427 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Virginia
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information regarding community resources eligibility requirements. Completes initial screening patients in coverage area per department standards. Coordinates with MSW/LCSW and Nurse Case Manager for high risk
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demonstrates an understanding of the functional/developmental age of the individual served. Licensed Practical Nurse - Ambulatory Assist the registered nurse and/or provider through data collection concerning
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Laboratory Testing. Documents information related to specimens collected correctly per established policy. Performs data entry of patient registration, patient demographics, billing information, and test
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to resolve open unresolved inquires and provides information about financial assistance for patients notably uninsured/under-insured patients. Contacts may be initiated by customers via fax, mail, email
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. Intermediate knowledge of and experience utilizing a personal computer, including proficiency in the Microsoft Office Suite (intermediate email, word processing and spreadsheet skills). Ability to successfully
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an interprofessional academic health environment. Physical Demands This position is primarily sedentary, involving extensive computer use. Travel across research sites and to meetings may be required. Position Type
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providers, and patients. Assists with data collection for physical, psychological, social, and cultural dimensions of patients according to professional practice standards and institutional policy/procedure
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demonstrates an understanding of the functional/developmental age of the individual served. Licensed Practical Nurse - Ambulatory Assist the registered nurse and/or provider through data collection concerning
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governments, nonprofits, businesses, and residents. Convene regional forums, workshops, and advisory committees to align priorities and surface opportunities. Facilitate community visioning and structured “data
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The Writer and Editorial Specialist will join the Marketing and Communications Team as a key contributor to the School of Data Science’s mission of advancing responsible data science for the common