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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. Health data - Wikipedia

    en.wikipedia.org/wiki/Health_data

    Health data is any data "related to health conditions, reproductive outcomes, causes of death, and quality of life" [1] for an individual or population. Health data includes clinical metrics along with environmental, socioeconomic, and behavioral information pertinent to health and wellness.

  5. 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 ...

  6. Health information management - Wikipedia

    en.wikipedia.org/wiki/Health_information_management

    Analysis: the process of translating data into information utilized for an application. Each aspect is analyzed with 10 different data characteristics: Accuracy: Data are the correct values and are valid. Accessibility: Data items should be easily obtainable and legal to collect. Comprehensiveness: All required data items are included. Ensure ...

  7. Data Science and Predictive Analytics - Wikipedia

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

    The significantly reorganized revised edition of the book (2023) [2] expands and modernizes the presented mathematical principles, computational methods, data science techniques, model-based machine learning and model-free artificial intelligence algorithms. The 14 chapters of the new edition start with an introduction and progressively build ...