The Division of Biomedical Informatics (BMI) at Cincinnati Children's Research Foundation
Both the Division of Biomedical Informatics at Cincinnati Children's Research Foundation and the University of Cincinnati Center for Health Informatics serve together as the biomedical informatics arm of the CCTST. The research in bioinformatics and clinical informatics advances the understanding of comparative/functional genomics, systems biology, and proteomics; natural language processing; genome-wide association studies of diseases; data warehousing and data mining; and high-performance computing.
BMI provides research IT services, developing and maintaining systems, software and other IT infrastructure to support a growing number of basic, clinical and translational research programs at Cincinnati Children’s and the University of Cincinnati College of Medicine. The BMI program also educates the next generation of researchers through its biomedical informatics graduate programs at the University of Cincinnati.
BMI support research at Cincinnati Children’s with a variety of computational resources and services, including:
- Data processing, analysis and pipeline development
- Visualization, presentation and sharing
- Letters of support
- Artificial intelligence (AI) solution integration
- Predictive data analytics
- Natural language processing
- Web/mobile application development
- Data extraction/integration/visualization including EHR data for research
- Data coordinating center services
- Application/server hosting and computational infrastructure
- Data storage and databases
- High-performance computing
A PhD and graduate certificate in biomedical informatics is offered from the University of Cincinnati College of Medicine and Cincinnati Children's Hospital Medical Center. The BMI faculty and students use computers to solve problems in genomics, big data, precision medicine, patient safety, decision support, systems biology and more. Students can choose one of two primary tracks including bioinformatics (cellular-level data) or clinical informatics (patient-level data).
The PhD program teaches key analytical concepts underlying informatics and data science so that students can make new discoveries, translate data into actionable knowledge and improve health care practice. BMI faculty are committed to providing students with strong interdisciplinary mentorship and an environment supporting research and career development. Qualified PhD students accepted to the program typically receive full tuition support, a nationally competitive stipend and a health insurance plan.
The 19-credit graduate certificate is open to graduate students as well as clinicians and professionals. It features both coursework and hands-on training opportunities. The curriculum will train students in both quantitative and biomedical programs to develop and apply computational methods addressing current problems in biomedicine and to design/implement clinical informatics systems. The program is also designed to enable training of clinicians and health care professionals who are interested in the integration of electronic health record (EHR) and related systems with clinical practice and research.
Request more information about the graduate programs here.