title: The impact of computer-assisted test interpretation on physician decision making: the case of electrocardiograms.
abstract: This research investigated the effect of computer-assisted test interpretation (CATI) on physicians' readings of electrocardiograms (ECGs). The authors used an experimental method based on direct observations of 22 cardiologists, each reading 80 ECGs, for a total of 1,760 (of which 1,745 were used in the study). There were 40 sets of clinically-matched pairs of ECGs, one with CATI and one without. Reading time was observed and interpretation accuracy was measured by criterion-referenced aggregate scoring. To control for potential biases, the findings were subjected to multivariate analyses using ordinary least-squares regressions. The impact of CATI on cardiologists' readings of ECGs is demonstrably beneficial: the main empirical conclusion of this study is that, compared with conventional interpretation, the use of computer-assisted interpretation of ECGs cuts physician time by an average of 28% and significantly improves the concordance of the physician's interpretation with the expert benchmark, without increasing the false-positive rate. Moreover, CATI is the most accurate and saves the most time when the ECGs have many unambiguous diagnoses. Given that computers alone cannot perform the task of cardiovascular diagnosis, and that cardiologists' ECG interpretations are greatly enhanced by ubiquitous CATI technology, it appears that the best approach is one that combines person and machine.
authors.affiliation: Health Care Systems Department, Wharton School, University of Pennsylvania, Philadelphia, USA.
authors.forename: D J
authors.initials: DJ
authors.lastname: Brailer
authors.forename: E
authors.initials: E
authors.lastname: Kroch
authors.forename: M V
authors.initials: MV
authors.lastname: Pauly
mesh_terms: D000328:Adult; D001185:Artificial Intelligence; D003658:Decision Making, Computer-Assisted; D004562:Electrocardiography / Q000706:statistics & numerical data*; D005103:Expert Systems; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010348:Patient Care Team / Q000706:statistics & numerical data; D012815:Signal Processing, Computer-Assisted