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    Best Practices of Collecting the Right Patient Data for Value Based Payments!

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    Website https://bit.ly/2FabzNw | Want to Edit it Edit Freely

    Category Compare Health Insurance Plans; Collecting The Right Patient Data;

    Deadline: May 16, 2018 | Date: May 16, 2018

    Venue/Country: Training Doyens 26468 E Walker Dr,Aurora, Colora, U.S.A

    Updated: 2018-04-23 13:00:23 (GMT+9)

    Call For Papers - CFP

    OVERVIEW

    The health insurance industry is shifting dramatically in the methods they are using to determine the payment for patient services. The previous “fee-for-service(FFS)” system, which paid providers based on the quantity of specific services furnished, is rapidly transforming. Now, health plans are instituting “value based payments”; methods where the quality and outcome of services to patients are used to determine or adjust provider payments. Such models as Accountable Care Organizations, Bundled Payments, and quality based bonuses are being used today. These models place a premium on data collection and analysis, and require a different set of information be collected by providers for each of their patients. We will provide an overview of the models, and the specific data elements which need to be collected to assure providers can succeed under these new models.

    WHY SHOULD YOU ATTEND

    Provider business models have not changed significantly over the last several years. Business practices still focus on collecting insurance information, and patient co-insurance and deductibles as the revenue stream. Under FFS, that might be all that was necessary. However, providers are facing new requirements from health plans to get paid the appropriate amount for their services. Medicare now requires quality and cost information for many of their programs to adjust payments, award bonuses, and reduce reimbursements. Providers are expected to show they are operating at a high level of quality, efficiency, and patient satisfaction. Not meeting health plan standards results in reduced payments and reduced referrals, as well as poor ratings on public websites.

    It is difficult for providers to even track their progress against goals on a patient by patient basis. Providers may not even know that their patients are part of a value based program. It will be critical for providers to collect the right data to understand their patient population, health plan requirements, and progress towards goals.

    AREAS COVERED

    We will cover areas which are necessary to revise provider systems to better understand patient characteristics and health plan requirements. These will include: What are value based models and how do they differ from FFS; what patient characteristics are necessary to understand at intake, how are diagnoses and chronic conditions important in value based care, what data needs to be tracked during and after patient care, what reporting requirements are necessary, how to track progress towards value based goals, and how to estimate payments under value based programs.

    LEARNING OBJECTIVES

    This webinar will enable you to revise your patient intake, data collection, and follow up processes to maximize your participation in the new value based payment processes.

    WHO WILL BENEFIT

    Revenue cycle managers, financial officers, physician practice managers, administrators, revenue cycle vendors.

    For more detail please click on this below link:

    https://bit.ly/2HKavDj

    Email: supportattrainingdoyens.com

    Toll Free: +1-888-300-8494

    Tel: +1-720-996-1616

    Fax: +1-888-909-1882


    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.