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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 ]
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 ...
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.
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.
"Information quality" is a measure of the value which the information provides to the user of that information. [1] " Quality" is often perceived as subjective and the quality of information can then vary among users and among uses of the information.
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.