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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. Job Descriptions Decoded: Healthcare Analytics Analyst ... - AOL

    www.aol.com/news/2014-05-21-job-descriptions...

    Getty Images In this week's "Job Descriptions Decoded," I analyze a healthcare analytics position. This is the fourth in a series where I break down job descriptions and highlight items listed ...

  4. 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 ...

  5. Health data - Wikipedia

    en.wikipedia.org/wiki/Health_data

    Data has become increasingly valuable in the 21st century and new economies have been shaped by who controls it [11] —health data and the health care industry are unlikely to be an exception. An increase in PGHD has led some experts to envision a future in which patients have greater influence over the health care system. [12]

  6. Looking for a job in health care? Job fair will have ... - AOL

    www.aol.com/looking-job-health-care-job...

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  7. Public health informatics - Wikipedia

    en.wikipedia.org/wiki/Public_health_informatics

    Due to the complexity and variability of public health data, like health care data generally, the issue of data modeling presents a particular challenge. While a generation ago flat data sets for statistical analysis were the norm, today's requirements of interoperability and integrated sets of data across the public health enterprise require ...

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