2,602 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" uni jobs at Duke University in United States
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patients with accurate patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently. Calculate and collect cash payments appropriately for all patients. Reconcile
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to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including
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/payment. Schedules and pre-register patients, correcting as necessary all patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently. Call patients to remind
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information for laboratory records, explain procedures, allay fears and elicit cooperation. Perform a variety of routine and specialized specimen preparation procedures including, but not limited to, general
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coverage efforts in the department/division. Report patient responses/reactions to assessment procedures and treatment. Complete activity logs, safety logs, stamped patient attendance information, and other
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preparation process; registration, scheduling, charge posting, order entry. Able to document and communicate pertinent information Ability to establish and maintain effective working relationships with patients
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physician orders and established policies and procedures to include collecting and analyzing patient data, developing and implementing nursing care plans, establishing interpersonal relationships with
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, equipment and supplies for specific procedures and provide manual assistance as required. Obtain and record patient data for medical records noting and informing RN/LPN of information collected. Administer
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:30pm Night Shift: 7:00pm-7:30am Prepare patients, equipment and supplies for specific procedures and provide manual assistance as required. Obtain and record patient data for medical records noting and
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to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including