaging that lowered radiation exposure and improved guideline congruence. Methods: Our double-blind, randomized simulation included family physicians in the Military Health System. Participants initially reviewed a pediatric hematuria scenario and selected imaging without decision support. Participants were subsequently randomized to either receive imaging-appropriateness guidelines and then estimated radiation exposure information or receive estimated radiation information then guidelines; imaging selections were required after each step. The primary outcome was the selected imaging modality with point-of-care decision support. Results: The first arm increased CT ordering after viewing the guidelines (P = .008) but then decreased it after reviewing radiation exposure information (P = .007). In the second arm radiation information decreased CT and plain film use (P = not significant), with a subsequent increase in ultrasound and CT after the guideline presentation (P = .05). Conclusions: Decision support during a simulated pediatric scenario helped family physicians select imaging that lowered radiation exposure and was aligned with current guidelines, especially when presented with radiation information after guideline review. This information could help inform electronic medical record design.