Data Quality Management The Business Processes That...

Data Quality Management: The business processes that ensure the integrity of an organization s data during collection, application (including aggregation), warehousing, and analysis. While the healthcare industry still has quite a journey ahead in order to reach the robust goal of national healthcare data standards, the following initiatives are a step in the right direction for data exchange and interoperability: †¢ Continuity of Care Document (CCD), Clinical Documentation Architecture (CDA) †¢ Data Elements for Emergency Department Systems (DEEDS) †¢ Uniform Hospital Discharge Data Set (UHDDS) †¢ Minimum Data Set (MDS) for long-term care †¢ ICD-10-CM/PCS, Systemized Nomenclature of Medicine—Clinical Terms (SNOMED CT), Logical Observation Identifiers Names and Codes (LOINC). Data Quality Measurement: A quality measure is a mechanism to assign a quantity to quality of care by comparison to a criterion. Quality measurements typically focus on structures or processes of care that have a demonstrated relationship to positive health outcomes and are under the control of the healthcare system. This is evidenced by the many initiatives to capture quality/performance measurement data, including: †¢ The Joint Commission Core Measures †¢ Outcomes and Assessment Information Set (OASIS) for home health care †¢ National Committee for Quality Assurance s (NCQA) Health Plan Employer Data and Information Set (HEDIS) †¢ Meaningful Use-defined core and menu sets These data sets will be used withinShow MoreRelatedElectronic Healthcare Information Systems Analysis1348 Words   |  6 PagesDatabases, Electronic Healthcare Information Systems, Data Sets and Data Standards Patient data is crucial to healthcare practice. Having the ability to create, modify, delete, and view patient data is the most important aspect of healthcare. A vital storage mechanism to perform the above functions is a database. 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