Observational studyBritish journal of anaesthesia2025
Robotic process automation to identify patients at high risk for perioperative myocardial infarction or injury: a prospective, blinded, paired reader-controlled single-centre study.
Observational study in British journal of anaesthesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02573532 (Basel Incidence, Patient Characteristics, Outcome and Possible Strategies to Improve Outcome of Perioperative Myocardial Injury After Non-cardiac Surgery), which is not on this map. Not yet cited in PubMed.
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The trial behind it
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Basel Incidence, Patient Characteristics, Outcome and Possible Strategies to Improve Outcome of Perioperative Myocardial Injury After Non-cardiac Surgery: 1-Year Follow-up
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough current guidelines recommend active surveillance for perioperative myocardial infarction, injury, or both in high-risk patients, implementation remains limited in most institutions worldwide because of a lack of resources.
methodsWe hypothesised that robotic process automation (RPA), a software technology that enables virtual bots to replicate human tasks within digital systems, could accurately replace experienced clinical staff. Manual screening by experienced clinical staff and RPA screening were carried out simultaneously and blinded to identify high-risk patients eligible for active surveillance for myocardial infarction/injury, according to predefined screening criteria. Discrepant identification was reviewed by an independent clinician blinded to the origin of the identification, generating a reference standard classification of paired reader-controlled patients to investigate the primary diagnostic endpoint: relative true positive fraction.
resultsIn 660 participants (median age 60 yr, interquartile range 42-73 yr, 54.8% female), 77/660 (12%) were eligible for active surveillance for perioperative myocardial infarction or injury according to the reference standard classification. RPA screening achieved 75 (97%) true positive identifications, compared with 63 (82%) identified from manual screening (relative true positive fraction: 1.19, 95% confidence interval 1.08-1.32, P=0.004). The number needed to screen to identify one additional true positive using RPA screening was 6. RPA screening had a sensitivity of 0.97 (0.91-0.99), compared with 0.82 (0.72-0.89) for. Both approaches had high specificity (RPA screening: 0.98 [0.97-0.99], compared with manual screening: 1.0 [0.99-1.00]). The estimated annual cost of RPA screening was 81% lower compared with manual screening.
conclusionsRPA screening was superior to standard-of-care manual screening by experienced clinical staff in identifying patients at high risk for perioperative myocardial infarction or injury. CLINICAL
trial registrationNCT02573532.
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