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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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. Provide accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and
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. Learn, utilize, and maintain Charge Master data in FinThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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. Learn, utilize, and maintain Charge Master data in FinThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking
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departmental algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within the department specialty
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offer alternative providers or locations when appropriate. Utilizes multiple technology applications and systems to perform scheduling tasks to include but not limited to: EPIC, Cadence, Op-time
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with various stakeholders to solve unique needs, or experience in both a research and development environment. Knowledge of standard algorithms and data structures. Familiarity with software project
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and
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Department EPIC Research About the Department The Energy Policy Institute at the University of Chicago (EPIC) produces data-driven research that advances society's understanding of the global energy