Aernoud Fiolet

320 Chapter 13 true negative data points]/all data points) on an individual patient level. For clarity and to show agreement between EHR vendors, accuracies of the various medical centers were plotted against the overall accuracy in a forest plot. RESULTS Participant identification efficiency A total of 92,466 patients visited the cardiology outpatient clinic of the three study centers during the recruitment period of the LoDoCo2 trial (October 1, 2016 to December 1, 2018). Of these, 568 patients (0.6%) were enrolled in the LoDoCo2 trial (Fig. 3, Table 1). Fig. 3. Eligible patients identified with conventional and automated participant identification. For the LoDoCo2 trial, all patients visiting the cardiology out-patient clinics were screened on trial eligibility. Automated EHR data screening resulted in a reduction of 73,863 (79.9%) patients that needed to be screened for trial participation. The remaining 18,603 (20.1%) contained 458 of the actual trial participants (82.4% of participants). Further inspection of the 110 (17.6%) trial participants missed by the data mining tool showed that in the automatically retrieved data on one or more inclusion or exclusion criteria were missing (no proof of coronary artery