26 coding-"https:"-"https:"-"https:"-"https:"-"Princeton" positions at Yale University
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the direction and supervision of the Manager of YM Coding and Billing services or his/her designee, this position is responsible for processes to monitor the efficiency and accuracy of capturing, coding and
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Medicine Administration (YMA) Coding and Billing, the Coding and Billing Assistant 1 is responsible for reviewing all aspects of charge submission for patient clinical services based on coding, documentation
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) Quantum Error Correction and Fault-Tolerance: Codes and decoders tailored to biased-noise qubits Code surgery compilation Bosonic codes Statistical Mechanics and Non-Equilibrium Many-Body Physics of Error
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for system improvements, and collaborates with department leaders to enhance compliance efforts. Required Skills and Abilities 1. Thorough understanding of anatomy, medical terminology, and coding with
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, coding and billing will be evaluated for accurate ICD-10, CPT-4, HCPC and modifier placement in compliance with University and government regulations. 3. Identify potential clinical research charges not
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in a fast-paced work environment. Commitment to a high level of service to faculty, staff and students. Preferred Education, Experience and Skills 1. Experience with tools and coding for batch-related
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. Researches individual accounts. Follow up of denials according to the rejection code posted in Epic and follow process guidelines established by the Central Business Office management team. Process and review
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research subject evaluations; administers medications and research instruments, and presents data. Reviews, codes and contributes in the entering of all collected patient data to assure completeness and
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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. The ideal candidate will have expertise in coding in R/RStudio, analysis of large data sets, prior experience with infectious disease modeling, prospective cohort development, REDCap experience, and/or COSMOS