Data Science 

Influence human behavior
with predictive models 

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Predictive Models for Personalized Care 


CPS Analytics designs predictive models to deliver actionable insights where you can make a difference for patients. By leveraging datasets rich in patient and pharmacist experiences, regional attributes, and social determinants of health (SDOH), our predictive models generate outputs that can influence human behavior, so you can reduce risk with higher adherence and lower medication switch rates.

Benefits of Data Science with CPS Analytics 

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Analyze clinical outcome trends and take action to improve adherence 

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Identify easily adjustable risk factors that improve treatment outcomes 

Target

Adjust strategies for targeted groups including demographics, medications, etc. 

CPS Analytics data is different—

it comes from a unique specialty pharmacy ecosystem. 

CPS provides the specialty patient care management system to hundreds of pharmacies nationwide. This technology allows us to gather thousands of patient journey insights, some of which are not available through any other source.  

 
By utilizing this primary source data, we design our predictive models for use in the widest population possible and test them across multiple cohorts. These models can report the risks of non-adherence, medication discontinuation, brand switching, patient recruitment, readmission, and other custom metrics.

1,000+

Medications Dispensed
by Specialty Pharmacies
& Infusion Centers

1,000+

ICD Codes, Including Rare,
Orphan, & Hard-to-Reach

Disease States

40+

Therapeutic Areas,
Defined by Specialty
Pharmacy Requirements 

Our Data Science Model

Eliminating the guesswork from your product’s performance 

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Actionable

While other predictive models in healthcare point to unchangeable factors, CPS Analytics focuses on ones you can actually influence.

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Flexible

We build our predictive models from scratch using proprietary data, allowing them to always respond to customer needs. 

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Measurable

The performance of every predictive model from CPS Analytics can be validated by industry metrics and customer feedback. 

Success Stories

Learn how CPS Analytics helps amplify personalized care models with targeted support 

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Large, Northeastern
Academic Medical Center 

Our team stratified non-adherence risk factors for rheumatoid arthritis patients to advise staff when and how to intervene for optimal outcomes. 

Download the Case Study  
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Let's Get
Started

Start the journey to unlock your powerful insights by getting in touch with our experts today. 
Contact Us