Advanced analytics and predictive modeling
- Understand obstacles preventing members from getting diagnosed*
- View the current and future market share of medications specific to targeted sub-populations, regions and providers
- Identify the true population eligible for a specific drug
- Prioritize locations and providers with the highest access to potential consumers
Key benefits
Learn how our pharma intelligence platform can help you get the data you need.
Stratify with specifics
Stratify medical and prescription claims data of 30 million real-world lives — diagnoses, procedures, prescriptions and labs — to spot disease prevalence.
Identify relevant patient cohorts
Using more than 70 predictive models and 200 rules, find patient cohorts suspected of having the disease you’re targeting.
Narrow further
Drill further to the provider level, enabling you to sharpen your sales strategy.
How does it work?
Find candidates for your drug by selecting the relevant condition, along with the stratification criteria. Drill down into high prevalence areas to find a provider-based target population.
Interested in seeing the state and hyper-local detail?
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On-demand webinar
Optum experts give a snapshot of commonly encountered pitfalls when using RWD and recommendations to help avoid them in this PMSA webinar.
Product information and resources
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Learn more about Optum Enlighten
Get all the details about this pharma intelligence platform to give you the advanced analytics and predictive data that you need.
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Guide
Severe asthma
Learn how our predictive models and clinical rules identify disease prevalence and relevant patient cohorts for severe asthma.
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Heart failure
Learn how our predictive models and clinical rules identify disease prevalence and relevant patient cohorts for heart failure.
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Alzheimer’s disease
Learn how our predictive models and clinical rules identify disease prevalence and relevant patient cohorts for Alzheimer’s disease.
*While the model will predict a diagnosis, it still falls solely on the provider to make this diagnosis.