Real World Evidence

Turning real-world data into evidence that shapes clinical outcomes, regulatory strategy, and market access.

Core Solutions

Patient Source–Driven Analytics

Leverage patient-generated data for actionable insights.

  • Behavioral & adherence analysis
  • Journey forecasting (claims, EMR, wearables)
  • Predict Switch/Risk events
  • Personalized intervention triggers

Payer Source–Driven Analytics

Unlock payer data to optimize market access.

  • Benefit design & co-pay impact
  • Payer segmentation & landscape mapping
  • Market sizing & utilization analytics
  • Therapy adherence & line-of-therapy studies

Provider / Prescriber Source–Driven Analytics

Curated provider/prescriber analytics from supplied content.

  • Customer Segmentation by behavior and potential
  • Early Adopter Identification
  • KOL / Influencer Identification
  • HCP Communication & Field Optimization(email, call & sample optimization)

Our Methodology

Multimodal Data Integration

Data-Decisive ingests and harmonizes diverse data types—genomic sequences, imaging, clinical trial records, real-world evidence, and structured lab outputs—into a single, queryable schema. By aligning disparate sources through standardized ontologies and metadata tagging, the system ensures:

  • Seamless join‑operations across modalities without manual ETL scripts
  • Automated conflict resolution via provenance tracking and confidence scoring
  • Rapid cohort selection using federated search across clinical and molecular data

Machine Learning Pipelines

End-to-end ML workflows are orchestrated—from data ingestion through model deployment—using containerized, reproducible components. Key capabilities include:

  • Feature engineering modules for high-dimensional omics, imaging, and EHR data
  • Automated hyperparameter tuning and model selection with built-in benchmarks
  • Continuous training loops driven by newest real-world and trial data
  • Transparent model registry with version control, metadata, and audit logs

Privacy‑Compliant Analytics Procedures

To meet stringent healthcare privacy regulations (HIPAA, GDPR, etc.), we embed compliance at every step:

  • Role-based access controls and dynamic anonymization policies
  • On-the-fly data masking and tokenization for sensitive fields
  • Federated analytics enabling model training on local data silos without raw data exchange
  • Immutable audit trails for every data access, transformation, and model inference

What is unique

Advanced ML for longitudinal analytics

Deep learning models designed to uncover long-term patient patterns and outcomes.

Customizable dashboards for actionable insights

Interactive, role-based dashboards tailored to brand and payer teams.

Real-world, real-time support

On-demand analytics and expert consultation to inform critical decisions.

Get Started with Real World Evidence