Patient Access Leader for AI Evaluation

Apply patient access expertise to evaluate and improve AI tools used in healthcare revenue cycle workflows. This remote role focuses on patient registration, pre-registration, scheduling, and intake coordination across front-end healthcare operations, helping shape AI systems for healthcare.

• Lead end-to-end patient access operations, including pre-registration, registration, scheduling, and intake workflows, across inpatient and outpatient settings.
• Review AI-generated patient access outputs, identify errors and inconsistencies, and provide structured, actionable feedback.
• Develop and enforce policies and procedures supporting registration accuracy, demographic capture, and point-of-service collections.
• Monitor registration error rates, pre-registration completion rates, insurance verification accuracy, and front-end denial rates.
• Identify and resolve front-end deficiencies to support clean claim submission from the point of entry.
• Partner with billing, clinical, and IT teams to streamline workflows and reduce downstream claim errors.
• Train and mentor staff on registration practices, compliance requirements, and system use.
• Maintain compliance with HIPAA, CMS guidelines, and payer-specific requirements at the point of service.
• Document observations, annotate AI outputs, and deliver structured feedback for AI training datasets.

• At least 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 comparable EHR and registration systems.
• Exceptional written and verbal English communication skills.
• Strong attention to detail, with the ability to spot inconsistencies in workflows, data, and AI-generated outputs.
• Ability to work independently in a fully remote environment and manage multiple priorities.

• NAHAM CHAM or CHAA credential.
• Experience with point-of-registration denial-prevention strategies.
• Familiarity with AI tools such as ChatGPT, Claude, or similar systems.
• Experience in a health system, hospital, or large physician group setting.
• Experience developing SOPs and training materials for patient access teams.

• Remote, hourly engagement.

• $80 per hour.

Submit an application to demonstrate how your experience in patient registration, pre-registration, scheduling, and intake coordination can support AI-enabled front-end healthcare operations.