An ever-increasing amount of information is now collected on patients due to implementation of electronic medical records at most hospitals. Once data is processed and cleaned to ensure high-quality information, it can be used to study adverse health events and what might cause them to occur. Using examples from research at the University of Chicago, prediction modelling using big data will be discussed. By utilizing these predictive algorithms, hospitals and healthcare providers can identify trends in their systems to identify those at greatest risk and ultimately make patients safer.
Graham School Master of Science in Biomedical Informatics
Over the past thirty years, biomedical informatics has emerged as an independent rigorous discipline. Due to the rapid growth of clinical information systems, networked healthcare platforms, high-throughput genomic technologies, and consumer and public health informatics, the demand for knowledgeable and experienced staff and faculty has far outpaced the number of available trainees. Students who earn the University of Chicago Graham School’s Master of Science in Biomedical Informatics degree will be prepared with the necessary knowledge and technical skills to tackle everyday management issues and to guide large informatics projects in clinical and research settings.
To learn more about the program, join us for an information session at the Billings Hospital. From 12:00-12:30pm, Samuel L. Volchenboum, MD, PhD, MS, will lecture on “Using Big Data to Make Hospitals Safer” After 12:30pm, there will be a short presentation about the MScBMI program, Q&A, and time to speak one-on-one with program staff and faculty. Food and beverages will be available.
If you would like to attend the lecture, please register in the fields provided.
Samuel Volchenboum, MD, PhD, MS
Dr. Volchenboum, MScBMI faculty director, is a pediatric oncologist and informaticist. In addition to taking care of children with cancer and blood diseases, Dr. Volchenboum directs the University of Chicago Center for Research Informatics (CRI), a 40-person group that provides computational support and collaboration to researchers within the University of Chicago Biological Sciences Division. Dr. Volchenboum has a special interest in assembling and integrating large data sets to enable clinical research. Dr. Volchenboum's main area of research is in utilizing large clinical data sets to make inferences about how disruptive events in the hospital can lead to downstream perturbations and alterations in healthcare delivery.