CuRE — Collaborative Research Ecosystems
RWD-native, AI-native research infrastructure
Twelve integrated products that capture, connect, translate, analyze, and activate multi-source health data across institutional boundaries — turning fragmented real-world data into one governed research record that speaks FHIR, OMOP, and SDTM/CDASH fluently.
A different approach
RWD-native: data first, studies second
Traditional research platforms start with a study protocol and build data collection around it. CuRE inverts this: patient data flows continuously into a governed common model, and studies layer on top of data that already exists.
This bottom-up approach means studies start in weeks, datasets are richer, and one infrastructure serves many studies at once — because the data isn't locked inside a single protocol, and every product composes on the same governed record instead of bolting together.
- RWD-native: Data flows continuously into a governed common model; studies layer on top of data that already exists
- AI-native: Attributable, human-in-the-loop AI across capture, validation, and mapping — with confidence, sources, and correction paths
- Tightly integrated: One platform, one governed record across all twelve products — no flat-file islands or nightly reconciliation
- No enterprise tax: Enterprise-grade compliance without per-seat surprises — non-profit and academic friendly
- Fast startup: Production-ready in weeks, not months; amendments are config diffs, not multi-week vendor projects
Studies & Applications
Registries, trials, decision support, safety monitoring
OMOP Data Foundation
Harmonized, governed, multi-institutional
Patient & Clinical Data
EHRs, patient-reported outcomes, labs, claims
Three at the Core. Nine products. One governed record.
CuRE Core — Conduit, Conduct, and Control — builds and governs one shared OMOP record. The nine products each draw on that record and write value back, so every event lands on the same governed foundation instead of in a flat-file island.
CuRE Core
— Builds and governs the shared OMOP recordProducts
— Each draws on the shared record and writes value backAI-driven data capture and validation
Patient portal, ePRO, and eConsent
Clinical decision support
Analytics hub: cohorts, characterization, and Briefings
Randomization and trial supply management (RTSM)
Risk-based quality management (RBQM)
OMOP-native research engagement marketplace
Pharmacovigilance and safety signal detection
Automated cytogenetics parsing
CuRE Core
Products
AI-driven data capture and validation
Patient portal, ePRO, and eConsent
Clinical decision support
Analytics hub: cohorts, characterization, and Briefings
Randomization and trial supply management (RTSM)
Risk-based quality management (RBQM)
OMOP-native research engagement marketplace
Pharmacovigilance and safety signal detection
Automated cytogenetics parsing
AI-driven data capture and validation
Intelligent electronic data capture (EDC) designed for hybrid automated and manual data collection. Integrates directly with EMRs via SMART on FHIR to extract structured data, while supporting chart abstraction, NLP, and OCR for unstructured sources.
Key capabilities
- Standards-based eCRF design
- SMART on FHIR EMR data extraction
- NLP and OCR for unstructured sources
- AI-based validation and quality checks
- Hybrid auto/manual capture workflows
- Multi-site data translation
EHR connectivity and FHIR data ingestion
The connectivity layer between clinical systems and the CuRE data infrastructure. Conduit provides SMART on FHIR applications that embed directly in EHR workflows, enabling automated, real-time data ingestion from electronic health records into the research ecosystem.
Key capabilities
- SMART on FHIR EHR integration
- Real-time clinical data ingestion
- Automated data extraction from clinical workflows
- FHIR resource mapping and normalization
- Multi-site EHR connectivity
- Bidirectional data exchange
Patient portal, ePRO, and eConsent
Patient-facing engagement tools that capture the patient perspective directly. Compass provides mobile-friendly portals for electronic patient-reported outcomes (ePRO), electronic consent (eConsent), and disease support — giving patients a voice in their research journey.
Key capabilities
- ePRO and eCOA capture
- Electronic informed consent (eConsent)
- Patient-facing mobile portals
- Disease support applications
- Medication and symptom tracking
- Multilingual and accessible design
FHIR-to-OMOP mapping and orchestration
The backbone of the CuRE data infrastructure. Conduct translates heterogeneous health data from FHIR and other clinical formats into a unified OMOP common data model — handling the hard problems of cross-institutional work: semantic mapping, data governance, de-identification, and quality orchestration.
