Clinical Research Dataset

A Clinical Research Dataset is a dataset that contains measurements and information that is collected during clinical research tasks.

• Context:
  • It can include: Health Information, Patient/Disease Registry, Clinical Trial Data.
  • It can be captured by a Clinical EDC System.
  • …
• Example(s):
  • Electronic Health Record,
  • Clinical Trial Data,
  • …
• Counter-Example(s):
  • Seismology Data,
  • Real State Data.
• See: Clinical Research Data Management System, Synthetic Dataset, Real World Dataset, Clinical Data Record, Patient, Doctor, Medical Attention, Biological Dataset, Biomedical Dataset.

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References

2020

• (Propharmagroup, 2020) ⇒ https://www.propharmagroup.com/blog/clinical-data-and-clinical-data-science/
  • QUOTE: ... Clinical data is information gathered for the broad purpose of clinical research on the micro-level (patient care) to the macro-level (broad applications within a health system). Clinical data can be collected in a number of different ways:
    • Electronic Health Records: These records, typically only available within a hospital system, are essentially a patient’s digital history. They include everything from the patient’s last round of diagnostics to any medications they are taking and everything in between.
    • Patient/Disease Registries: These registries follow specific patient populations based on certain diseases and conditions. Information related to these populations is gathered to then inform further research, and ideally, improve patient outcomes. The National Program of Cancer Registries, for example, gathers data from local entities to allow for a more unified response to cancer research.
    • Clinical Trial Data: This is data gathered as part of a clinical trial, which is research around new drug applications, treatment methods, device testing, and other applications where data gathering is necessary to determine patient outcomes.
  • Clinical data has broad applications in the healthcare industry. It’s important to know what to look for in that data, particularly when working with data gathering as part of clinical research.

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