Aernoud Fiolet

317 Text-mining in electronic healthcare records can be used for screening and data collection First, all patients who visited the outpatient cardiology clinics of the three participating medical centers during the recruitment phase (October 1, 2016, to December 1, 2018) of the LoDoCo2 trial were automatically and anonymously screened retrospectively for eligibility of participation in the trial according to its inclusion and exclusion criteria (Fig. 2). The yield of eligible patients via this method was compared to those actually included in the trial by manual screening for trial participation. Second, baseline characteristics were automatically collected for all trial participants, and accuracywas assessed against manually collected data. Fig. 2. Overview of the process of conventional and automated participant identification and data collection and the associated estimated time of these processes. The LoDoCo2 trial Conventional participant identification and data collection methods used in the international clinical trial LoDoCo2 were used as the reference standard. The LoDoCo2 trial was chosen as it represents a prototype large international multicenter cardiovascular outcome trial. In short, the LoDoCo2 trial was a randomized, investigator-initiated international, multicenter study that investigated whether colchicine 0.5 mg once daily as compared to placebo in patients with stable coronary artery disease reduces the incidence of major adverse cardiovascular events. 13 The trial’s recruitment started in December 2016 and was completed in December 2018. The trial methodology and results have been reported before. 14 Study population This study was based on the data of patients visiting the cardiology outpatient clinics of three large Dutch medical centers. The medical centers were selected to