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Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
As stated in a 2006 Institute of Medicine (IOM) report, "HEDIS measures focus largely on processes of care"; [14] the strengths of process measures include the facts that they "reflect care that patients actually receive," thereby leading to "buy-in from providers," and that they are "directly actionable for quality improvement activities" [14 ...
The use of mobile devices in health, or mHealth, creates new challenges to health data security and privacy, in ways that directly affect data quality. [ 2 ] mHealth is an increasingly important strategy for delivery of health services in low- and middle-income countries. [ 22 ]
Health data can be used to benefit individuals, public health, and medical research and development. [14] The uses of health data are classified as either primary or secondary. Primary use is when health data is used to deliver health care to the individual from whom it was collected. [15]
Health care quality is the degree to which health care services for individuals and populations increase the likelihood of desired health outcomes. [2] Quality of care plays an important role in describing the iron triangle of health care relationships between quality, cost, and accessibility of health care within a community. [3] Researchers ...
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