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سال انتشار:
2018
عنوان انگلیسی مقاله:
MACRA in the era of big data: Implications for clinical practice
ترجمه فارسی عنوان مقاله:
MACRA در دوران داده های بزرگ: پیامدهای عملی بالینی
منبع:
Sciencedirect - Elsevier - International Journal of Cardiology 260 (2018) 226–227
نویسنده:
Chayakrit Krittanawong ⁎
چکیده انگلیسی:
In October 2016, the CMS released its final rule on the Medicare
Access and CHIP (Childrens Health Insurance Program) Reauthorization
Act (MACRA) [1]. The Quality Payment Program includes two paths for
providers participation in Medicare Part B reimbursement: the merit
based incentive payment system (MIPS) and the advanced alternative
payment model (APM). MIPS is a pay-for-performance system, similar
to fee-for-service, but adjusts payments up or down based on prior care
and physician comparison, either with peers in the same specialty or
with themselves. On the other hand, the APM offers greater flexibility
and could provide the highest possible reimbursement, although this
could come with risks. Regardless of the system a clinician participates
in, providers will be evaluated on four core components: meaningful
use of information technology, clinical quality, resource use, and clinical
practice improvement. In general, MACRA will likely influence the size
of small medical practices because of the competition that the payment
model may induce. Indeed, without proper preparation, MACRA has
the power to negatively affect medical practices of all sizes in terms of
progression, reimbursement, and advancement. To date, the literature
mainly illustrates guidelines on how to select among programs and detect
their differences; however, suggestions about how to successfully deal
with quality improvement within the MACRA system are virtually non
existent. By highlighting the relevance of big data analysis in this context,
I fill this gap and propose the use of an appropriate and innovative toolbox
to help providers transition into the MACRA era.
Keywords: Big data ، Big data analytics ، Lean six sigma ، MACRA
قیمت: رایگان
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