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来源类型Publication
Aggregating Claims Data Across Payers: Approaches, Challenges, and Lessons Learned from the Comprehensive Primary Care Initiative
Anne Mutti; Erin Fries Taylor; Deborah Peikes; Janel Jin; Kristie Liao; and Ha Tu
发表日期2019-04-16
出版者American Journal of Medical Quality (online ahead of print)
出版年2019
语种英语
概述The Comprehensive Primary Care (CPC) initiative fueled the emergence of new organizational alliances and financial commitments among payers and primary care practices to use data for performance improvement.",
摘要The Comprehensive Primary Care (CPC) initiative fueled the emergence of new organizational alliances and financial commitments among payers and primary care practices to use data for performance improvement. In most regions of the country, practices received separate confidential feedback reports of claims-based measures from multiple payers, which varied in content and provided an incomplete picture of a practice’s patient panel. Over CPC’s last few years, participating payers in several regions resisted the tendency to guard data as a proprietary asset, instead working collaboratively to produce aggregated performance feedback for practices. Aggregating claims data across payers is a potential game changer in improving practice performance because doing so potentially makes the data more accessible, comprehensive, and useful. Understanding lessons learned and key challenges can help other initiatives that are aggregating claims or clinical data across payers for primary care practices or other types of providers.
URLhttps://www.mathematica.org/our-publications-and-findings/publications/aggregating-claims-data-across-payers-approaches-challenges-and-lessons-learned
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/489559
推荐引用方式
GB/T 7714
Anne Mutti,Erin Fries Taylor,Deborah Peikes,et al. Aggregating Claims Data Across Payers: Approaches, Challenges, and Lessons Learned from the Comprehensive Primary Care Initiative. 2019.
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