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Saving lives with data by providing regulatory-grade safety and effectiveness data.

AI-orchestrated patient recruitment and clinical trial lifecycle management.

Clinica.ai is an enterprise-grade AI orchestration platform designed to solve the critical bottleneck of patient recruitment and site management in clinical research. The technical architecture leverages proprietary Natural Language Processing (NLP) models to ingest unstructured Electronic Health Record (EHR) data and cross-reference it against complex trial eligibility criteria with high precision. By 2026, Clinica has positioned itself as a central 'Intelligence Layer' that sits between Contract Research Organizations (CROs) and clinical sites, automating the identification of eligible participants through real-time HL7 FHIR data streams. The platform utilizes Large Language Models (LLMs) to power patient-facing conversational interfaces that pre-qualify leads, significantly reducing the burden on site coordinators. Its predictive analytics engine provides sponsors with high-fidelity enrollment forecasting, enabling data-driven decisions on site selection and protocol adjustments. Strategically, Clinica focuses on therapeutic areas with high recruitment difficulty, such as oncology and rare diseases, providing a localized, multilingual approach to global clinical trials while maintaining strict adherence to data sovereignty and ethical AI standards.
Clinica.
Explore all tools that specialize in nlp screening. This domain focus ensures Clinica.ai delivers optimized results for this specific requirement.
Proprietary NLP engine that extracts clinical insights from physician notes, pathology reports, and imaging metadata.
Machine learning models trained on historical trial performance data to forecast recruitment curves.
Real-time synchronization with major EHR vendors using modern HL7 FHIR standards.
Simulates trial protocols against historical patient databases to identify restrictive criteria.
LLM-driven patient intake bots capable of handling 40+ languages with medical nuance.
Automated PII scrubbing at the edge before data leaves the hospital firewall.
Algorithmic ranking of clinical sites based on historical speed, data quality, and retention.
Initial secure environment setup within a HIPAA-compliant VPC.
Connection to hospital EMR/EHR systems via HL7 FHIR or secure SFTP.
Protocol ingestion and digitization using Clinica's AI extraction tool.
Mapping inclusion/exclusion criteria to standardized medical ontologies (SNOMED, ICD-10).
Configuration of patient-facing conversational AI screening workflows.
User Role-Based Access Control (RBAC) setup for Site Coordinators and PIs.
Sandbox testing with synthetic patient data to validate matching logic.
Compliance audit and validation of data de-identification protocols.
Official Go-Live and real-time recruitment dashboard activation.
Continuous model monitoring and feedback loop implementation for site performance.
All Set
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Verified feedback from other users.
"Highly praised by CROs for reducing screening time. Sites appreciate the reduced manual paperwork. Some learning curve for older EMR integrations."
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