Use case
Accelerate Clinical Trials
Clinical trials often stall due to fragmented, inconsistent data flowing from hospitals, labs, and imaging systems. TietAI solves this by automating end-to-end clinical data integration — securely connecting EHRs, LIMS, and PACS, standardizing formats and codes, and ensuring full anonymization and traceability.
The Challenge
Pharma, biotech, and CROs depend on timely, high-quality data from hospitals, labs, and imaging centers — but clinical data rarely arrives clean, complete, or consistent. Site-level EHRs capture patient information in different formats and coding systems, while eligibility and visit data are often buried in free-text notes or spreadsheets.
This fragmentation slows recruitment, causes protocol deviations, and creates compliance risks when sensitive data moves across systems. Manual reconciliation and reformatting between HL7, FHIR, and CSV exports delay analyses, while anonymization and lineage tracking remain error-prone. The result: trials start later, cost more, and struggle to maintain regulatory-grade traceability.
The Solution
TietAI enables sponsors, CROs, and research networks to automate end-to-end data integration for clinical studies — from site ingestion to anonymized, analysis-ready data delivery. Our platform connects securely to EHRs, LIMS, and imaging systems; harmonizes data using deterministic AI mapping; and enforces data quality, matching, and lineage rules to ensure full regulatory traceability.
Anonymization & Governance by Design
Protect patient privacy with irreversible pseudonymization, consent tracking, and full lineage/audit for every dataset.
Protocol Automation
Turn study protocols into executable workflows — eligibility, dosing rules, and visit schedules managed automatically.
AI-Powered Data Normalization
Standardize patient identities, clinical concepts, and measurements across sources using ICD-10, SNOMED CT, and LOINC mappings.
The Impact
A proper data strategy with the right technology transforms clinical research from a fragmented, manual process into a connected, intelligent ecosystem. By automating the flow of clean, anonymized data from hospitals, labs, and imaging systems, it gives sponsors and CROs instant access to analysis-ready insights with full regulatory traceability. Trials start faster, adapt in real time, and meet the highest standards of data integrity and privacy. The result: reduced time to market, lower operational costs, and a new pace of innovation in precision medicine and life sciences discovery.