1,773 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CNR-IBSBC" positions at Duke University
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of patient medication therapy as well as providing drug information, patient information and oversight of information and dispensing systems; ensure compliance with Federal, State and local laws and
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appropriate source of liability/payment. Admit, register and pre-register patients with accurate patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently
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engagement, prenatal education, and family support. Assist with administrative functions, including scheduling, data entry, maintaining tracking forms, and filing program documentation. Educate clients about
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information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate account for patient visit. Present and educate patients on required forms and
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equipment upkeep Contribute to data analysis and help prepare figures for presentations or publications Participate in lab meetings and collaborate with other lab members Assist key lab safety person with
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equipment upkeep Contribute to data analysis and help prepare figures for presentations or publications Participate in lab meetings and collaborate with other lab members Assist key lab safety person with
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to an interdisciplinary research program combining experimental neuroscience, tool development, and data-driven analysis to understand neural circuits across scales in health and disease states. The candidate will design
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-AIRCRIDD [#31545] Position Title: Position Type: Other Position Location: Durham, North
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HIPPA/Medicare documents to the encounter forms. Check-in patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as
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, and health insurance using large administrative claims. Our projects span methods such as difference‑in‑differences, panel data models / controlled interrupted time series/ segmented regression, and