The trend: Clinicians and healthcare technology executives are both eager and nervous about the potential of generative AI applications like ChatGPT and GPT-4 in healthcare.
Quotable: The pros and cons of generative AI in healthcare can be summed up in this recent quote from Micky Tripathi, PhD, who runs the health IT branch of the federal government: "I think all of us hopefully feel tremendous excitement and you ought to feel tremendous fear also.”
What’s driving the excitement? Healthcare is a data-rich industry that's in dire need of automation. Generative AI is already proving it could automate manual tasks, ingest patient data sets, and analyze vast amounts of information. And the tech is getting smarter every day.
The tech’s most promising healthcare use cases today are:
What’s driving the fear? This is where it gets scary. Medical experts caution that generative AI is not ready to be a diagnostic tool that clinicians can trust.
On the patient-facing side, AI chatbots are negatively affecting some users’ mental health.
What’s next? Tech players will continue to jockey for position in the AI arms race with updates on how their tools are being used by healthcare customers and getting more refined. Those that demonstrate accuracy and safety will be seen as winners in healthcare circles.
Go deeper by listening to our recent Behind the Numbers podcast on how generative AI could change healthcare.
This article originally appeared in Insider Intelligence's Digital Health Briefing—a daily recap of top stories reshaping the healthcare industry. Subscribe to have more hard-hitting takeaways delivered to your inbox daily.
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