Connect Sign InLeveraging Clinical Laboratory Analytics
The clinical laboratory generates an enormous amount of data that can be used to improve laboratory efficiency, maintain high-quality testing, and support clinical and operational decisions. In this webinar, we will review the fundamental architecture and data elements common in clinical laboratory testing. Then, using specific examples, we will see how those concepts can be applied to create and analyze reports and dashboards that support clinical and operational decision-making. We will also discuss the importance of data wrangling and some of the potential pitfalls that come with clinical laboratory data.
Originally published on December 17, 2024, in Salt Lake City, Utah.
Dr. Jenna Rychert is the medical director of Operational Informatics and the director of Laboratory and Clinical IT. She also serves as a medical director of Microbial Immunology, Exception Handling, Referral Testing, and Client Response Communications teams at ARUP Laboratories. She is an adjunct associate professor at the University of Utah School of Medicine. She received her bachelor’s degree in mathematics from Boise State University and her doctorate in microbiology, immunology, and parasitology from Louisiana State University Health Sciences Center. Dr. Rychert served as a postdoctoral fellow at Massachusetts General Hospital and Harvard Medical School while studying the immunology of acute HIV infection. She completed a clinical microbiology fellowship at Massachusetts General Hospital and is certified by the American Board of Medical Microbiology (ABMM). Dr. Rychert is an active participant on the Logical Observation Identifier Names and Codes (LOINC) Laboratory Committee. Her clinical and research interests include laboratory informatics, healthcare interoperability, regulatory oversight of clinical laboratories, and global health.
