2,718 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Duke University in United States
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replenishment, and run reports in SAP to close out daily transactions. Serve as a Subject Matter Expert (SME) for the TIMS module, including receiving and documenting. Pull EPIC and Pyxis reports and analyze data
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documenting. Pull EPIC and Pyxis reports and analyze data to provide appropriate recommendations. Participate in PERT, OR EDIT, and VAT discussions as assigned. Access and utilize Vendormate for vendor
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healthcare‑associated infections and other adverse outcomes that impact patient safety. Utilize the electronic medical record and surveillance systems to review clinical and laboratory data, identifying
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patients with accurate patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently. Calculate and collect cash payments appropriately for all patients. Reconcile
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to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including
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of information incidental to the work described herein. Perform other related duties database. that must flow between Duke staff and the International or Domestic patient/visitors. Ensure that information
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families in accordance with the nursing plan of care Ability to use sensory and cognitive functions to process and prioritize information, treatment, and follow-up Ability to use fine motor skills Competent
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Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression,gender identity, genetic information, national origin, race
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employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and
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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