Patient Access Manager for AI Evaluation

Lead improvements to front-end healthcare revenue cycle operations by applying deep patient access expertise to evaluate and refine AI tools for registration, pre-registration, scheduling, and intake across inpatient and outpatient settings. This role shapes how AI systems perform at the point of patient entry to reduce downstream claim errors and improve collections and compliance.

• Oversee end-to-end patient access operations, including pre-registration, registration, scheduling, and intake workflows for both inpatient and outpatient care.
• Evaluate AI-generated outputs related to patient access processes, identify errors, and provide structured, actionable feedback for correction and model training.
• Develop, implement, and enforce policies and procedures to ensure registration accuracy, correct demographic capture, and effective point-of-service collections.
• Monitor and report on 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 take actions to resolve them.
• Collaborate with billing, clinical, and IT teams to streamline workflows and reduce downstream claim rework and denials.
• Train and mentor registration and access staff on best practices, compliance, and system usage.
• Ensure point-of-service activities comply with HIPAA, CMS guidelines, and payer-specific rules.
• Document observations, annotate AI outputs, and provide detailed feedback to support creation of high-quality AI training datasets.

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

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

Remote position, hourly employment type. Work is fully remote and requires the ability to operate independently and maintain secure handling of protected health information in compliance with applicable regulations.

80 - 80 hourly

Candidates must be able to work remotely and independently. Familiarity with healthcare privacy and security requirements is required. No specific visa or sponsorship information was provided in the source.

Applying to this role gives you the opportunity to contribute your patient registration, pre-registration, scheduling, and intake coordination expertise to the development and refinement of AI systems for front-end healthcare operations. Candidates will be evaluated on relevant patient access experience, managerial background, technical proficiency with EHR and registration systems, and ability to provide structured feedback on AI outputs.

• Contribute to the development of advanced AI systems for healthcare revenue cycle management.
• Work with a leading AI research organization on high-impact projects that shape front-end healthcare operations.
• Gain exposure to innovative AI workflows applied to registration, verification, and intake processes.