Informatics, Data Science and AI Consultation
Mayo Clinic Center for Clinical and Translational Science (CCaTS) provides one-on-one consultations for investigators and study teams in the areas of clinical research informatics, data science and artificial intelligence (AI). The consultation service line helps researchers make the most of information in electronic health records and other data sources to provide data-driven solutions for clinical research and patient care at Mayo Clinic.
CCaTS has partnered with Mayo's Division of Digital Health Sciences to offer a consultation service providing educational support to investigators in the areas of:
- State-of-the-art informatics research
- Data science
- Natural language processing
Consultations can help researchers best use informatics tools such as i2b2, Advanced Text Explorer and the Shared Health Research Informatics Network for feasibility assessment, cohort identification and data collection.
Additionally, the consultation service team is developing a wide range of applications for deriving knowledge from data to support clinicians and biomedical researchers in their clinical practice and research.
Specific consultation topics include:
- Study feasibility, cohort identification and patient recruitment
- Data collection, retrieval and extraction
- Data science, informatics and AI
- Data standards and interoperability
- Translational research
Consultations are available by appointment or walk-in every Thursday from 2 p.m. to 4 p.m. in half-hour slots. They take place in the CCaTS offices on the third floor of the Plummer Building on Mayo Clinic's campus in Rochester, Minnesota.
To schedule an appointment, call the CCaTS Service Center at 507-255-7101 or email CTSAInfoConsult@mayo.edu.
Consultations are offered as a free service by CCaTS and the Division of Digital Health Sciences. If the consultation needs reach beyond the scope of the CCaTS resource, the request may be referred to the Department of Health Sciences Research (must be logged in to the Mayo Clinic network) for additional support; these situations will be handled on a case-by-case basis.