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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.
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]
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 is any data "related to health conditions, reproductive outcomes, causes of death, and quality of life" [1] for an individual or population. Health data includes clinical metrics along with environmental, socioeconomic, and behavioral information pertinent to health and wellness.
The government is only now starting to collect basic data to gauge the quality of care, more than 30 years after the benefit was introduced. New measures, ushered in under the Affordable Care Act, require hospice operators to submit data that measure seven different conditions for hospice patients, such as pain or shortness of breath.
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 ...
Interoperability between disparate clinical information systems requires common data standards or mapping of every transaction. However common data standards alone will not provide interoperability, and the other requirements are identified in "How Standards will Support Interoperability" from the Faculty of Clinical Informatics [2] and "Interoperability is more than technology: The role of ...