1,965 data-"https:"-"https:"-"https:"-"https:"-"https:"-"CNR-IBSBC" positions at Duke University
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the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate account for patient visit. Present and
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. Check-in patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate
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off’s, explanation of benefits, balance due, and other patient and insurance billing related scenarios. Analyze the patient’s problem or issue that is presented by collecting information and data and
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specialist to address unit educational needs. Informatics: Serve as a superuser for clinical information systems. Disseminate and communicate information to staff regarding adoption of or changes to technology
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Responsibilities of this Level Process New Referrals for Evaluation / Insurance Verification/Clinical Coordination: Analyze, organize, and utilize complex data and rules related to contracting and patient benefits
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including but not limited to, radiographic, hemodynamic and computer setup, stocking rooms and room cleanup. Prepare sterile field appropriately for specified procedure type. Evaluate the status
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, and provide guidance and education to leaders and team members where appropriate. Access, understand and interpret HR data, along with the generation and distribution of related reports and information
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patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate account for
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information, and directions. Coordinate services across multiple DUHSand PDC clinical locations, departments and providers. Service oriented tasks are transactional and productivity-based. Professionally and
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student will receive comprehensive training in bioinformatics workflows, specifically focusing on how to process and interpret high-dimensional spatial transcriptomics data. The candidate will work closely