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?
Industry insights
![Forging New Paths to Create a Healthier World [E-book]](/content/dam/optum-dam/images/business/pharmacy/transform-real-world-data-ebook-1080x720.png)
E-book
Explore how Optum Life Sciences can help you navigate the complexities of drug development and drive measurable outcomes.
Article
Clinical trial recruitment shortfalls are often the result of protocol designs that don’t reflect how care is delivered. Real-world data can make a transformative difference.
E-book
Maximize your investments with a more coordinated and connected real-world data strategy.
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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Guide
Heart failure
Learn how our predictive models and clinical rules identify disease prevalence and relevant patient cohorts for heart failure.
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Guide
Alzheimer’s disease
Learn how our predictive models and clinical rules identify disease prevalence and relevant patient cohorts for Alzheimer’s disease.
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*While the model will predict a diagnosis, it still falls solely on the provider to make this diagnosis.