Case Study - How the Implementation of Data Standards Can Lead to Better Data Quality

In the world of healthcare, you expect and rely on having high-quality data to provide the best healthcare. However, data quality can often suffer from several factors, such as duplicate patient profiles, missing data, and a lack of data standardization across data assets. In this session, you will learn:

• How to introduce a data quality program in the early stages of a data governance program
• How to establish standards to improve data veracity and reliability
• How to overcome implementation roadblocks through a data literacy pathway
• How to drive motivation, purpose, and commitment

Speakers: Lauren Cook and Jonathan Ong 

Lauren Cook 

Lauren Cook is currently a Management Analyst under the Public Health Informatics Program of the Mecklenburg County Health Department. She specifically works with COVID-19-related data, where she assists with data storage, data analytic projects, and inquiries. She is also currently assisting in the build-out of the data governance program at Mecklenburg County Public Health.

Jonathan Ong 

Jonathan Ong is currently the Senior Health Manager of the Mecklenburg County Health Department. He oversees applications, analytics, and data strategy and guides health IT innovation and design. At Mecklenburg County Public Health, together with his team, he built a data analytics framework and optimized and expanded various EMRs used in multiple services. As an integral part of the county’s COVID-19 response team, Jonathan developed a set of cohesive applications that handled case investigation, contact tracing, communication, and training.