Rede Américas, one of the largest private hospital networks in Latin America, operates a growing ecosystem of hospitals and specialized oncology units. As the network expanded, some of the clearest signals about a patient's next step in care remained locked inside unstructured clinical data that systems struggled to interpret or act on.
Working with Indicium AI, Rede Américas used AI to connect the right patients to the right care faster, and to make the operation behind it more efficient and sustainable.
The Challenge: Patient Needs Hidden in Clinical Data
Much of what matters most in healthcare lives in free text. Rede Américas relied on conventional keyword and Regex-based text mining that could extract terms but couldn't interpret clinical context, weigh patient history, or recognize when a patient might benefit from a service elsewhere in the network. This approach achieved approximately 65% accuracy and required curation by a highly qualified technical team to help ensure the right patients could access the right care.
The Solution: An AI Layer for Care Access, Built on a Solid Foundation
- An AI agent for care navigation and identifying unmet patient needs. The agent reads clinical narratives with context, interpreting records and patient history to surface patients who need care. It delivers:
- Contextual analysis of unstructured records to surface real patient needs
- Automated detection of patients needing follow-up, integrated into the existing data environment
- Business-rule-based routing to the correct care pathway, including ambulatory and emergency care
- A data platform future-proofed for reliability and efficiency. Across 24 hospitals, Indicium AI and Rede Américas' data team optimized the organization's data architecture (Composer, DataProc, BigQuery) for cost-efficiency, governance, and data quality. A proof of concept delivered a 4x performance increase with zero downtime.
The Impact: Faster, More Precise Care
The impact was immediate and measurable, particularly for patients. Care that once went undetected in unstructured data is now visible and actionable, and Rede Américas can identify needs earlier and route patients to the right care.
- 95%+ accuracy in identifying patients who need follow-up care
- 157% ROI in 4 months
- A highly qualified technical team that once spent much of its time manually reviewing a high volume of inadequate findings can now dedicate more time to higher-value work and better patient care
What's Next: Scaling AI Across the Care Network
Rede Américas and Indicium AI are moving from targeted use cases to an enterprise-wide capability, extending the AI agents across all Hospital Information Systems. For patients, that means a network that recognizes and responds to their needs with increasing precision; for Rede Américas, a durable AI foundation for growth.
