The Model Was Never the Hard Part
Clinical AI doesn't fail at the model. It fails underneath it, at the data. Why the integration layer is where healthcare AI projects live or die, and how Hydra Connect keeps it alive.
From Scan to Signed Finding: How One Integrated System Changes the Pace of Medical Research
Research teams don't lack data—they lack connected data. Following one pancreatic cancer study from raw PACS pull to a signed, fully traceable finding on the Hydra research workbench.
When Agents Grow Hands: How Hydra Brings Physical AI Into the Hospital
Healthcare AI has always had physical senses—imaging, labs, devices, wearables. What it lacked was hands. How Hydra lets agents sense and act in the physical hospital, with a human in command.
MDIA: A Multi-Agent Medical AI That Beats the Flagship
TietAI's multi-agent diagnostic pipeline scores 0.627 on HealthBench Professional, surpassing ChatGPT for Clinicians under OpenAI's own grader.
PySynthea: Python-Native Synthetic Healthcare Data
A Python-native reimplementation of Synthea for scalable synthetic EHR generation, FHIR export, notebooks, pandas, and ML workflows.
Tiet AI closes €2.5 million round to bring AI into the operational heart of hospitals
The seed round is backed by Plus Partners, JME Ventures, Banco Sabadell’s BStartup, Archipiélago Next, and business angels.
Clinical Coding Embeddings: General or Specific?
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.
Healthcare AI Starts with FHIR-Native Infrastructure
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.
Revenue Cycle Automation for Cleaner Claims
See how clinical documentation, medical coding, charge capture, and denial prevention can align before revenue is lost to billing errors and missed claims.
Better Clinical Trial Data for Pharma Teams
A guide to moving trial data from fragmented EHRs, labs, wearables, and CRFs into connected, analysis-ready evidence with OMOP mapping and EHDS readiness.
Turning Wearable Data into Clinical Signals
Explore how continuous data from watches, glucose monitors, smart patches, and adherence tools can reach care teams as usable real-time insight.
Navigating EHDS: Key compliance steps
Understand essential EHDS requirements and how to ensure your health data systems remain secure and interoperable.
How Synthetic Data Unlocks Better AI Models
An exploration of how systematically generated synthetic data enables accurate, efficient AI models in healthcare when real data is scarce or sensitive.
Leveraging AI for better outcomes
Discover how AI-driven analytics are transforming patient care and driving innovation in healthcare data integration.