My greatest areas of interest are machine learning and natural language processing (NLP), and their applications in clinical informatics. I have more than 15 years of research experience in machine learning and NLP. I began my work at Cincinnati Children’s in 2012. Using these technologies, I want to improve the efficiency, effectiveness and safety of healthcare across the nation.
I lead the Design, Analytics, Integration (dAIn) Program at the Division of Biomedical Informatics (BMI) to facilitate the implementation and integration of artificial intelligence (AI) solutions at Cincinnati Children’s. My team collaborates with clinical providers, information service engineers, and biomedical and computational scientists. The ultimate goal is to advance clinical informatics with state-of-the-art AI technologies across clinical divisions. I have active collaborations with over 15 clinical divisions at Cincinnati Children’s and the University of Cincinnati, including:
- Biostatistics and Epidemiology
- Center for Clinical & Translational Science & Training
- Emergency Medicine
- General & Community Pediatrics
- Heart Institute
- Hospital Medicine
- James M Anderson Center
- Pulmonary Biology
- Rehabilitation Medicine (CCHMC & University of Cincinnati)
- The Center for Autoimmune Genomics and Etiology
My research is application-oriented, which aims at improving the quality of healthcare by providing usable data (efficiency), aiding clinicians in objective decision-making (effectiveness) and providing reliable and proactive prediction of clinical outcomes (safety). I designed an automated clinical trial eligibility screener© to efficiently assist with the recruitment of research participants. I also developed an automated risk assessment system for detecting subject potential for school violence.
I have led and participated in various research projects such as:
- Automated risk assessment for school violence prevention (R01)
- A multisite study of psychiatric treatment on suicidal adolescents (PCORI)
- Electronic Medical Records and Genomics Network (eMERGE) project (U01)
- Sustainable surveillance of diabetes (U18)
- Medication safety in intensive care units (R01)
- Investigation of environmental contributions to rapid lung disease progression (R01)
In addition to my research, I’m a machine learning specialist for multiple quality improvement projects such as the safety and situation awareness project.
Clinical informatics; natural language processing; machine learning (predictive modeling)
Assistant Professor, UC Department of PediatricsUC Department of Biomedical Informatics