Скачать или смотреть How do we assess quality in real world data?

Real-world data often refers to data generated by routine healthcare delivery, including electronic health records and claims data, or through patient-generated sources such as wearable devices, social media, and mobile apps. Real-world data has the potential to transform healthcare by enabling more personalized, evidence-based care, while improving health outcomes, and reducing costs. Nonetheless, it also presents challenges around data quality, privacy, and bias, which must be addressed to ensure the quality of the studies.In this presentation from 20 April 2023, Vjola Hoxhaj University Medical Center Utrecht, the Netherlands, will present how we assess quality in real world data.
More information: https://www.imi-conception.eu

The webinar included presentations from:

Miriam Sturkenboom on how we generate evidence on medicines safety in pregnancy:    • How do we generate evidence on medicines s...  

Marieke Hollestele on how we use real world data in an ethical responsible way:    • How do we use real world data in an ethica...  

Vjola Hoxhaj on how we assess quality in real world data:    • How do we assess quality in real world data?  

Rosa Gini on identifying and characterizing pregnancies from heterogeneous real-world data sources    • Identifying and characterizing pregnancies...