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Data aggregation is the compiling of information from databases with intent to prepare combined datasets for data processing. [1] Description
Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an aggregate of the firms’ individual outputs within that industry. [1] Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data.
Health Information Exchange (HIE) is the mobilization of health care information electronically across organizations within a region, community or hospital system. In the aggregate, participants in data exchange are called Health Information Networks (HIN).
A Clinical Data Repository (CDR) or Clinical Data Warehouse (CDW) is a real time database that consolidates data from a variety of clinical sources to present a unified view of a single patient. It is optimized to allow clinicians to retrieve data for a single patient rather than to identify a population of patients with common characteristics ...
HealthShare includes health information exchange, data aggregation, work flow, text analysis, and analytics technology. [3] It connects to internal and external systems for HIE, and offers an integrated, universal view of all the data. [4]
DHIS2 supports health data standards such as FHIR, SNOMED GPS, LOINC, and ICD-10, as well as the generic ADX format for aggregate data exchange. [10] The DHIS2 data model and platform are generic by design, not specifically tailored to the health context, to facilitate the application of DHIS2 to a variety of use cases. DHIS2 is a web-based ...
HuffPost Data. Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software; ... 5/13 Health Care Cost Disparities.
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 ...
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