Generative AI in Healthcare: The Obvious Wins and the Overlooked Gaps
- Waleed Mohsen
- Jul 26
- 1 min read
Generative AI is transforming the way industries think about automation, creativity, and productivity — but in healthcare, its real impact may lie beneath the surface.
In a recent guest article for Mexico Business News, Waleed Mohsen, CEO of Verbal, examines the contrast between the obvious opportunities (automating documentation, summarizing notes) and the overlooked challenges (maintaining compliance, empathy, and human oversight) of applying generative AI in clinical settings.
While the headlines often focus on ChatGPT-style note-takers or AI scribes, Mohsen argues that the harder problems — like quality assurance, clinical risk detection, and regulatory compliance — are where real value will be created. These areas are less flashy, but deeply mission-critical.
He also warns of the dangers of blindly trusting generative models without proper safeguards:
“Healthcare is a trust-first system. Without reliability and context, AI becomes noise — or worse, risk.”
The article calls for a pragmatic and purpose-built approach to AI: one that’s invisible when it should be, and opinionated when it needs to be, especially in high-risk digital environments like telehealth and behavioral health.
“The most important uses of AI in healthcare aren’t obvious — they’re systemic, buried deep in the workflows clinicians barely have time to touch.”
— Waleed Mohsen
🔗 Read the full piece on Mexico Business News:
Comments