Epic Patient Access Analyst - Cadence/Prelude & RTE

The University of Texas at Austin

Austin (TX)

On-site

USD 71,000 - 87,000

Full time

14 days+
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Job summary

The University of Texas at Austin is seeking an Epic Application Analyst – Patient Access to support Cadence, Prelude, and Real-Time Eligibility. The role focuses on patient registration, scheduling, insurance verification, and front-end revenue cycle workflows through configuration, testing, implementation, and production support.

You will collaborate with clinical, operational, and IT teams to analyze workflows, design solutions, and optimize Epic Patient Access processes in a dynamic

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Health Informatics, Healthcare Administration, or a related field.
  • At least three years of experience supporting Epic Patient Access applications, including build, configuration, testing, implementation, optimization, and production support.
  • Experience with Cadence, Prelude, and Real-Time Eligibility workflows.

Responsibilities

  • Analyze clinical, business, and technical processes to develop system solutions for Epic Patient Access.
  • Manage upgrades, implementations, and optimization initiatives.
  • Provide technical and application assistance for patient registration, scheduling, insurance verification, and eligibility workflows.
  • Document configurations and workflows and coordinate with stakeholders to prioritize initiatives.

Skills

Epic Cadence
Epic Prelude
Real-Time Eligibility
Workflow analysis
Communication
Project management

Education

Bachelor’s degree in Computer Science or related

Job description

The University of Texas at Austin is seeking an Epic Application Analyst – Patient Access to support Cadence, Prelude, and Real-Time Eligibility. The role focuses on patient registration, scheduling, insurance verification, and front-end revenue cycle workflows through configuration, testing, implementation, and production support.

You will collaborate with clinical, operational, and IT teams to analyze workflows, design solutions, and optimize Epic Patient Access processes in a dynamic

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