2,110 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Dr" positions at Duke University
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for patients considered out of network and receiving services at a reduced benefit level. Update the billing system to reflect the insurance status of the patient. Refer patients to the Manufacturer Drug program
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records on all requests for service as well as the provision of services. Maintain accurate and timely documentation within program Promote customer satisfaction related to Duke services; notify Supervisor
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and non-sterile dressings Required Qualifications at this Level Education Level I -- Graduation from accredited Medical Assistant program strongly preferred. High school or GED graduation required
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the clinical ladder program, educational activities, departmental committees, research projects or other health related projects as assigned. Provide nursing services to patients and families in accordance with
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ladder program, educational activities, departmental committees, research projects or other health related projects as assigned. Provide nursing services to patients and families in accordance with
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/or specialized nursing care for patients guided by the DUHS Professional Practice model and participate in the clinical ladder program, educational activities, departmental committees, research
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specialized nursing care for patients in guided by DUHS Professional Practice model participate in the clinical ladder program, educational activities, departmental committees, research projects or other health
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medication or insurance related concern. Assist with a variety of basic clinical functions in support of the clinical pharmacist (e.g., medication safety and adherence initiatives, patient follow up calls
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described herein. Required Qualifications at this Level Education Completion of a Level I - Nurse Aide education program approved by the North Carolina Board of Nursing or successful completion of the NC
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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