Scientifically removed biases
Mitigating any data capture bias like geographical blind spots or biases based on academic versus community centers
National-and-deeper level projection
Projecting up to capture total patient population while mitigating claims under capture
Classification for missing HCP interactions
Ability to classify patient interactions for HCP without any sales information
Enhanced downstream insights
Finding the true potential of each account enables target refinement and robust opportunity assessment
Understanding of data capture biases
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.
Advanced AI to mitigate the data capture bias
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.