While I agree that the tech can’t be trusted (yet) to autonomously make clinical decisions, this reminds me of when taxi driver unions protested uber/lyft. https://lnkd.in/gxprJUrB
While it may be "risky" to bring these technologies into clinical settings directly, do you think it may be useful to bring them into Med school education so that the next gen clinicians become familiar with them & know how to use them while alerting themselves of pitfalls. Thinking EMRs introduced 30 years back (there was a lot of resistance then!!)
Clinton S.
1mo
ALL technology is criticized/feared and then adopted. Then voila it’s apart of our everyday lives. Sounds like a good time to double down and bet on the technology to win. 🥇
CEO of Civitas Networks for Health + board member, health tech advisor, and interoperability, data, and value-based care expert
1moHmm…I definitely want nurses and doctors to be in charge here for the forseeable future, given the very real limitations of data, both thr data used to train algorithms like the sepsis algorithm used here, and also the limitations of data that are available for any given patient in the EHR. Furthermore, automation bias is real, and there is significant danger when clinicians (or anyone) believes that the machine is right, over their own eyes and ears. In this case, the nurses quoted provided some very specific reasons and examples for their perspectives. And if we compare this to taxi drivers and Uber, both had significant downsides. And the outcome, whereby liability was shifted entirely off the company, and everyone became gig workers, hasn’t exactly been ideal. Neither is the current system!