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Field
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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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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 in
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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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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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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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, validates and implements sophisticated algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates
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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
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. Utilizes multiple technology applications and systems to perform scheduling tasks to include but not limited to: EPIC, Cadence, Op-time, Template changes, On Base and Telephony Systems such as Finesse
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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