Expertise

Six domains in which Dr. Osterman publishes, presents, and leads. Each section below pairs his role and recent contributions with the named programs behind them; the full peer-reviewed record is on /research/.

Cancer data standards (mCODE™)

Dr. Osterman chairs the executive committee of the minimal Common Oncology Data Elements (mCODE™) standard. mCODE is the FHIR-based data model that defines a minimum interoperable record for cancer care. It is implemented at more than 70 institutions across six countries, and is the only method of submitting data to the CMS Enhancing Oncology Model - making mCODE the regulatory bridge between EHR-resident cancer data and federal value-based care programs.

Clinical genomics in the EHR

Under Dr. Osterman's leadership, Vanderbilt Health has more structured genomic data in its electronic health record than any other institution in the United States. The work spans the Epic Genomics Module rollout, the Epic AURA reference-lab integration, and the governance + partnership framework that supports research collaborations with Tempus AI, nference, GE HealthCare, and Microsoft on top of that structured-data foundation.

AI in oncology - efficacy and toxicity prediction

Multi-year program building machine-learning models that predict immune checkpoint inhibitor effectiveness and toxicities from routine real-world patient data. PI on the GE HealthCare Digital Precision Oncology study (JCO CCI 2024); co-authored work on radiomic / CT-based pneumonitis prediction; ongoing models for ICI-induced hepatitis and colitis prediction.

Precision oncology implementation

Dr. Osterman led the Vanderbilt-Ingram Cancer Center's clinical implementation of structured molecular results into point-of-care decision support - including the OKRA (Oncology Knowledge Rapid Alerts) NCI R21 grant, integration of the MyCancerGenome knowledge base into the EHR, and the molecular tumor board governance framework. The work spans trial matching, biomarker-driven therapy selection, and structured staging at scale.

Clinical informatics education

Creator and Director of the Clinical Informatics Integrated Science Curriculum for medical students at Vanderbilt and the Graduate Medical Education Clinical Informatics Elective Rotation - both 2020 to present. With Dr. Dara E. Mize, Dr. Osterman designed a unified approach to clinical informatics education spanning undergraduate and graduate medical education (Mize & Osterman, AMIA Annu Symp Proc, 2022) - one curricular spine that meets learners at each stage of training rather than treating the two programs as separate silos. The model is now part of the Vanderbilt Clinical Informatics Center's broader education strategy (Russo, McCoy, Mize, Osterman et al., Appl Clin Inform, 2025). National educational work runs through ASCO's annual meeting program committee and AMIA.

Lung cancer screening and real-world data

Author of SHAPES (Smoking History and Pack-Year Extraction System), a natural-language-processing pipeline that extracts granular smoking history from unstructured clinical notes to enable lung cancer screening eligibility determination at scale. The work won the 2016 Conquer Cancer Foundation Young Investigator Award and continues to power downstream lung-cancer-screening implementation research at Vanderbilt-Ingram.