936 high-performance-computing positions at University of California Davis in United States
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implications in clinical practice and documentation. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking
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room patents; set up equipment and instruments; independently perform, and/or assist providers with performing, exams and procedures, including administering injections; with proper provider
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manner. Ability to perform work in a telephonic and/ or on-site setting, performing assessments, disease management, self-management education, and complex case management of high-risk patients. Knowledge
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oversight of assigned funds and accounts. Responsible for providing high-level analytical and problem-solving support to the Department, Chief Administrative Officer, Extramural Finance Manager, Division
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per month (no maximum) COMPENSATION · Competitive pay CE & 0ther BENEFITS · $2000 Continuing Education allowance · Wellness and on-site Employee Assistance Program INSURANCE · High quality and low cost
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providing optimum services to patients. The position will perform lead responsibilities and serve as a resource and support to front office functions and workflows of the department/clinical team to which
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. Preferred Qualifications UC Davis Health Experience Knowledge of medical terminology. Key Responsibilities 25% - Customer Service Expectations 20% - Unit Communication 15% - EMR and Computer 10% - Performance
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program. At least 1 year work experience as a licensed Physician Assistant. Ability to cope with personal stress experienced by team members, other professionals, and caretakers. Excellent verbal and
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, patient confidentiality, etc. Ability to make appropriate interventions based on law and policy. Advanced understanding of computer and Outlook 365 functionality. Preferred Qualifications Knowledge
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, functioning with a high degree of autonomy. This position applies skills and experience as a seasoned quality data and/or improvement concepts, methodologies, and data collection and abstraction techniques