A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission
This tutorial explains how to build an AI-powered medical prior-authorization agent using Gemini, including configuring the model, creating external tools, and constructing an intelligent agent loop.
Why it matters
This guide demonstrates how AI-powered agents can be used to automate complex medical workflows, potentially improving efficiency and reducing administrative burden.
Key Points
- 1Detailed guide to build a medical prior-authorization agent using Gemini
- 2Covers configuring the model, building external tools, and constructing an intelligent agent loop
- 3Agent reasons, acts, and responds entirely through structured JSON
Details
The article provides a step-by-step tutorial on how to design a complete agentic workflow in Gemini for automated medical evidence gathering and prior authorization submission. It explains the process of securely configuring the Gemini model, building realistic external tools, and constructing an intelligent agent loop that can reason, act, and respond entirely through structured JSON. The goal is to create a fully functional, tool-using medical prior-authorization agent powered by Gemini.
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