2,757 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Duke University in United States
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. Communicates in a professional manner essential information to all appropriate members of the healthcare team to promote sharing of information throughout the continuum of care. Operates extensive medical and
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care to patients. JOB DUTIES AND RESPONSIBILITIES Perform intake with patients to include vital signs, visit information, and other clinical information as indicated. Perform telephone message taking
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program direction. This position is ideal for someone who thrives in a fast-paced, analytical environment and enjoys translating complex information into clear guidance for diverse audiences. While prior
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Practice Office of the President and COO, focusing on project management, data analysis, strategic planning, and implementation of key priorities. This role will support and lead initiatives in ambulatory
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applicable federal, state and local regulations. Provide education and guidance on these topics to providers, patients and families as needed. Work with Utilization Management partners to provide information
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of clinic/department resources. Maintain interface with physicians, patients and administrative staff to provide information and to resolve problems relating to clinic services. Collect and analyze data
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, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status
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information is completed and signatures received prior to sending back to MSO. Knowledge, Skills, and Abilities: Knowledge of Duke Primary Care and/or familiarity with Duke Health entities Onboarding experience
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accurate patient demographic and clinical information in the medical record. Knowledge and familiarization of prior authorizations for medications and durable medical equipment. Confidently function as the
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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