Generative AI in Healthcare: Reducing the Administrative Burden and Leaving More Time for Patients

Generative artificial intelligence (generative AI or gen AI) in healthcare, has been in the spotlight for the last few years, with headlines and research publications pressing on its growing importance and success. 

IBM's Watson which leverages AI algorithms, could ingest more than 600,000 pieces of medical evidence, more than two million pages from medical journals, and search through up to 1.5 million patient records, when its successful diagnosis rate for lung cancer was 90%, compared to 50% for human doctors — statistics from more than a decade ago. 

Continuing the curve of success, the size of the generative AI market in healthcare is now projected to reach USD 22.1 billion by the end of 2032, with nearly 75% of major healthcare companies currently experimenting or planning to scale generative AI in their operations.

In this article, we’ll cover how generative AI is used in healthcare with a focus on reducing that administrative burden, and we’ll share five use cases that demonstrate the future potential of this technology.