Solution

ZS Enhanced Provider Opportunity

ZS Enhanced Provider Opportunity is an advanced artificial intelligence and machine learning (AI/ML) solution that overcomes real-world data (RWD) biases and identifies the real potential of physicians and accounts.

Solution

ZS Enhanced Provider Opportunity

ZS Enhanced Provider Opportunity is an advanced artificial intelligence and machine learning (AI/ML) solution that overcomes real-world data (RWD) biases and identifies the real potential of physicians and accounts.



Medical data and spreadsheet dataBusinessmen working over graph on table

WHAT WE DO

Challenges we solve

Helps clients accomplish robust customer prioritization using real world data



WHAT WE DO

Challenges we solve

Helps clients accomplish robust customer prioritization using real world data

Scientifically-removed-biases

Scientifically removed biases

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

National-and-deeper level projection

National-and-deeper level projection



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

Classification-for-missing-HCP-interactions

Classification for missing HCP interactions

Classification for missing HCP interactions



Ability to classify patient interactions for HCP without any sales information

Enhanced-downstream-insights

Enhanced downstream insights

Enhanced downstream insights



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

HOW WE DO IT

ZS’s approach

ZS Enhanced Provider Opportunity solution identifies the true potential of each account, enabling better opportunity assessment. These insights are based on multiple data sources, proprietary algorithms and ZS’s pharma domain expertise.



HOW WE DO IT

ZS’s approach

ZS Enhanced Provider Opportunity solution identifies the true potential of each account, enabling better opportunity assessment. These insights are based on multiple data sources, proprietary algorithms and ZS’s pharma domain expertise.


Understanding of data capture biases

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

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.


Validation mechanisms

Validation mechanisms



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

Connect with our experts



Connect with our experts