2,600 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" uni jobs at Duke University
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an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information
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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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, reviewing, updating and implementing educational materials to meet the needs of patients and professionals. Writing orders for diet, supplement, enteral/parenteral nutrition and laboratory data per hospital
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for the hospitalized patient, clinic/outpatient and/or patient in an alternative setting (i.e. extended care facilities) by acquiring admission information and assessing for the appropriateness of home care services
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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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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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, physical exams, collecting and documenting data, conducting diagnostic and therapeutic procedures, ordering and scheduling laboratory studies including advanced imaging. Formulation of a diagnosis and
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collaboration with cardiac anesthesiology and under the supervision of the cardiothoracic surgeon(s) and the Medical Director of the CTICU. The APP performs physical exams, collects and documents data, conducts
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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