Mitigating any data capture bias like geographical blind spots or biases based on academic versus community centers

Projecting up to capture total patient population while mitigating claims under capture

Ability to classify patient interactions for HCP without any sales information

Finding the true potential of each account enables target refinement and robust opportunity assessment

Compare the patient capture at national, state, and account levels with benchmarks across various datasets to get in-depth understanding of the bias and gaps in patient capture.

Use machine learning techniques and data bias understanding to develop projection factors for each account, filling in the missing patient potential.

Take advantage of robust validation mechanisms for data enrichment at the national level and deeper.