Patient Financial Services Leader for AI Evaluation

In this role, you will play a pivotal part in enhancing patient financial engagement and revenue recovery through the evaluation of AI tools designed for self-pay collections. Your leadership in patient financial services will directly influence the development of next-generation AI systems that optimize patient payment experiences while maximizing revenue recovery. Key Responsibilities

• Lead patient collections and self-pay operations, including early-out collections, bad debt management, and patient payment plan administration.
• Evaluate AI-generated patient financial communication drafts, payment plan recommendations, and self-pay resolution strategies for accuracy and compliance.
• Develop and implement self-pay collection strategies across the revenue cycle, encompassing pre-service, point-of-service, and post-service collections.
• Manage patient payment plan enrollment, monitoring, and compliance processes.
• Coordinate with financial counseling, billing, and bad debt recovery teams to optimize self-pay revenue capture.
• Monitor self-pay KPIs, including self-pay collection rates, payment plan conversion rates, bad debt write-off rates, and patient satisfaction scores.
• Ensure compliance with FDCPA, HIPAA, state collections laws, and internal patient financial assistance policies.
• Oversee relationships with collection agencies and early-out vendors as applicable.
• Annotate AI outputs and provide structured feedback to support AI training datasets.

• 5+ years of experience in patient collections, self-pay revenue cycle, or patient financial services, with at least 2 years in a leadership role.
• Deep knowledge of self-pay collection workflows, FDCPA compliance, and patient financial engagement best practices.
• Experience managing early-out and bad debt collection programs, including vendor oversight.
• Familiarity with propensity-to-pay tools and patient payment technology platforms.
• Proficiency with EHR systems and patient collections/billing platforms.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to evaluate collections strategies and identify issues in AI-generated patient communication content.

• CRCR, CHAM, or similar revenue cycle certification.
• Experience with digital patient payment platforms and text/email-based collections outreach.
• Background in hospital, health system, or physician group patient financial services.
• Familiarity with AI tools and comfort evaluating AI-generated patient financial communication content.
• Experience implementing propensity-to-pay analytics to prioritize collection efforts.

• Contribute to the development of frontier AI systems in healthcare.
• Collaborate with a world-class AI research organization.
• Gain exposure to cutting-edge AI workflows in patient financial services and the revenue cycle.
• Opportunity to work on high-impact projects shaping the future of healthcare AI.