2,536 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Michigan
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer databases. Demonstrated understanding and support of patient and family-centered care
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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computer skills are desired. Work Schedule Shift: DAY/EVE ROTATOR (7a-330p/3p-1130p) FTE: 0.6 (24hrs/wk) Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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Ambulatory care phone triage Experience providing patient education Two (2) or more years of recent (in last 3 years) experience with electronic medical records, specifically EPIC Computer/typing skills
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positioning self to provide patient care and related duties. Desired Qualifications* Completion of a Certified Nurse Aide or Certified Medical Assistant program Basic computer skills Course work in an Allied
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computer applications such as Google Suite, Microsoft, Power Point, and Excel. Proficient utilizing an ERP system (ex. PeopleSoft) for confirming benefit eligibility and enrollment and ticketing system (ex
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nursing policies and practice. Demonstrates participation in continuous quality improvement process with documented results. Takes initiative in seeking professional growth. Proficient computer skills. Why
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well as in diverse teams. Excellent computer skills with a strong working knowledge of Microsoft Office Suite and Google collaboration tools. Working knowledge of Zoom and/or other video conferencing tools
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habits in bedside consultation, activity and procedural progression likely in plan of day and plan of stay. Creates a nursing care environment that stimulates continuous self-learning, reflective practice