2,611 data-"https:" "https:" "https:" "https:" "UCL" "UCL" positions at Duke University
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other members of the healthcare team in matters relating to published DRG, SOI/ROM, ICD-9, ICD-10 and PCS information. Maintains a level of practice demonstrating knowledge and understanding of AHIMA
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international programs in more than 150 countries. Be You. Be Bold. Choose Duke. Be You. Introduction The Duke Law Library’s Data Lab is seeking a talented Computational Legal Scientist to support the empirical
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information to document effectiveness of role as a staff development educator - Incorporates current educational evidence into individual practice as a staff development expert - Conducts and/or contributes
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financial data. Resolve insurance claim rejections/denials and remedy expediently. Calculate and collect cash payments appropriately for all patients. Reconcile daily cash deposit. Evaluate diagnoses
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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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., questionnaire, data registry, scripted) studies outside of the EHR. Employs strategies to maintain retention rates. Evaluates processes to identify problems with retention. May train or oversee others. Employs
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the electromotive variations in heart muscle actions; assist in the coding, filing and distribution of EKG data. Perform as a member of the cardiac arrest team, obtaining ECG record of events; assist emergency
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual
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to facilitate accurate and comprehensive billing in compliance with annual CPT/HCPCS and ICD-10 updates. Identify revenue cycle problems, research/analyze data to resolve issues, identify and select alternatives
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Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin