DOI: | 10.7249/RR1234
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报告号: | RR-1234-ASPEC
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报告题名: | Identifying and Coordinating Care for Complex Patients: Findings from the Leading Edge of Analytics and Health Information Technology |
作者: | Robert S. Rudin; Courtney A. Gidengil; Zachary Predmore; Eric C. Schneider; James Sorace; Rachel Hornstein
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出版者: | RAND Corporation
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出版年: | 2016
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发表日期: | 2016
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总页数: | 45
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国家: | 美国
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语种: | 英语
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英文关键词: | Cost-effectiveness in Health Care
; Health Care Delivery Approaches
; Health Information Technology
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英文摘要: | In the United States, a relatively small proportion of complex patients — defined as having multiple comorbidities, high risk for poor outcomes, and high cost — incur most of the nation's health care costs. Improved care coordination and management of complex patients could reduce costs while increasing quality of care. However, care coordination efforts face multiple challenges, such as segmenting populations of complex patients to better match their needs with the design of specific interventions, understanding how to reduce spending, and integrating care coordination programs into providers' care delivery processes. Innovative uses of analytics and health information technology (HIT) may address these challenges. Rudin and colleagues at RAND completed a literature review and held discussions with subject matter experts, reaching the conclusion that analytics and HIT are being used in innovative ways to coordinate care for complex patients but that the capabilities are limited, evidence of their effectiveness is lacking, and challenges are substantial, and important foundational work is still needed. |
URL: | http://www.rand.org/content/dam/rand/pubs/research_reports/RR1200/RR1234/RAND_RR1234.pdf
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Citation statistics: |
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资源类型: | 研究报告
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标识符: | http://119.78.100.158/handle/2HF3EXSE/27058
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Appears in Collections: | 影响、适应和脆弱性 科学计划与规划 气候减缓与适应 气候变化事实与影响 气候变化与战略
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RAND_RR1234.pdf(723KB) | 研究报告 | -- | 开放获取 | | View
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Recommended Citation: |
Robert S. Rudin,Courtney A. Gidengil,Zachary Predmore,et al. Identifying and Coordinating Care for Complex Patients: Findings from the Leading Edge of Analytics and Health Information Technology. 2016-01-01.
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