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/.
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AI in oncology
Machine learning and large language models for clinical decision support, efficacy and toxicity prediction, and structured data extraction at scale.
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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.
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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.
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Precision oncology implementation
Translating structured molecular results into point-of-care decision support: trial matching, biomarker-driven therapy selection, structured staging at scale.
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Clinical informatics education
A unified curriculum spanning undergraduate and graduate medical education. Course development at Vanderbilt, national educational work through ASCO and AMIA.
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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.