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2. Health care analytics - Wikipedia

   en.wikipedia.org/wiki/Health_care_analytics

   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 ...

3. Health data - Wikipedia

   en.wikipedia.org/wiki/Health_data

   A plurality of health data are collected and used when individuals interact with health care systems. This data, collected by health care providers, typically includes a record of services received, conditions of those services, and clinical outcomes or information concerning those services. [2]

4. Clinical data standards - Wikipedia

   en.wikipedia.org/wiki/Clinical_data_standards

   It is maintained by Observational Health Data Sciences and Informatics consortium. PCORNet Common Data Model: First defined in 2014 and used by PCORI and People-Centered Research Foundation. Virtual Data Warehouse: First defined in 2006 by HMO Research Network. Since 2015, by Health Care System Research Network.

5. List of open-source health software - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source_health...

   Galaxy is a web platform for data-intensive biology using geographically-distributed supercomputers. [56] LabKey Server is an extensible platform for integrating, analyzing and sharing all types of biomedical research data. It provides secure, web-based access to research data and includes a customizable data processing pipeline.

6. Health informatics - Wikipedia

   en.wikipedia.org/wiki/Health_informatics

   Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...

7. Artificial intelligence in healthcare - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   The trend of large health companies merging allows for greater health data accessibility. Greater health data lays the groundwork for the implementation of AI algorithms. A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support systems. As more data is collected, machine learning ...