IKS Health Launches Agentic AI Platform on Google Cloud to Transform Prior Authorization

IKS Health Launches Agentic AI Platform on Google Cloud to Transform Prior Authorization

HIT Consultant – Read More

What You Should Know: 

IKS Health, a global leader in care enablement solutions, today announced the launch of its new agentic AI platform built on Google Cloud technologies, including the Gemini family of models. 

– The platform is a generative AI-based, multi-agent system designed to drive clinical, administrative, and financial efficiencies across the patient journey, with a primary focus on automating complex workflows like prior authorization.

Leading the Agentic Revolution in Healthcare

The new platform uses Google Cloud’s agentic AI infrastructure, leveraging the Gemini family of models, Agent Development Kit (ADK), and Vertex AI. IKS Health’s solution orchestrates critical operations functions into a unified and efficient connected workflow, encompassing ambient documentation, coding, claim submissions, and prior authorizations directly with insurers.

“We are committed to leading the agentic revolution, and with our powerful partnership with Google Cloud, we are strengthening our long-term ambitions to transform healthcare workflows,” said Sachin K. Gupta, founder and global CEO, IKS Health. “By using Google Cloud’s agentic AI infrastructure, we are creating a connected care platform that eliminates point solution friction to drive faster and better outcomes across the patient journey.”

AI and Human-in-the-Loop: Core of Efficiency and Safety

The platform’s efficiency is powered by its multi-agent system, which is estimated to autonomously handle up to 80% of routine, repetitive tasks, such as those involved in document processing and insurance approvals, depending on complexity.

Crucially, the system is designed around a human-in-the-loop model, ensuring that IKS Health agents review and oversee the AI’s actions when medically necessary, thereby maintaining clinical safety and accuracy. This integration of AI speed and human oversight fundamentally improves efficiencies and reduces operational burdens, giving clinicians and care teams more time for direct patient care.

 

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