With AI, deep learning models, and so much technology, why aren't we better leveraging technology to assess cardiac rhythms? Why in 2021 are paramedics still interpreting cardiac rhythms?
I love this question! I don't know the answer and I am so not qualified to interpret rhythms, but I have been involved in my share of AI and automation work, so I can lend a little insight.
In a financial services context, there is an immense amount of scrutiny that has commenced in recent years around automated decisionmaking tools, such as trading models and credit decision tools. Part of this is because models - particularly without skilled oversight - not infrequently run into issues like overfitting to the training dataset, errors in use (e.g., applying a model to the wrong circumstances), or an inability to adjust to changing conditions (for example, a model designed based on a certain market environment that doesn't "kill" itself when conditions change).
In short, models aren't perfect -- they are best used as a guide or subject to skilled oversight, even if they've been tested and retested.
So, what does this mean for cardiac rhythm analysis?
Well, I think it's about the general
lack of concordance in expert reads of ECGs, for one. Combine that with the problems of technology application, as well as legal and ethical concerns about machine diagnosis (namely, failure to diagnose & who is accountable) given the tech issues themselves, I am not so surprised that there is a need for an art as well as a technical solution.