They hadn’t bothered to consider statistically far more likely causes of an irregular heartbeat. In Redelmeier’s experience, doctors did not think statistically.
Statistics assumes independence, something that may be hard to come by in the ER. Even when you start factoring in the covariance between conditions, there's so many confounding factors it's probably difficult to tease out any sort of significant r^2 for an individual patientInstead, I would advocate for a pattern recognition method. Given a database of x million patients, it's likely someone has had the same type of case before, if not very similar. A sample would provide much less variable results than the individual patient,making diagnosis more confident.
Such a system could be used to predict symptoms before they become symptoms, saving time and preventing pain while serving to reduce hospital workload. Figure out a way to standardize it in the intake, and let the system predict what's wrong. It'll solve most of the cases, and identify new trends, leaving human doctors to focus on the edge cases like the one in the article.