More than 80% of the world’s healthcare data is buried in unstructured narrative found within Electronic Medical Records (EMRs). Our platform transforms unstructured medical text into actionable insights - enabling the next generation of real-world evidence (RWE), faster clinical trials, and improved rare disease detection.

• Breakthrough speed & scale: Automatically parse millions of clinical notes in hours, not months versus manual chart reviews. Clinithink’s CNLP solution can process over 1 million documents per hour to match your performance needs.
• High-fidelity insights: Context-aware extraction built on 1.5 billion computable SNOMED CT expressions that supports a rich post-coordinated concept hierarchy, while handling misspellings, synonyms, acronyms, family history, and temporality.
• Proven in production: Trusted by top pharmaceutical companies and health systems to optimize clinical research and drive operational efficiencies.
• Regulatory ready: Designed for HIPAA/GDPR compliance and large-scale, secure deployments on Azure.
• No AI expertise required: Eliminate the complexities of building, training, and maintaining NLP models from scratch. Clinithink brings a consultative approach to setup, with a proven solution that lets you focus on delivering actionable insights across your organization.

Accelerate clinical trials

• Rapid cohort identification: Match patient cohorts to trial criteria in hours. Clinithink processed 270,000 patient records in under 24 hours to find eligible patients for a single trial.
• Protocol complexity management: Automatically flag exclusion/inclusion criteria, saving months in manual chart reviews.

• Context-aware phenotyping: Uncover comorbidities, disease progression, and treatment patterns by mining unstructured EMR text.
• Precision & scale for outcomes research: Published in ASCO (American Society of Clinical Oncology) for early lung cancer identification.
• Rare disease diagnosis: CLiX enabled the current Guinness World Record by helping diagnose a newborn’s genetic condition in 19 hours from data ingestion to final diagnosis.

• HIPAA-ready: Results can be returned as aggregations, providing an anonymized summary of the data without revealing PHI. Built-in encryption for data at-rest and in-transit safeguards Protected Health Information (PHI).
• Azure-native deployment: Easily spin up via Azure Virtual Machines and integrate with Azure Fabric or Databricks.

• Pharma & CROs (R&D, Medical Affairs, Principal Investigators): Expedite trials, pinpoint patient cohorts, and generate real-world evidence faster.
• Providers & IDNs (CMIOs, CIOs, Clinical Research Leaders): Automate chart reviews, reduce administrative burden, and identify high-risk patients earlier.
• Healthcare SIs & ISVs: Deliver innovative solutions by embedding Clinithink’s proven AI technologies, provide advanced data analytics solutions and build new recurring revenue streams.

• Global customer footprint: NHS Trusts, Northwell Health, AstraZeneca, Alexion, and more.

• Context-aware extraction: Understand synonyms, abbreviations, spelling errors, negations, temporality, and real-world physician notes.
• Massive vocabulary coverage: Grounded in 1.5 billion computable SNOMED CT expressions plus expansions with RxNorm and custom terminology concepts.

• Boost trial recruitment: Real-world usage shows months shaved off enrollment times.
• Enhance operational savings: One major health system saw significant staff time savings when automating chart reviews.

• Scalable architecture: Scale up or out on Azure VMs to feed big data environments (Databricks, Fabric, Synapse).
• Comprehensive support: Access Clinithink’s professional services and AI experts for seamless onboarding.