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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 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 ...

4. Why Open Architecture Is Vital to the Health Sector - AOL

   www.aol.com/2014/03/06/why-open-architecture-is...

   For insurer UnitedHealth Group , partnerships with Fitbit and other tech companies offer an opportunity to use consumer-generated data to improve health outcomes. Open architecture is a key part ...

5. Health Informatics Service Architecture - Wikipedia

   en.wikipedia.org/wiki/Health_Informatics_Service...

   Part one of the standard sets forth the common enterprise-level requirements (e.g. workflows, authorizations) that must be supported through the HISA, which integrates the common data and business logic into a specific architectural layer (i.e. the middleware), accessible throughout the whole information system of the health service. [8]

6. Health data - Wikipedia

   en.wikipedia.org/wiki/Health_data

   Health data can be used to benefit individuals, public health, and medical research and development. [14] The uses of health data are classified as either primary or secondary. Primary use is when health data is used to deliver health care to the individual from whom it was collected. [15]

7. Learning health systems - Wikipedia

   en.wikipedia.org/wiki/Learning_health_systems

   The LHS is a multidisciplinary and multi-stakeholder model for improvement, wherein clinical practitioners, health system leaders, data analysts and health IT experts, operations personnel, and researchers bring requisite expertise to bear throughout the cycle of improving health and healthcare.

8. Health Level 7 - Wikipedia

   en.wikipedia.org/wiki/Health_Level_7

   The standards allow for easier 'interoperability' of healthcare data as it is shared and processed uniformly and consistently by the different systems. This allows clinical and non-clinical data to be shared more easily, theoretically improving patient care and health system performance. [1]

9. 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 ...