Request This Service »
When providing healthcare services to patients, healthcare workers must retrieve previous information and document new information. Clinical informatics is the study of methods to improve this information workflow, including the capture and management of clinical information and the engineering of clinical decision support systems. Clinical research informatics is the use of informatics to enable the generation of new information about health and disease.
We provide consultations in the following domains:
Clinical data collection to support clinical trials
- Patient cohort identification
Secondary use of clinical data
- Patient cohort data management and storage
- Patient data de-identification
- Data transformation and pre-processing
Application of machine learning and statistical tools
Service Providers:
Daniel Harris, PhD
Assistant Professor, Department of Pharmacy Practice & Science
Specialities: Health analytics and learning networks, multi-site patient cohort identification
Ramakanth Kavuluru, PhD
Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine
Specialities: Longitudinal predictive modeling and association rule mining from EMRs.
Jin Chen, PhD
Associate Professor of Biomedical Informatics
Specialities: Temporal EHR data analysis using machine learning, medical image data analysis
Qiang (Shawn) Cheng, PhD
Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine
Specialities: Biomarker and risk factor determination, patient time trajectory and fate prediction, subgroup identification, association or causal analysis, integrative study of heterogeneous data, clinical image analysis, EEG or other signal analysis,
and information management
V. K. Cody Bumgardner, PhD
Assistant Professor, Department of Pathology & Laboratory Medicine
Director, Pathology & Laboratory Medicine Informatics
Specialities: Secure management and analysis of many types of pathology and laboratory data including, but not limited to, Next Generation Sequencing (NGS),
Whole Slide Imaging (WSI), and clinical Mass Spectrometry (MS),
which includes the curation of research data derived from clinical workflows
Learn more about the Biomedical Informatics Core »
