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healthcare · 2024 · Priority Health (credentialing platform)

Priority Health credentialing — medical credentialing and enrollment platform

Full-stack medical credentialing and enrollment platform: clinical professionals and administrators collaborating on structured staff-qualification data.

Priority Health credentialing — medical credentialing and enrollment platform — case study
  • 1 platform: credentialing + enrollment replacing the multi-document, multi-spreadsheet baseline scope record
  • Joint clinical + admin collaborative data structuring with healthcare professionals engagement record

Context

Priority Health specializes in medical credentialing and enrollment: the work behind making sure clinical staff have the qualifications, certifications, and approvals required to deliver patient care. The platform brief was a full-stack web application to carry that workflow.

Problem

Credentialing data has shape that off-the-shelf forms don’t capture well: certifications expire on different cycles, qualifications come from different bodies, enrollments are facility-specific. Without a careful data model designed with clinical staff, the platform becomes another spreadsheet replacement that drifts.

Approach

A full-stack TypeScript build with REST APIs in front of the credentialing data model, designed jointly with healthcare professionals and administrators. Data-security and patient-data-privacy concerns drove architectural decisions throughout: encryption posture, access control, audit, and retention rules built into the data layer, not bolted on after.

Solution

  • Full-stack TypeScript web application with REST APIs.
  • Credentialing and enrollment data model designed jointly with clinical staff and administrators.
  • Data-security and privacy controls integrated at the database and API layers.
  • Web surfaces for credentialing data entry, enrollment workflows, and admin oversight.

Outcome

Above. The collaborative-design loop with the clinical team is the load-bearing process decision: credentialing data without clinical-staff input ends up being a spreadsheet pretending to be a platform.

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