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    Financial Life Cycle of Clinical Research Studies: Best Practice Approaches

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    Website https://www.complianceonline.com/financial-life-cycle-clinical-research-studies-best-practices-semin | Want to Edit it Edit Freely

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    Deadline: May 11, 2020 | Date: May 21, 2020-May 22, 2020

    Venue/Country: Seattle, WA, U.S.A

    Updated: 2020-01-04 13:08:32 (GMT+9)

    Call For Papers - CFP

    In the age of technology, many organizations struggle with incorporating federal and billing regulations with electronic systems.

    This seminar will take you through the clinical research financial life cycle. It will focus on the financial feasibility of considering a clinical research study to be performed at an organization by incorporating it into the integrated systems and managing patient and sponsor billing. You will learn about:

    The various types of funding sources and their power to influence a robust budget to support a clinical research study

    The requirements of the Centers for Medicare and Medicaid Services’ (CMS) for obtaining coverage for clinical trials and how to create a Medicare Coverage Analysis (MCA)

    The difference between National Coverage Determinations and Local Coverage Determinations

    How to incorporate the MCA in the budgeting process, and effectively negotiate this budget with pharmaceutical sponsors

    How to streamline the contract language process and improve study activation times

    How to effectively leverage technology solutions to manage the study and the overall portfolio


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.