TRAC: AI-Powered Clinical Risk Intelligence
Txylo.com/10349583

AUSTIN, Texas - Txylo -- Healthcare improvement advocate Jennifer Hurley, CHCP, CPHQ, and Systemores LLC today announced a strategic collaboration to develop TRAC (Your Predictive Medico-Legal Risk Analyst). TRAC is an exploratory AI project designed to transform complex medical and legal documentation into actionable clinical risk intelligence.

TRAC is part of the Systemores "fleet strategy," where modular applications are deployed to stress-test the proprietary Systemores Core engine. By creating structured clinical timelines and identifying patient safety signals, TRAC aims to help risk managers and legal teams spend less time searching through records and more time applying their expertise.

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Exploring AI with the Community

As an exploratory initiative, a core objective of the TRAC project is to engage directly with the healthcare and legal communities. Systemores and Hurley are seeking to understand professional sentiment regarding AI adoption, specifically addressing concerns around data privacy and the need for high-provenance, deterministic outputs. This collaborative feedback loop will ensure the platform aligns with the actual needs of frontline practitioners.

"Every malpractice case contains lessons that can strengthen healthcare systems," said Hurley. "By exploring these signals with the community, we can build tools that not only improve case preparation but ultimately help prevent future harm."

https://trac.systemores.com/

About Systemores

Systemores LLC is a behavioral systems research and modeling company based in Austin, Texas. Its proprietary engine, Systemores Core, processes human behavioral signals into actionable calibration data to enhance decision-making in complex environments.