How AI Can Revolutionize Quality Assurance in Digital Health
- Waleed Mohsen
- Jul 26
- 1 min read
In today’s fast-evolving healthcare landscape, quality assurance (QA) isn’t just a back-office task — it’s a mission-critical function. As more care moves to digital platforms, the need to ensure clinical accuracy, regulatory compliance, and patient safety has never been greater.
In a recent guest article for Mexico Business News, Waleed Mohsen, founder of Verbal, outlined how AI can be applied to QA processes in virtual care settings — not to replace human reviewers, but to augment their accuracy, speed, and consistency.
At its core, AI-driven QA helps teams flag compliance risks in real-time, identify documentation gaps, and continuously train clinical staff based on data-informed feedback loops. These capabilities are especially vital in telehealth, behavioral health, and hybrid clinics, where quality assurance has historically been manual, delayed, or inconsistent.
From structured session reviews to predictive risk modeling, the article makes the case that responsible AI — when designed with clinicians in mind — can help healthcare organizations reduce overhead, increase audit-readiness, and improve outcomes at scale.
“AI isn’t here to replace your QA team — it’s here to make them faster, smarter, and more consistent.”
— Waleed Mohsen, Founder & CEO of Verbal
🔗 Read the full article on Mexico Business News:
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