title: Improvement in Detection of Wrong-Patient Errors When Radiologists Include Patient Photographs in Their Interpretation of Portable Chest Radiographs.
abstract: This study was conducted to determine whether facial photographs obtained simultaneously with radiographs improve radiologists' detection rate of wrong-patient errors, when they are explicitly asked to include the photographs in their evaluation. Radiograph-photograph combinations were obtained from 28 patients at the time of portable chest radiography imaging. From these, pairs of radiographs were generated. Each unique pair consisted of one new and one old (comparison) radiograph. Twelve pairs of mismatched radiographs (i.e., pairs containing radiographs of different patients) were also generated. In phase 1 of the study, 5 blinded radiologist observers were asked to interpret 20 pairs of radiographs without the photographs. In phase 2, each radiologist interpreted another 20 pairs of radiographs with the photographs. Radiologist observers were not instructed about the purpose of the photographs but were asked to include the photographs in their review. The detection rate of mismatched errors was recorded along with the interpretation time for each session for each observer. The two-tailed Fisher exact test was used to evaluate differences in mismatch detection rates between the two phases. A p value of <0.05 was considered significant. The error detection rates without (0/20 = 0%) and with (17/18 = 94.4%) photographs were different (p = 0.0001). The average interpretation times for the set of 20 radiographs were 26.45 (SD 8.69) and 20.55 (SD 3.40) min, for phase 1 and phase 2, respectively (two-tailed Student t test, p = 0.1911). When radiologists include simultaneously obtained photographs in their review of portable chest radiographs, there is a significant improvement in the detection of labeling errors. No statistically significant difference in interpretation time was observed. This may lead to improved patient safety without affecting radiologists' throughput.
authors.affiliation: Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, 1701 Uppergate Drive NE, Atlanta, GA, 30322, USA. stridan@emory.edu.|School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA. stridan@emory.edu.
authors.forename: Srini
authors.initials: S
authors.lastname: Tridandapani
authors.affiliation: Emory University School of Medicine, Atlanta, GA, 30322, USA. kevinolsen728@gmail.com.
authors.forename: Kevin
authors.initials: K
authors.lastname: Olsen
authors.affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA. pamela.bhatti@ece.gatech.edu.
authors.forename: Pamela
authors.initials: P
authors.lastname: Bhatti
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D008297:Male; D019300:Medical Errors / Q000517:prevention & control*; D008875:Middle Aged; D061214:Patient Safety; D010781:Photography; D019095:Point-of-Care Systems; D013902:Radiography, Thoracic; D055815:Young Adult
keywords: Medical errors; Wrong-patient events