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and alignment across specialties. Oversee patient throughput, including LOS management and DRG performance initiatives. Support the implementation and optimization of the Electronic Health Record (EHR
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of depression, emotion dysregulation, and suicidality among adolescents and young adults of color. Among the key duties of the position are the following: Supports the CODA (Culturally Optimizing DBT-A) project
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revenue while controlling costs Maintain responsibility for profit and loss for assigned programs and portfolio Optimize client touchpoints to drive satisfaction, retention, revenue growth, and program
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of responsibility (in conjunction with the University Central Offices). Ensure the optimal integration of the Rutgers Health Office of Financial Aid into the Rutgers Health Office of Academic Affairs and oversee its
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the University’s data network (RUnet), Voice over IP (VOIP) and other systems. Designs and plans outside plant fiber optic networks, including routes, splice points, and equipment placement, ensuring optimal
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Services to optimize reporting processes and enhance data accessibility and interpretation. Serves as a resource to junior staff and peers by providing technical guidance, quality review, and training
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initiatives designed to enhance current and future clinical research services. This includes identifying opportunities for innovation in research methodologies, optimizing workflows for improved efficiency, and
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Multi-Year Strategic Modeling tool. Partners with OIT, Data & Analytics, Financial Planning & Analytics and UCO staff to optimize forecasting capabilities and data pipelines. Advances multi-year strategic
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, engaging them in the accountability of care, and improving patient experiences and outcomes. Addresses the medical, nursing and or personal care needs of the patient to enable their return to an optimal
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-driven optimization, complex systems modeling, and applications are especially encouraged to apply. Synergies with strengths in Energy, and Controls, will be viewed positively. Successful candidates will