DMS Statistics and Data Science Seminar

Jessie Tong (Assistant Professor, Department of Biostatistics, Johns Hopkins University)

Title: Using Electronic Health Records Data for Clinical Evidence Generation

Abstract: In the era of expanding real-world data (RWD) availability from distributed research networks (DRNs), it becomes essential to leverage the data to generate evidence for clinical inquiries relevant to stakeholders in the healthcare system. To provide the answer to inquiries regarding hospital and treatment options, medication queries, and others, we still face practical challenges in analyzing the RWD, such as reporting bias, confounding factors, and rare events. It is particularly challenging when integrating data from multiple clinical sites within the DRNs given the data privacy, patient heterogeneity, also known as case-mix situation, and communication cost. In my presentation, centered on the theme of real-world evidence-based health system performance assessment, I will introduce our distributed learning frameworks designed to produce actionable analytical insights for hospital profiling, with the ultimate goal of enhancing hospitals’ quality of care and patients’ clinical outcomes. The effectiveness and reliability of our proposed framework have been validated through real-world application in collaboration with 12 clinical sites across three countries within the Observational Health Data Sciences and Informatics (OHDSI) network.