What are the main challenges in using real-world evidence?
The main challenges include data quality, variability in data sources, and regulatory acceptance.
How does data quality affect real-world evidence?
Data quality impacts the reliability of findings; poor quality can lead to misleading conclusions.
What types of data sources are commonly used?
Common sources include electronic health records, insurance claims, and patient registries.
Are there any regulatory challenges?
Yes, regulatory bodies often have strict guidelines that can complicate the use of real-world evidence.
What steps can be taken to improve data quality?
Improving data quality can involve standardizing data collection methods and ensuring proper training for data handlers.
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