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HEDIS 2006 Volume 2: Technical Specifications. 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).
Health plans seek accreditation and measure performance through the administration and submission of the Healthcare Effectiveness Data and Information Set (HEDIS) and Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey. The National Committee for Quality Assurance provides an evidence-based program for case-management ...
Depiction of a set of interrelated FHIR resources. Each resource consists of data elements that describe the healthcare concept. FHIR is organized by resources (e.g., patient, observation). [10] Such resources can be specified further by defining FHIR profiles (for example, binding to a specific terminology).
Definition: Clear definitions should be provided so that current and future data users will know what the data mean. Each data element should have clear meaning and acceptable values. Granularity: The attributes and values of data should be defined at the correct level of detail.
This is a list of roots, suffixes, and prefixes used in medical terminology, their meanings, and their etymologies. Most of them are combining forms in Neo-Latin and hence international scientific vocabulary. There are a few general rules about how they combine.
For example, for diabetes, HEDIS selects an eligible population based on age (18–75 years), continuous enrollment with a certain health insurer and certain "Events/diagnosis" from pharmacy data (electronic), insurance claims data (electronic) or from medical records. Pharmacy data is based on a list of medications prescribed for diabetes.
The prefixes (A01, etc.) are linked to more extensive sub-lists of codes; the medical terms are linked to articles on those topics. The source for this content is the set of 2024 MeSH Trees from NLM. [2] A – Anatomy. A01 – body regions (74 articles) A02 – musculoskeletal system (213 articles) A03 – digestive system (98 articles)
It is devoted to the study of how information about and contained within medical images is retrieved, analyzed, enhanced, and exchanged throughout the medical enterprise. As radiology is an inherently data-intensive and technology-driven specialty, those in this branch of medicine have become leaders in Imaging Informatics.