Secure generative AI for clinical and administrative operation

Introduction

A Latin American health insurer and hospital network processed tens of thousands of documents—such as medical orders, invoices, and reports—via manual data entry each month.

Its contact center handled a high volume of interactions, mostly repetitive inquiries regarding coverage, appointments, and authorizations, while clinical staff spent significant time reviewing extensive medical records.

The organization wanted to leverage generative AI, but in healthcare, an incorrect response is not a minor error; it represents a clinical and regulatory risk.

To address this challenge, the institution worked with Rootstack to design and implement an AI platform featuring controlled knowledge retrieval, clinical guardrails, and human oversight.

A Latin American health insurer and hospital network processed tens of thousands of documents—such as medical orders, invoices, and reports—via manual data entry each month.

The organization wanted to leverage generative AI, but in healthcare, an incorrect response is not a minor error; it represents a clinical and regulatory risk.

To address this challenge, the institution worked with Rootstack to design and implement an AI platform featuring controlled knowledge retrieval, clinical guardrails, and human oversight.