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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Examples of uses of big data in public services: Data on prescription drugs: by connecting origin, location and the time of each prescription, a research unit was able to exemplify and examine the considerable delay between the release of any given drug, and a UK-wide adaptation of the National Institute for Health and Care Excellence ...

  3. 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 ...

  4. 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]

  5. 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 ...

  6. Data Science and Predictive Analytics - Wikipedia

    en.wikipedia.org/wiki/Data_Science_and...

    By using the statistical computing platform R and a broad range of biomedical case-studies, the 23 chapters of the book first edition provide explicit examples of importing, exporting, processing, modeling, visualizing, and interpreting large, multivariate, incomplete, heterogeneous, longitudinal, and incomplete datasets .

  7. Artificial intelligence in healthcare - Wikipedia

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

    As more data is collected, machine learning algorithms adapt and allow for more robust responses and solutions. [110] Numerous companies are exploring the possibilities of the incorporation of big data in the healthcare industry. Many companies investigate the market opportunities through the realms of "data assessment, storage, management, and ...

  8. Today's Wordle Hint, Answer for #1272 on Thursday, December ...

    www.aol.com/todays-wordle-hint-answer-1272...

    If you’re stuck on today’s Wordle answer, we’re here to help—but beware of spoilers for Wordle 1272 ahead. Let's start with a few hints.

  9. Enterprise master patient index - Wikipedia

    en.wikipedia.org/wiki/Enterprise_master_patient...

    In computing, an enterprise[-wide] master patient index is a form of customer data integration (CDI) specific to the healthcare industry.Healthcare organizations and groups use EMPI to identify, match, merge, de-duplicate, and cleanse patient records to create a master index that may be used to obtain a complete and single view of a patient.