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AHIMA describes its foundation as a sister organization to the Association for Healthcare Documentation Integrity (AHDI) and states the foundation has a charitable and educational nature. The foundation formulates and issues opinions, supports education, conducts research and compiles its contributions into the AHIMA BoK ( body of knowledge ).
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. Continuous quality management of data standards and content is key to ensuring that information is usable and actionable. [16]
CCHIT was founded in 2004 with support from three leading industry associations in healthcare information management and technology: the American Health Information Management Association (AHIMA), the Healthcare Information and Management Systems Society (HIMSS) and the National Alliance for Health Information Technology (the Alliance).
Clinical documentation improvement (CDI), also known as "clinical documentation integrity", is the best practices, processes, technology, people, and joint effort between providers and billers that advocates the completeness, precision, and validity of provider documentation inherent to transaction code sets (e.g. ICD-10-CM, ICD-10-PCS, CPT, HCPCS) sanctioned by the Health Insurance ...
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 Information Quality Act (IQA) or Data Quality Act (DQA), passed through the United States Congress in Section 515 of the Consolidated Appropriations Act, 2001 (Pub. L. 106–554 (text)). Because the Act was a two-sentence rider in a spending bill , it had no name given in the actual legislation.
Good clinical data management practice (GCDMP) is the current industry standards for clinical data management that consist of best business practice and acceptable regulatory standards. In all phases of clinical trials , clinical and laboratory information must be collected and converted to digital form for analysis and reporting purposes.
As data generation exploded in recent decades, and regulations and compliance issues increased, traditional records management failed to keep pace. A more comprehensive platform for managing records and information became necessary to address all phases of the lifecycle, which led to the advent of information governance.