How To Improve Poor Data Quality Across the Healthcare Ecosystem and Make Workflows More Manageable
On-Demand Webinar Presentation
Achieving data quality in healthcare is tricky as nearly 80% of clinical data is unstructured. Those within informaticists roles (like epidemiologist, data scientists, policy analysts) in healthcare, are often tasked with the mundane daily task of cleaning data. This can be frustrating as many went through sophisticated schooling to do more than just cleansing.
The webinar, sponsored by Intelligent Medical Objects, will explore the impact of poor data quality and methods to improve patient data quality. It will also highlight healthcare industry employee burnout and how to improve retention.
Among the areas the webinar will address are:
- Patient data quality in the context of clinical research, patient care, healthcare policy, social determinants of health (SDOH), AI/machine learning and population health.
- How poor-quality data may contribute to employee burnout and retention.
- What are the biggest barriers to achieving clean data?
- How will new technology help improve data quality?
- Q & A with audience
