Use Cases
Lighthouse supports a wide range of applications across clinical research, health outcomes, and AI development.
Clinical Trials & Feasibility
Accelerate trial planning with real-world patient insights
Protocol Feasibility
Cohort sizing: validate target patient populations against inclusion/exclusion criteria
Refine eligibility criteria based on real-world prevalence and co-morbidity patterns
Assess time windows for enrollment (e.g., diagnosis to treatment, disease progression milestones)
Evaluate data completeness for required endpoints and baseline characteristics
Recruitment Strategy (Optional)
Identify patient concentrations by geography and provider type
Assess site viability based on historical patient volumes
Support targeting strategies with demographic and utilization insights
Research & Outcomes
Generate real-world evidence for publication and regulatory use
Observational Studies
Treatment patterns: analyze real-world prescribing behaviors, dosing, and therapy duration
Longitudinal outcomes: track disease progression, hospitalizations, and clinical events over time
Comparative cohort studies: evaluate outcomes across treatment groups or patient subpopulations
Health economics: utilization, cost patterns, and resource consumption analysis
Use Cases
Comparative effectiveness research
Post-market surveillance and safety studies
Disease natural history and burden-of-illness studies
Regulatory submissions (RWE packages)
AI / ML Development
Build and validate predictive models with high-quality clinical data
Model Development
Training datasets: large-scale, labeled datasets with rich feature sets across demographics, diagnoses, procedures, meds, labs
Evaluation datasets: hold-out cohorts for validation and performance testing
Feature engineering support: structured, longitudinal data ready for time-series and event-based modeling
Diverse populations: test model generalization across age, gender, geography, and clinical contexts
Documentation & Governance
Data lineage: full provenance from source to delivery
De-identification reports: methodology and compliance attestation
Schema documentation: field definitions, coding systems, and data dictionaries
Reproducibility: versioned datasets with complete metadata
Have a protocol or model in mind?
Let's discuss how Lighthouse can support your specific data needs.
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