Provides inbound phone support to providers and collection staff regarding claim status. Explains billing processes and timing, coordinates with internal departments to resolve inquiries, meets customer service and quality standards, maintains agent availability goals, follows procedures, identifies system or process issues, and completes assigned tasks.
Customer Service Professionals (CSP’s) are responsible for providing support by assisting with status of their claims while providing outstanding customer service.
This position is only for U.S. based candidates.
- Receive inbound phone calls from a phone queue
- Field and provide timely response to all daily inquiries from providers & collection staff regarding claim status.
- Effectively communicate the billing process and timing expectations to the caller.
- Communicate with other departments within MedRisk if needed to assist in resolving claim inquiry; such as Accounting, Provider Relations, and Account Management (Account Reps & Corporate Account Executives (CAE’s).
- Consistently meet MedRisk Customer Support Service & Quality standards
- Consistently maintain the Total Agent Availability (TAA) goal monthly.
- Understand MedRisk’s interdepartmental procedures, policies and comply with them.
- Identify potential or existing system and/or procedural challenges, and notify Supervisor and assist in resolution if needed.
- Complete special projects or tasks as assigned by the Supervisor.
- Other duties as assigned.
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San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
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- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
