Engineering Trustworthy AI in Healthcare with CitiusTech Knewron

Healthcare is at a breaking point, not because of a lack of algorithms or powerful models, but because AI has too often ignored the complexity and reality of healthcare workflows. Fragmented data, rising regulatory pressure, workforce shortages, and solutions that fail to scale have left the industry searching for a more grounded approach.

In this episode of the Shaping Healthcare podcast, Ramki, CTO at CitiusTech, unpacks why traditional AI efforts fall short and explores how CitiusTech’s Knewron is redefining responsible, contextual, and operational AI for the industry.

Key takeaways: 

• Why most healthcare AI efforts stall despite strong underlying models.
• What’s pushing healthcare into a critical AI inflection point.
• How Knewron embeds healthcare’s rules, standards, and oversight in ways generic tools can’t.
• What agentic AI can safely execute inside regulated workflows and where humans must stay in control.
• How organizations are seeing impact across Engineering, Payer, Provider, and MedTech workflows.