2,001 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Duke University in United States
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information, scheduling and coordinating appointments, and sending out new patient packets. Apply knowledge of registration policies and procedures and use appropriate scripting. Correctly add/edit demographic
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forms. Check-in patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify
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for Duke Health. HYBRID POSITION: Monday - Friday (First Shift) Record and generate variety of information pertaining to the patient revenue process. Accurate, high-performance level position requires
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/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 needed
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(Days) General Summary Perform routine and complex procedures to obtain data for use in the diagnosis of clinical disorders of the nervous system in at least one of the following neurodiagnostics
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for specific laboratory techniques. Perform various Quality Control procedures to maintain compliance with internal and external regulations. Utilize various hospital information systems and software. Perform
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specificity of diagnoses, procedures and appropriate/optimal reimbursement for hospital and/or professional charges. Abstract information from medical records following established methods and procedures. Work
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/wake and clinical event data Positive airway pressure devices Oximeter, capnography, actigraphy, nocturnal oxygen Screening devices and questionnaires Level 1 Verify the medical order and protocol
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transformer-based models for large-scale biological data. In this role, you will work closely with the Principal Investigator Dr. Wenpin Hou and her research team to develop computational models that analyze
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student will receive comprehensive training in bioinformatics workflows, specifically focusing on how to process and interpret high-dimensional spatial transcriptomics data. The candidate will work closely