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APIs and documentation

February 14, 2024

Nava awarded prime contract to improve healthcare experiences for Medicare beneficiaries

We’ll partner with CMS to give Medicare beneficiaries and their healthcare partners the data they need to make informed decisions about their health.

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Centers for Medicare & Medicaid Services

Modernizing legacy systems to make data more usable

Our work with CMS shows that modernizing legacy systems by adopting cloud-based infrastructure is key to better data engineering practices.

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Centers for Medicare & Medicaid Services

Building interoperable data pipelines to support program outcomes

Our work with CMS and CDC shows that adopting cloud-based infrastructure is key to better data engineering practices

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State of Montana

Designing an API prototype for Montana WIC

Nava worked with the state of Montana’s WIC agency to build an API prototype, helping ease data management and informing a national API standard.

An older white woman, a middle-aged Native American woman, and a young Black man stand together at a table and point to a flow chart.

How our work with Montana WIC demonstrated the value of a national API standard

A national API standard can help fuel modernization to improve the WIC experience for staff, participants, and applicants.

August 25, 2022 at 8:00 PM UTC

Office Hours - WIC Technology for a better WIC experience

Learn how Montana is using human-centered design and technology to make WIC more accessible, and how you could apply that to upcoming grant funding.

Why human-centered testing is crucial to building government software

At Nava, we’ve leaned into modern and open-source frontend testing options to ensure seamless experiences for the constituents we serve.

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How APIs can help WIC better meet staff and participants’ needs

An API standard would unlock digital tools and catalyze WIC's ability to evolve and grow.

Centers for Medicare & Medicaid Services

The billion user load test

Nava’s Scalable Login System provides authentication and account management for millions on HealthCare.gov. We wanted to see how far it could scale.