Expertise
Six domains in which Dr. Osterman publishes, presents, and leads. Each domain has its own page with named programs, peer-reviewed publications, talks, and relevant external coverage - all auto-updated from the same source-of-truth library that drives /research/ and /speaking/.
-
AI in oncology
Machine learning and large language models for clinical decision support, efficacy and toxicity prediction, and structured data extraction at scale.
-
Cancer data standards (mCODE)
International oncology data interoperability via HL7 FHIR. Standards governance, regulatory uptake, and the infrastructure that makes downstream research and quality reporting tractable.
-
Clinical genomics in the EHR
Bringing structured genomic data into the electronic health record at scale - reference-lab integration, decision support, and the governance that makes external research collaborations possible.
-
Precision oncology implementation
Translating structured molecular results into point-of-care decision support: trial matching, biomarker-driven therapy selection, structured staging at scale.
-
Clinical informatics education
A unified curriculum spanning undergraduate and graduate medical education. Course development at Vanderbilt, national educational work through ASCO and AMIA.
-
Lung Cancer
Active medical-oncology practice in lung cancer paired with informatics research that brought structured smoking history into the EHR - SHAPES and its BERT-era successor SmokeBERT - plus screening implementation, immune checkpoint inhibitor prediction, and bedside research from atypical cases.
Frequently asked questions
- What are Travis Osterman's areas of expertise?
- Six domains: cancer data standards (mCODE), clinical genomics in the electronic health record, AI in oncology, precision oncology implementation, clinical informatics education, and lung cancer.
- What is Travis Osterman's work in AI in oncology?
- It spans machine-learning prediction of immune checkpoint inhibitor effectiveness and toxicity (the GE HealthCare Digital Precision Oncology collaboration), an early clinical evaluation of ChatGPT (Goodman et al., JAMA Network Open 2023), the Cancer 2025 review mapping AI across the care continuum, and policy keynotes for the NCCN.
- What has Travis Osterman published on clinical genomics in the EHR?
- Vanderbilt Health holds more structured genomic data in its electronic health record than any other institution in the United States, and was the eighth US institution to integrate reference-lab genomic results directly into Epic. His work covers the data models and workflows that make genomic results usable at the point of care.
- Where can I find Travis Osterman's publications and talks?
- The /research/ page lists peer-reviewed publications, patents, and grants, and /speaking/ lists invited and scientific presentations. Both are generated from the same source-of-truth library that powers each expertise page.