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There are important and growing opportunities to use health data for improving healthcare quality, surveillance, health system management and research. It is essential to leverage such potential while managing possible risks related to the misuse of personal data.
Clinical data standards are used to store and communicate information related to healthcare so that its meaning is unambiguous. They are used in clinical practice, in activity analysis and finding, and in research and development. There are many existing and proposed standards and many bodies working in this field.
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.
Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.
The Healthcare Effectiveness Data and Information Set (HEDIS) is a widely used set of performance measures in the managed care industry, developed and maintained by the National Committee for Quality Assurance (NCQA). HEDIS was designed to allow consumers to compare health plan performance to other plans and to national or regional benchmarks.
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]
Recently, the team published their research in Frontiers in Aging, showing that CheekAge can accurately predict mortality risk, even when epigenetic data from other tissues is used.
In 2015 CMS identified 254 quality measures for which providers may choose to submit data. The measures map to U.S. National Quality Standard (NQS) health care quality domains: [4] Communication and Care Coordination; Community/Population Health; Effective Clinical Care; Efficiency and Cost Reduction; Patient Safety