“[ai] will augment clinical decision-making, but it won’t replace it,” says dhalla. “it’s more like a virtual second opinion, not meant to override human judgment or expertise.”
for sure, there are areas in health-care that could use a little updating, especially as we come out of a pandemic that pretty much brought our system to its knees. health education and increased efficiency in workflows and patient management? bring it on. certainly, no one would balk at doing whatever it takes to smooth the logistical bumps that pop up in the patient journey. but ai-powered health-care providers that diagnose, treat, and prescribe? our well-being — heck, our lives — counting on the intelligence of a wiry back end? despite the excitement of my beer-drinking neighbour, maybe the rest of us aren’t quite ready for that yet.
imagine ai that diagnoses, treats and prescribes
it doesn’t help that, despite dranove and garthwaite’s impressive list of ai capabilities like data mining to predict the most effective treatments or surgeries, accurate diagnoses and detecting invasive cancer missed by radiologists, there are also justifiable concerns about its reliability, including its tendency to make things up, or “hallucinate.” and in health, these blips can literally mean the difference between life and death.
scary, if you spend too much time thinking about it.
but perhaps with strategies and protocols in place to continuously monitor, evaluate, and measure its effectiveness and accuracy, we can ensure patients are always protected and kept safe, while reaping the benefits of all the good that ai can do.
personally, i believe that humanness is essential to care. it’s what gives us hope, connection while suffering, and a sense that we are being taken care of — authentically and with purpose. do what you want with coffee, but when it comes to quality of life and survival, it’s probably best left in the fleshy hands of living and breathing experts, maybe with just a dash of ai.