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of medical records to evaluate accuracy of codes for medical billing and to ensure that all services have been captured. Applies general knowledge of CMS regulations and third-party payer guidelines to confirm
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 13 days ago
and profile existing research AI workloads to identify performance bottlenecks and portability challenges; and port and optimize complex AI models and scientific code to run efficiently on AMD MI355X
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: Nonexempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Patient Business Services (PBS) Coding department is looking for a motivated, entry level coder to review CPT, ICD-10 and HCPCS coding
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
science research, statistics, and data collection methods; and experience using AI-assisted coding tools (e.g., GitHub Copilot, Cursor, or similar) for data analysis and pipeline development. Please upload
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-edge diagnostics of tomorrow. Courier Job Code: 4039 FLSA: N Job Level: B1 Supervisory Responsibility: No **Work Schedule is Saturday and Sunday from 1:00 pm - 9:30 pm.** General Description of the Job
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procedural & diagnosis coding and charge entry to contacting physicians for documentation tracking and updating. Working under direct supervision the incumbent acquires knowledge of revenue cycle coding
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community. The Plumber maintains compliance with all applicable codes and regulations while leading plumbing operations and mentoring team members. Primary Responsibilities: Technical Operations and
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, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other essential revenue functions
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of animals is justified and has scientific merit and animal welfare is prioritised, in accordance with the Australian Code for the care and use of animals for scientific purposes (8th edition 2013 (updated
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will analyze and profile existing research AI workloads to identify performance bottlenecks and portability challenges; and port and optimize complex AI models and scientific code to run efficiently