What does TDC mean in THERAPEUTICS
The Therapeutics Data Commons (TDC) is an open access repository of therapeutic data supported by the US Department of Health and Human Services. The TDC provides a comprehensive and organized library of real-world evidence, patient-level clinical trial data and healthcare claims to provide a seamless, aggregated view of patient treatment outcomes.
TDC meaning in Therapeutics in Medical
TDC mostly used in an acronym Therapeutics in Category Medical that means Therapeutics Data Commons
Shorthand: TDC,
Full Form: Therapeutics Data Commons
For more information of "Therapeutics Data Commons", see the section below.
» Medical » Therapeutics
Essential Questions and Answers on Therapeutics Data Commons in "MEDICAL»THERAPEUTICS"
What does the TDC provide?
The TDC provides a comprehensive and organized library of real-world evidence, patient-level clinical trial data, and healthcare claims to provide a seamless, aggregated view of patient treatment outcomes.
Who supports the TDC?
The TDC is supported by the US Department of Health and Human Services.
Is there charge or fee to access or use the TDC?
No, access to the TDC is free.
What type of information can be found in the TDC?
The TDC contains real-world evidence, patient-level clinical trial data and healthcare claims in order to provide a comprehensive overview of patient treatments outcomes.
Is the information from the TDC secure?
Yes, all information contained within the TDC is stored securely on servers that meet HIPAA standards for privacy. Additionally all data accessed through the TDC are confidential information that is compliant with US federal regulations.
Final Words:
The Therapeutics Data Commons (TDC) provides an invaluable resource for understanding how treatments may be affected by different factors such as demographic characteristics and health conditions. By providing access to real-world evidence and patient-level clinical trial data in an easy to use format, it allows researchers to quickly analyze treatment outcomes on an individual level or across multiple datasets, thus producing more accurate results faster than ever before possible.
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