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  2. Healthcare Effectiveness Data and Information Set - Wikipedia

    en.wikipedia.org/wiki/Healthcare_Effectiveness...

    Steps in the process include assessment of a measure's "importance, scientific soundness and feasibility"; field testing; public comment; a one-year trial period in which results are not reported publicly; and evaluation of publicly reported measures by "statistical analysis, review of audit results and user comments". [9]

  3. Health data - Wikipedia

    en.wikipedia.org/wiki/Health_data

    Health data are classified as either structured or unstructured. Structured health data is standardized and easily transferable between health information systems. [4] For example, a patient's name, date of birth, or a blood-test result can be recorded in a structured data format.

  4. COVID-19 datasets - Wikipedia

    en.wikipedia.org/wiki/COVID-19_datasets

    A volunteer-run database of testing and medical stats in the United States Sentiment Analysis of users reviews on COVID-19 contact tracing mobile applications [10] [11] March 2021 This dataset is intended to support sentiment analysis of users' reviews on COVID-19 contact tracing mobile applications.

  5. 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 ...

  6. Clinical data standards - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_standards

    Clinical data standards are used to store and communicate information related to healthcare so that its meaning is unambiguous. They are used in clinical practice, in activity analysis and finding, and in research and development. There are many existing and proposed standards and many bodies working in this field.

  7. Biomedical data science - Wikipedia

    en.wikipedia.org/wiki/Biomedical_data_science

    Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.

  8. Nursing Minimum Data Set - Wikipedia

    en.wikipedia.org/wiki/Nursing_Minimum_Data_Set

    The Nursing Minimum Data Set (NMDS) is a classification system which allows for the standardized collection of essential nursing data. The collected data are meant to provide an accurate description of the nursing process used when providing nursing care.

  9. Medical statistics - Wikipedia

    en.wikipedia.org/wiki/Medical_statistics

    However, "biostatistics" more commonly connotes all applications of statistics to biology. [2] Medical statistics is a subdiscipline of statistics. It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses.

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