Onsite Patient Access Specialist – Growth & Certification

Ensemble Health Partners; Mauldin (SC); On-site; USD 23,000 - 26,000; Full time

Benefits offered by this job

Tuition reimbursement

Certification programs

Comprehensive benefits

Career advancement

Job summary

Ensemble Health Partners is seeking a Patient Access Specialist to perform admission duties for patients at Bon Secours - St Francis - Eastside in Greenville, SC. The role ensures accurate MRN assignment, insurance verification, and patient education while adhering to regulatory requirements.

The position is on-site with opportunities for tuition reimbursement and certifications. We welcome curious candidates who enjoy patient interaction and are eager to implement AI-driven efficiency

Qualifications

• 1+ years of customer service experience.
• CRCR Certification must be achieved within 6 months of hire (company paid).
• Inquisitive and open to innovation, including AI to improve processes and patient experiences.
• Candidate must be able to work on-site at Greenville, SC.

Responsibilities

• Register patients and verify demographic and insurance information accurately.
• Provide patient education materials and obtain required signatures.
• Review eligibility and enter benefits data to support POS and billing.
• Distribute and document ABN forms and other required documents.
• Maintain quality audits and produce statistics for leadership review.

Skills

Customer service

Adaptability

Communication

AI awareness

Education

High School Diploma/GED

CRCR Certification

Tools

ABN software

Insurance verification system

Job description

Ensemble Health Partners is seeking a Patient Access Specialist to perform admission duties for patients at Bon Secours - St Francis - Eastside in Greenville, SC. The role ensures accurate MRN assignment, insurance verification, and patient education while adhering to regulatory requirements.

The position is on-site with opportunities for tuition reimbursement and certifications. We welcome curious candidates who enjoy patient interaction and are eager to implement AI-driven efficiency