01Key Responsibilities
Revenue Cycle Management: Oversee all aspects of the revenue cycle, including patient registration, eligibility verification, claim submission, payment posting, denials management, AR follow-up, and patient billing. Team Leadership: Supervise, train, mentor, and evaluate RCM team members; allocate work and resolve issues to drive performance. Process Improvement: Develop, implement, and refine operational policies and procedures to enhance efficiency and service quality.Data Analysis: Analyze billing and claims data to identify trends, improve performance, and reduce denials. Regulatory Compliance: Ensure strict adherence to HIPAA regulations and other healthcare billing standards.Reporting & Communication: Prepare periodic performance reports, lead client meetings, and collaborate with internal departments to ensure process alignment.Issue Resolution: Take ownership of discrepancies in billing, claims, payment posting, or denials to ensure prompt and compliant resolution.Financial Impact: Support the organizations financial goals by maximizing revenue capture and minimizing operational costs.Training & Development: Provide training and ongoing support for Advanced MD software usage, fostering professional development in billing processes.Process Optimization: Continuously seek and implement improvements to billing and collections processes to enhance speed, accuracy, and efficiency.Stakeholder Engagement: Act as the primary contact for billing-related queries from patients, insurance companies, and internal teams, ensuring swift and professional resolutions.
02Requirements
Minimum of 7 years of experience in healthcare billing and collections, including at least 4 years in a managerial role overseeing teams of 40-50 FTEs.Proven track record in team management and development, with a focus on high performance and quality standards.Hands-on expertise with Advanced MD software for AR operations. Strong knowledge of healthcare billing, insurance claims, reimbursements, and regulatory compliance standards.Excellent analytical and problem-solving skills, with a sharp eye for detail and accuracy.Ability to work independently and collaboratively in a dynamic, fast-paced environment.Outstanding verbal and written communication skills to interact effectively with all stakeholders.Certifications in Data Science or Artificial Intelligence are considered a strong plus. .
