Abstract Objective A simplified version of the History, ECG, Age, Risk factors, Troponin (HEART) score, excluding troponin, has been proposed to rule out major adverse cardiac events (MACE). Computerised history taking (CHT) provides a systematic and automated method to obtain information necessary to calculate the HEAR score. We aimed to evaluate the efficacy and diagnostic accuracy of CHT in calculating the HEAR score for predicting MACE. Methods Prospective study including clinically stable adults presenting with chest pain at the emergency department of Danderyd University Hospital (Stockholm, Sweden), in 2017-2019. Participants entered their medical histories on touchscreen tablets using CHT software. HEAR and HEART scores were calculated from CHT data. 30-day MACE and ACS outcomes were retrieved, and the diagnostic accuracy was assessed. Logistic regression was used to determine the most predictive components of the HEAR score. Results Among 1,000 patients, HEART and HEAR scores could be calculated from CHT data in 648 and 666 cases, respectively, with negative predictive values (95% CI) of 0.98 (0.97–0.99) and 0.99 (0.96–1.00). Two patients with HEAR score <2 experienced a 30-day MACE. The Age (OR 2.75, 95% CI 1.62–4.66) and History (OR 2.38, 95% CI 1.52–3.71) components of the HEAR score were most predictive of MACE. ACS outcomes provided similar results. Conclusions HEAR score acquired by CHT identifies very-low risk patients with chest pain in the ED, safely ruling out ACS and MACE. This highlights the value of computerised history-taking by patients, which may reduce unnecessary tests and hospital admissions. Trial Registration ClinicalTrials.gov NCT03439449.
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