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  2. Biological data - Wikipedia

    en.wikipedia.org/wiki/Biological_data

    Biological data has also been difficult to define, as bioinformatics is a wide-encompassing field. Further, the question of what constitutes as being a living organism has been contentious, as "alive" represents a nebulous term that encompasses molecular evolution, biological modeling, biophysics, and systems biology.

  3. 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.

  4. Clinical data repository - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_repository

    A Clinical Data Repository (CDR) or Clinical Data Warehouse (CDW) is a real time database that consolidates data from a variety of clinical sources to present a unified view of a single patient. It is optimized to allow clinicians to retrieve data for a single patient rather than to identify a population of patients with common characteristics ...

  5. 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.

  6. Clinical data management - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_management

    The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure

  7. Translational bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Translational_bioinformatics

    Data integration involves developing methods that use biological information for the clinical setting. Integrating data empowers clinician's with tools for data access, knowledge discovery, and decision support. Data integration serves to utilize the wealth of information available in bioinformatics to improve patient health and safety.

  8. Health informatics - Wikipedia

    en.wikipedia.org/wiki/Health_informatics

    An example of an application of informatics in medicine is bioimage informatics.. Dutch former professor of medical informatics Jan van Bemmel has described medical informatics as the theoretical and practical aspects of information processing and communication based on knowledge and experience derived from processes in medicine and health care.

  9. 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.