Amid the hype and promise, a growing tension is becoming clear: the reality of what AI can deliver versus what it can't.
Healthcare is in the middle of an evolution. Faced with a continuing decline in doctors and nurses and an increase in clinical care needs, health systems and hospitals are looking to AI to fill in the gaps.
Amid the hype and promise, a growing tension is becoming clear: the reality of what AI can deliver versus what it can’t. While advocates tout AI’s potential to revolutionize healthcare delivery, the technology still faces significant hurdles in most areas.
That may not be what a healthcare industry fraught with waste, burnout and misaligned incentives wants to hear, but that’s what we’ve got.
Our innovation and technology editor, Eric Wicklund, spoke to some of the best in the industry about how healthcare is finally coming to grips with what AI can and can’t do, and who should be worried.
Read the full story here.
Eric Wicklund is the associate content manager and senior editor for Innovation at HealthLeaders.
KEY TAKEAWAYS
The healthcare industry is eager to adopt AI for clinical care, but the technology’s current limitations and immaturity raise concerns about its ability to deliver on its promises.
As AI tools become more integrated into healthcare, ethical concerns, governance complexities, and the cost of maintaining AI systems are significant hurdles that need to be addressed.
While large health systems partner with tech giants to explore AI, smaller and resource-limited healthcare providers struggle to implement and govern AI effectively, potentially widening the gap in care quality.