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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.
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 ...
Population health has been defined as "the health outcomes of a group of individuals, ... 2001: systematic analysis of population health data" (PDF). The Lancet. 367 ...
Every community across the U.S. receiving HUD funding is required to tally its homeless population, said Adam Ruege, a data analyst who worked with the U.S. Department of Veterans Affairs and now ...
The basic task of a clinical coder is to classify medical and health care concepts using a standardised classification. Inpatient, mortality events, outpatient episodes, general practitioner visits and population health studies can all be coded. Clinical coding has three key phases: a) abstraction; b) assignment; and c) review. [5]
[3] [4] OMOP developed a Common Data Model (CDM), standardizing the way observational data is represented. [3] After OMOP ended, this standard started being maintained and updated by OHDSI. [1] As of February 2024, the most recent CDM is at version 6.0, while version 5.4 is the stable version used by most tools in the OMOP ecosystem. [5]