1,995 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" positions at Duke University in United States
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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POP_TBLETSCH [#31741] Position Title: Position Type: Non tenure-track faculty Position
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professional charges. Abstract information from medical records following established methods and procedures. Work Performed Review the complex (problematic coding that needs research and reference checking
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for Duke Health. Occ Summary Independently performs specialized or advanced health information activities necessary to organize, maintain, and use electronic patient health records. Activities required
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the role as conduit of information that must flow between Duke staff and the Non-English-speaking patient/visitors. Ensure that all information pertaining to the patient's outpatient services
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information, and other clinical information as indicated. Perform telephone message taking with patients, document encounter, follow protocols established by clinic leadership, and inform provider. Administer
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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. 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 the appropriate
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clinical nurse educator and clinical nurse specialist to address unit educational needs. Informatics: Serve as a superuser for clinical information systems. Disseminate and communicate information to staff
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. Occupational Summary • Collect and record intraoperative neuromonitoring (IONM) data, including facial EMG, EEG, and stimulation event logs, from surgical cases. • Organize and label multimodal datasets