Biomedical Informatics Research
The Biomedical Informatics research team works with colleagues in every division at Cincinnati Children’s.
We are active in basic, clinical and translational projects focused on cells, population health and everything in between. We lead our own studies as well as efforts to develop applications, software and tools that help other investigators improve their research techniques and analysis.
We design methodologies and provide calculations, consulting, computational models, infrastructure, insights and support.
Our physician scientists and PhD researchers partner with colleagues in the divisions of Allergy and Immunology, Biostatistics and Epidemiology, Critical Care, Gastroenterology, Hospital Medicine, Neonatology, Oncology, Pulmonary Medicine as well as the Pediatric Intensive Care Unit and the Pediatric Transplant Center.
Together with our partners, we strive increase our understanding of topics such as the effects of social determinants of health and medical processes.
Our Research
By its nature, Biomedical Informatics research is about collaboration. Our work focuses on a wide range of topics such as:
- Artificial intelligence (AI)
- Biostatistics
- Clinical biology
- Clinical decision support
- Code creation for AI calculations
- Data analysis for drug discovery
- Epidemiology
- Healthcare disparities
- Health equity
- Immunology data
- Mental health
- Predictive modeling
- School violence
- Sepsis
- Software and web development for research centers and networks
We are experts in:
- Knowledge extraction. We integrate existing data from varied sources and develop new approaches to a general hypothesis. An end goal might be to find a novel drug molecule or an existing drug that can effectively treat other conditions.
- Repurposing clinical data. Clinical trials generate a lot of raw data. We take that information and compare it to data from other trials or other sections of the same trial. This is a way to investigate an idea or ask questions that a study didn’t address.
We are also a participating site of the Genomic Information Commons (GIC). This research initiative includes multiple academic medical centers. The GIC provides opportunities for investigators to take part in multi-institutional research collaboration related to genomics, biomarker and epidemiological research. The GIC shares consented patient health data to achieve improved health outcomes for patients, families and communities.
Research By the Numbers
Our 17 primary faculty, 15 secondary faculty and their research teams are highly successful in publishing their findings in top journals and securing diverse funding for their work.
