Abacus Insights Joins the AWS ISV Accelerate Program Read Press Release

Abacus Insights Joins the AWS ISV Accelerate Program Read Press Release

Get to the Finish Line With All the Usable Healthcare Data You Want and Need

Abacus Insights Finish Line infographic

Data that is usable and interoperable for:

Find out more about these and our other solutions for payers driven by the most powerful Data Transformation Platform for payers.

An Insight Series for Payers

Health Planning from Abacus Insights is an executive insight series specifically developed for payers and their partners. Emphasizing practical solutions and strategies to tackle pressing issues and seizing opportunities in healthcare, its blog focuses on how to use technology and data to achieve key goals. Its upcoming video series features executive advice on the payer role in addressing major healthcare trends and challenges to drive improved outcomes, costs and member experience.

Usable Data Is the Difference.

Unmatched in achieving payer goals through a new standard of usability that meets six dimensions and is interoperable.

  • Complete

    Consolidate and normalize structured, unstructured, internal and external data sources into a 360 view/longitudinal patient record.

  • Accurate

    Clean data, rooting out redundancies and errors, with the ability to trace data lineage.

  • Timely

    Deliver and receive updates using all legacy and new interfaces and protocols to meet the need for current information.

  • Application and Use-Case Agnostic

    Work with every analytical and operational application, system, format, and business need.

  • Relevant

    Apply context to identify and separate germane from extraneous data, jettisoning the clutter.

  • Versatile

    Able to extract, bundle and deliver just the right data in desirable formats (YOUR format) for each specific use case.

Delivering wins for the tech team who produces the data and the payer professionals who use it every day.

Unique Members

21+ Million

Time to Value

4-6 Months

Use Cases

25+

valued at over $10 million in realized MLR savings

Total Cost of Ownership

60%

lower than internal/
other options

The first

LPR for Payers

Data Updates

15 Min.

vs. industry average
of 24 hours

Testimonials

Our payer clients reach transformational business goals, like deepening member experiences, strengthening working relationships with providers and meeting compliance and reporting requirements. They put themselves squarely on the path of defining and delivering healthcare value by leveraging data that promotes quality care and managing costs.

Abacus Insights is helping us build the data and technology foundation to support our enterprise goals of bending care and cost curves at an industry-leading level. Closing the gap between data updates is an important milestone as we stretch to take care of our members with better experiences and care.

Vicki Hildebrand
Chief Information Officer
Blue Cross Blue Shield Massachusetts

Abacus Insights’ capabilities and payer expertise help us deliver new levels of data quality, accuracy, and velocity from increasingly large and diverse sources: operational, clinical, digital, AI, and third-party channels. Abacus gives Cambia a new level of control and flexibility in enabling our products and services to make our members’ experiences in healthcare easier and their lives better.

Laurent Rotival
CIO and Senior Vice President of Strategic Technology Solutions
Cambia Health Solutions

We partner with your tech team and apply our knowledge of your front-end business to ensure management from director to C-suite has access to USABLE and interoperable data.

Request a Demo Today

News and Events

December 19, 2023 | Risk Adjustment Gets Usable Data at Last. Register for our upcoming webinar with AHIP and Blue Cross of Idaho.

June 27, 2023 | Webinar: How Payers Can Overcome Legacy Constraints to Drive Business Value on the Cloud. Watch on demand now.

May 30, 2023 | Driving Data Usability for Health Plans through Simplified Data Quality Enforcement with Databricks. Read the blog.