What We Do

Put simply, we solve various problems in the healthcare industry by leveraging our unique expertise in the field of data science.

We employ our proprietary data science methods to quickly ingest, clean, and analyze large data sets. We have developed advanced reporting, underwriting, and sales tools that provide our clients with actionable solutions.

  1. Data Warehousing
  2. Quality Analytics
  3. Descriptive Analytics
  4. Predictive Analytics
  5. Prescriptive Analytics
Data Warehousing

We consolidate data into a single, secure, and scalable data warehouse. Data is normalized and stored in a safe, encrypted database for in-depth analysis.

Quality Analytics

We preserve data quality through best-in-class machine learning, providing quick solutions for the identification of data discrepancies, member matching inconsistencies, outdated data validations, and slow processing times.

Descriptive Analytics

We define the past by identifying lag measures, providing high-level views of total block performance, and drilling down individual views by critical metrics. We stratify risk to the member level and provide a series of financial and clinical automated reports.

Predictive Analytics

Our proprietary, best-in-class risk score methodology accurately identifies the risk of a given population with or without claims data.

Prescriptive Analytics

Our one-of-a-kind prescriptive software quickly processes billions of scenarios and presents custom, actionable recommendations to end users.

Why Benefits Science?


  1. Timely

  2. Accessible

  3. Accountable

  4. Compliant

  5. Customized

  6. Secure

  7. Targeted

“BST stands apart in our ability to report on a plan’s financial health in minutes, not weeks. We transform a tedious manual process into a fast, automated one. Insights are based not on projections, but actual population experience, describing what has occurred, predicting what’s likely to occur next and prescribing specific action to meet the financial and quality objectives of the plan.”

– Stephen Sofoul, CEO

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