We are looking forward to Karolina Mackiewicz’ session: “Artificial Intelligence and its impact on data quality and data governance”at the Health Data Forum Global Hybrid Summit, 17 November at 1:30-17:45 CET, Porto.
It is well recognized by all stakeholders, that health data offers huge opportunities to accelerate research and to improve care.
The value of the massively growing health data volumes to advance healthcare and clinical research is beyond dispute. Although the change to this data-driven environment, this “big data revolution” has not reached its full potential due to concerns related to the quality of health data. Data quality is about having confidence in the quality of the data that you record and the data you (re)use. And the most important condition for trustworthy use and re-use data is obtaining high-quality data. In the healthcare setting, enormous amounts of data are generated at every point of interaction.
Obtaining high-quality data in this healthcare setting seems evident and straightforward, unfortunately this doesn’t appear to be the case in practice. Data quality is a dynamic complexity, an ever-changing requirement that needs to be redefined over time and over different projects. Because of this complexity, there are enormous challenges to overcome before achieving high quality data. Challenges involving the management and improvement of people, processes, policies, measurements, technologies and standards.
The aim of this summit is to demonstrate the importance of quality of healthcare data, how to measure data quality and how to improve it. Whether for primary use or secondary use, data quality is an universal requirement. It is the most important real world data challenges. Data without quality can neither contribute value nor serve any useful purpose.
In addition, the summit will combine the different perspectives of data scientists, healthcare professionals, patients, and governance to find the much-needed consensus for the next generation of healthcare systems.