Patient Access Manager for AI Evaluation

Lead and improve front-end healthcare revenue cycle operations by applying deep patient access expertise to evaluate, refine, and validate AI tools for registration, pre-registration, scheduling, and intake across inpatient and outpatient settings. This role combines operational leadership with hands-on review and feedback to help shape next-generation AI systems used in patient access workflows.

• Lead end-to-end patient access operations, including pre-registration, registration, scheduling, and intake workflows for inpatient and outpatient care.
• Evaluate AI-generated outputs related to patient access tasks, identify errors, and provide structured, actionable feedback.
• Develop, implement, and enforce policies and procedures that ensure registration accuracy, correct demographic capture, and effective point-of-service collections.
• Monitor and report KPIs such as registration error rates, pre-registration completion rates, insurance verification accuracy, and front-end denial rates.
• Identify front-end deficiencies that threaten clean claim submission, and drive remediation to ensure claims are clean from point of entry.
• Collaborate with billing, clinical, and IT teams to streamline patient access workflows and reduce downstream claim errors.
• Train, mentor, and support patient access staff on registration best practices, compliance requirements, and system usage.
• Ensure compliance with HIPAA, CMS guidance, and payer-specific requirements at the point of service.
• Document observations, annotate AI outputs, and provide structured feedback to support AI training datasets.

• Minimum 5 years of experience in patient access, patient registration, or front-end revenue cycle management, including at least 2 years in a manager or director-level role.
• Deep knowledge of pre-registration, insurance verification, scheduling intake, and point-of-service collections.
• Strong understanding of HIPAA, CMS regulations, and commercial and government payer requirements.
• Proficiency with Epic, Cerner, Meditech, or similar EHR and registration systems.
• Exceptional written and verbal English communication skills, high attention to detail, and the ability to identify inconsistencies in workflows, data, or AI outputs.
• Ability to work independently in a fully remote environment, with strong organizational skills to manage multiple priorities.

• NAHAM Certified Healthcare Access Manager (CHAM) or Certified Healthcare Access Associate (CHAA).
• Experience with denial prevention strategies at the point of registration.
• Familiarity with AI tools such as ChatGPT, Claude, or similar systems.
• Background in a health system, hospital, or large physician group setting.
• Experience developing standard operating procedures and training materials for patient access teams.

• Location: Remote.
• Employment type: hourly.

80 - 80 hourly

• Must be comfortable working independently in a fully remote role.
• Exceptional written and verbal English communication skills are required.

This opportunity is designed for experienced patient access leaders who want to apply their operational and registration expertise to improve AI-driven front-end workflows. When applying, present your resume and a concise summary of relevant patient access leadership experience, including your work with EHR systems and any examples of process improvement or denial prevention. Applications will be evaluated for fit with projects that require hands-on evaluation and feedback of AI outputs.