The ConcePTION project is developing a data quality pipeline to evaluate whether observational healthcare data are fit to generate evidence on use and safety of medicines and vaccines. Earlier this year, members of the ConcePTION data pipeline team presented results at the Make Health Data Latam conference on 11-13 January held in Valparaiso, Chile, sharing experiences with researchers and innovators from Latin America regarding the use and interoperability of healthcare records, artificial intelligence, and local solutions to the challenges in the region based on data sciences.
The ConcePTION data quality pipeline was presented by post-doctoral researcher Constanza Andaur Navarro from the real-world data team at the Julius Center, which is located in UMC Utrecht, The Netherlands. This work is led by Vjola Hoxhaj, PhD student at the Julius Center, and Prof. Miriam Sturkenboom, who is also the coordinator of the ConcePTION project. The pipeline assesses whether observational data sources are fit to generate evidence on the use and safety of medications and vaccines, a fundamental step when generating Real World Evidence.
This work is part a work package focused on providing ethical and governance and quality assessment support for the conduct of distributed data collection and analyses which will support generation of high quality real world evidence on the effects of drugs during pregnancy and lactation.
Want to know more? Download the poster: Generating evidence from RWE: The ConcePTION data quality pipeline. Or visit the conference website. The Make Health Data Latam conferences is both a health data science conference and datathon, creating a forum for those who share our aim to build a better, safer, and equitable healthcare ecosystem, worldwide.
By Josepine Fernow