novelty-gap-mapper

To identify clinical research gaps, compare existing evidence reports against a target drug and indication using a six-axis framework covering Population, Intervention, Comparator, Outcome, Time, and Setting. This systematically classifies unaddressed areas to reveal high-value opportunities.

Quantifying research gap novelty involves applying a multi-criteria weighted scoring formula to each identified gap. This generates a quantified novelty score per gap and an overall score, allowing you to rank and prioritize research opportunities objectively.

EHR and real-world data (RWD) factor into research gap mapping by identifying data-driven differentiation and timing advantages. Leveraging the company's EHR-RWD strengths helps assess feasibility and guides the resourcing of prioritized clinical research opportunities.

Yes, you can generate a structured novelty gap analysis by providing an evidence report path alongside the target drug and indication. The analysis outputs a gap summary, detailed classification, and recommended actions based on a standardized template.

Mapping unaddressed clinical evidence areas to actionable opportunities is done by plotting identified gaps against a feasibility matrix. This guides prioritization and resourcing by highlighting where your EHR-RWD strengths align with high novelty scores.

The six-axis framework for research gap classification is limited to Population, Intervention, Comparator, Outcome, Time, and Setting. It requires existing evidence reports and company EHR-RWD data inputs to function, meaning gaps outside these axes or data sources remain unclassified.