TietAI's multi-agent diagnostic pipeline scores 0.627 on HealthBench Professional, surpassing ChatGPT for Clinicians under OpenAI's own grader.
A Python-native reimplementation of Synthea for scalable synthetic EHR generation, FHIR export, notebooks, pandas, and ML workflows.
The seed round is backed by Plus Partners, JME Ventures, Banco Sabadell’s BStartup, Archipiélago Next, and business angels.
A TietAI study showing that a Spanish biomedical bi-encoder with cross-encoder reranking outperforms public embeddings and BM25 on ICD-10/CIE-10-ES coding search.
A practical deck on connecting US health systems with FHIR R4, HIPAA-ready integrations, and AI-native data infrastructure that turns fragmented clinical systems into clean, usable data.
See how clinical documentation, medical coding, charge capture, and denial prevention can align before revenue is lost to billing errors and missed claims.
A guide to moving trial data from fragmented EHRs, labs, wearables, and CRFs into connected, analysis-ready evidence with OMOP mapping and EHDS readiness.
Explore how continuous data from watches, glucose monitors, smart patches, and adherence tools can reach care teams as usable real-time insight.
Understand essential EHDS requirements and how to ensure your health data systems remain secure and interoperable.
An exploration of how systematically generated synthetic data enables accurate, efficient AI models in healthcare when real data is scarce or sensitive.
Discover how AI-driven analytics are transforming patient care and driving innovation in healthcare data integration.
