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The goal of assessing health care quality is to recognize gaps in
performance and identify opportunities for improvement that will
increase the health of individuals and society. The complexity
inherent in health care systems, health care delivery and humans
themselves, requires the development of complex measurement
systems. However, greater complexity in measurement comes at a
cost. In this work, the impact of data quality and limitations in
the resources necessary to ensure accurate and reliable measurement
through risk adjustment are explored. A new metric for ranking risk
adjustment methods, managerial efficiency, is proposed and a novel
approach of cost-conscious risk adjustment is demonstrated and
compared with more traditional methods. This work will bring new
insight to researchers involved in quality of care measurement and
methods and health care managers faced with the increasing demands
of health care quality reporting.
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