Key capabilities
- FHIR-to-OMOP semantic translation
- Multi-source data harmonization
- Cross-institutional governance and de-identification
- Data quality orchestration and validation
- Cohort and enclave management
- Standards-based interoperability (FHIR, OMOP, i2b2)
Analytics hub: cohorts, characterization, and Briefings
The analytics hub of the platform. Calculate turns OMOP-standardized data into actionable insight through cohort building, characterization, Briefings, and self-serve research enclaves — backed by a reproducible methods library and predictive methods so analyses are transparent, repeatable, and submission-ready.
Key capabilities
- Cohort building and characterization
- Briefings and submission-grade outputs
- Self-serve research enclaves
- Reproducible methods library
- Predictive and AI/ML methods
- Stakeholder portals and dashboards
Clinical decision support
Clinical decision support embedded directly in the EHR via SMART on FHIR. Cue delivers point-of-care alerts, guideline recommendations, and outcomes context with visible citations — closing the loop between research and clinical practice with intelligence the clinician can inspect and trust.
Key capabilities
- EHR-embedded via SMART on FHIR
- Point-of-care alerts and reminders
- Guideline-based recommendations
- Outcomes context with visible citations
- Treatment pathway and cohort comparison views
RWD-native study operations and registry lifecycle
Purpose-built for studies that run on real-world data rather than traditional EDC. Control manages the full lifecycle of registries and RWD-native studies — from protocol design and site activation to enrollment tracking and regulatory submissions — all powered by the OMOP data already flowing through the CuRE ecosystem.
Key capabilities
- Registry and study lifecycle management
- RWD-native protocol design
- Site activation and enrollment tracking
- Regulatory submission support
- Milestone and deliverable tracking
- Multi-study portfolio management
Randomization and trial supply management (RTSM)
Randomization and trial supply orchestration built on the same OMOP substrate as the rest of CuRE. Cascade's in-house algorithm core covers block, stratified-block, biased-coin, minimization (Pocock-Simon), and restricted designs; trial supply tracks site and depot inventory, shipments, expiry, and resupply; code-break and emergency unblinding carry a full audit trail. Amendments are config diffs, not multi-week vendor projects, and every randomization and dispensation event lands on the shared research record.
Key capabilities
- Randomization engine — block, stratified, biased-coin, minimization, restricted
- Trial supply & depot inventory orchestration
- Code-break / emergency unblinding with full audit trail
- AI-aided supply forecasting from enrollment models
- Amendments as versioned config diffs
- Events written to the shared OMOP research record
Risk-based quality management (RBQM)
Risk-based quality management for regulated data work. Caliber brings centralized statistical monitoring (CSM), Key Risk Indicators (KRIs), and CAPA workflows to RWD-native studies — surfacing data anomalies and site-performance issues early and producing the quality and trust signals that regulated research demands.
Key capabilities
- Centralized statistical monitoring (CSM)
- Key Risk Indicators (KRIs) and thresholds
- CAPA tracking and resolution workflows
- Site-performance and data-anomaly detection
- Quality and trust signals for regulated data work
- RWD-native, built on the shared OMOP model
OMOP-native research engagement marketplace
A community-pooled engagement layer that connects research sites with sponsors, CROs, and PIs. Commons publishes structured site capability metadata, sponsor research interests, and trust signals so OHDSI-aligned networks can move from discovery to study engagement faster.
Key capabilities
- Structured site capability profiles
- Sponsor and PI research-interest publishing
- OMOP-derived counts and capability signals
- Trust and verification tiers for site listings
- Community reciprocity and data-as-currency workflows
- Pathway from discovery to contracting and study execution
Pharmacovigilance and safety signal detection
Pharmacovigilance built on the shared research record. Canary handles adverse-event case management, MedDRA coding, narrative review, and E2B(R3) regulatory export, with OMOP-native signal detection (PRR / ROR / EB05) — surfacing safety signals early, like a canary in the coal mine.
Key capabilities
- AE case management and triage
- MedDRA coding and narrative review
- E2B(R3) regulatory export
- OMOP-native signal detection (PRR / ROR / EB05)
- Pharmacovigilance dashboards
- Built on the shared OMOP safety record
Automated cytogenetics parsing
Specialized tooling for parsing ISCN cytogenetic nomenclature into structured, computable data. Cyto transforms complex karyotype strings into standardized representations that integrate seamlessly into the OMOP-based research infrastructure.
Try the live demoKey capabilities
- ISCN string parsing and validation
- Structured abnormality extraction
- Composite karyotype support
- Web, API, and batch processing modes
- Integration with OMOP genomic extensions
See the platform in action
Every research ecosystem is unique. Let's discuss how CuRE can be configured for your needs.