Through concrete examples of data quality issues, this course will explain and illustrate the use cases for which computable health data can be useful and crucial. This is where you can further expand your knowledge of assessing and measuring data quality. You can also discover the different factors affecting data quality and the strategies and statistical methods to compensate and improve the quality of health data.
This course will also discuss opportunities from big data for learning health systems and touch on regulations such as the GDPR.
Duration: ~7 hours
This course will take you through a patient’s journey in a hospital and initiate you into the hospital information system and electronic health record (EHR). Aside from familiarizing you with the medical informatics terms and digital health standards, this course is illustrated through several success stories of innovative EHR and new trends in clinical decision support system (CDSS).
Duration: ~50 minutes
This course will provide an inside look at clinical trials and the digital technologies that are transforming them. These include electronic data capture systems, clinical data warehouse, registries, real world evidence, and artificial intelligence/machine learning.
Duration: ~3.8 hours