A lot of clinical data is collected, some of it in a structured manner, some in an unstructured manner. Goal is creating a sustainable infrastructure that enables researchers in reusing the clinical data.

Why should we re use clinical data?

  • Cost Savings: Reusing clinical data can save a significant amount of time and money. Collecting new data can be expensive and time-consuming, especially in the healthcare industry, where obtaining ethical approval and recruiting patients for studies can be challenging.

  • Improved Efficiency: Reusing clinical data can help to improve the efficiency of research studies. By using existing data, researchers can analyze large datasets quickly and efficiently, enabling them to make more informed decisions.

  • Enhanced Research Quality: Reusing clinical data can help to enhance the quality of research studies. Large datasets can help to identify trends, patterns, and correlations that may not be apparent in smaller datasets, leading to more accurate and reliable results.

  • Increased Sample Size: Reusing clinical data can help to increase the sample size of a study, which can improve the statistical power of the analysis. A larger sample size can help to identify smaller effects that may not be apparent in smaller studies.

  • Longitudinal Studies: Reusing clinical data can enable researchers to conduct longitudinal studies, which can track changes over time. Longitudinal studies can provide valuable insights into the progression of diseases, treatment efficacy, and patient outcomes.

Overall, reusing clinical data can offer several benefits, including cost savings, improved efficiency, enhanced research quality, increased sample size, and the ability to conduct longitudinal studies.

Tom Delnoy

Information Engineer & Data Architect MUMC+

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