Course Detail
Course Components:
The increasing availability of real-world healthcare data, such as electronic health records (EHR), has opened opportunities for research. EHRs consist of regularly collected longitudinal data with long-term follow-up and large sample size, including demographics, medical diagnoses and procedures, medications, laboratory test results, and free text data like progression nodes, radiology reports. Large-scale EHR data across healthcare systems and the frequent linking with biobanks, and/or insurance claims, and/or registries enable us to do all kinds of studies from association studies to predict modeling to comparative effectiveness research. With these cost-effective data sources, an individual's health can now be characterized with higher precision and depth, facilitating contemporary precision medicine. This course provides an overview of modern analytical methods and applications with EHR data. By the end of the course, participants will gain a broader understanding of the opportunities and challenges associated with the secondary use of EHR data for research. They will be equipped to generate and explore new questions, perspectives, and methodological developments in the field.