Press
Press kit and press coverage for journalists, event organizers, and researchers. Bios and headshots are cleared for verbatim use; the coverage list is auto-updated from the same source-of-truth library that drives the rest of the site.
Bios
Short
Dr. Travis Osterman is a practicing medical oncologist and informatician at Vanderbilt University Medical Center, where he serves as Associate Vice President for Research Informatics. He chairs the minimal Common Oncology Data Elements (mCODE™) Executive Committee, an international cancer data standard implemented at more than 70 institutions across six countries and the only method of submitting data to CMS' Enhancing Oncology Model. He is board certified in internal medicine, medical oncology, and clinical informatics.
Medium
Dr. Travis Osterman is a practicing medical oncologist and informatician, Associate Vice President for Research Informatics at Vanderbilt University Medical Center, and Director of Cancer Clinical Informatics at the Vanderbilt-Ingram Cancer Center. He is board certified in internal medicine, medical oncology, and clinical informatics.
At Vanderbilt, Dr. Osterman leads the Clinical Genomics Workstream and has led the effort to make structured genomic data more accessible for patient care and research; under his leadership, Vanderbilt's electronic health record contains more structured genomic data than any other institution in the United States.
Nationally, Dr. Osterman chairs the minimal Common Oncology Data Elements (mCODE™) Executive Committee. mCODE is implemented at more than 70 institutions across six countries and serves as the only method of submitting data to CMS' Enhancing Oncology Model. He advises Microsoft, Epic, Tempus AI, and the National Comprehensive Cancer Network, and founded the Epic Beacon Community Operations Group.
Long
The full bio, including origin and career arc, lives at /about/. For a downloadable version, request via the contact form.
Headshots
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Key facts
- Name & post-nominals: Travis Osterman, DO, MS, FAMIA, FASCO
- Roles: Associate Vice President for Research Informatics, Vanderbilt University Medical Center; Director of Cancer Clinical Informatics, Vanderbilt-Ingram Cancer Center; Chair, ASCO mCODE Executive Committee
- Board certifications: Internal Medicine (ABIM, 2015); Medical Oncology (ABIM, 2016); Clinical Informatics (ABPM, 2016)
- Fellowships: American Society of Clinical Oncology (FASCO, 2023); American Medical Informatics Association (FAMIA, 2019)
- mCODE scale: more than 70 institutions across six countries; only method of submitting data to CMS' Enhancing Oncology Model
- Vanderbilt genomic data: more structured genomic data in the electronic health record than any other institution in the United States
- Disclosures: ASCO COI; CMS Open Payments
Topics most frequently covered
- The mCODE oncology data standard and its role in CMS' Enhancing Oncology Model
- Structured genomic data integration into the electronic health record
- Artificial intelligence in oncology - efficacy and toxicity prediction
- Interoperability and EHR governance for cancer care
- Clinical informatics education for medical students and residents
- Lung cancer screening and real-world data
Now
Recent activity across publications, invited talks, scientific meetings, and press - auto-generated from the same source-of-truth library that drives /research/ and /speaking/. Last updated: .
Recent activity (last 12 months)
- Invited talk HL7 International Working Group Meeting (Europe): "mCODE Overview and Current State". May 18, 2026
- Invited talk Vanderbilt Lecture Series CME (Nashville, Tennessee): "Using AI in Clinical Practice: Current Trends and Emerging Federal Regulations". May 7, 2026
- Abstract Abstract LB385: Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia. Cancer Research. Apr 17, 2026
- Invited talk 2026 NCCN Annual Conference (Orlando, Florida): "Harnessing Artificial Intelligence to Improve Oncology Care". Mar 28, 2026
- Invited talk NASEM Workshop: Policy Issues for Integrating Artificial Intelligence in Cancer Research and Care (Washington, DC): "AI in Cancer Care: 2 Wins, 2 Current Challenges". Mar 9, 2026
- Invited talk Jackson-Madison County General Hospital (Jackson, Tennessee): "An Update on the Use of AI in Clinical Practice". Mar 6, 2026
- Invited talk Blanchfield Army Community Hospital (Fort Campbell, Kentucky (virtual)): "Using AI in Clinical Practice: Current Trends and Emerging Federal Regulations". Feb 10, 2026
- Peer-reviewed publication SmokeBERT and Beyond: Bridging Clinical Narratives and Structured Smoking Data To Improve Lung Cancer Screening. JCO clinical cancer informatics. Dec 22, 2025
- Invited talk "Leveraging Data to Day-to-Day Improvements". Oct 31, 2025
- Peer-reviewed publication Clonal Hematopoiesis of Indeterminate Potential After Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. Oct 24, 2025
- Peer-reviewed publication Introducing mCODEGPT as a zero-shot information extraction from clinical free text data tool for cancer research. Communications Medicine. Oct 15, 2025
- Patent Model generation apparatus for therapeutic prediction and associated methods and models. Sep 18, 2025
- Scientific meeting presentation The Evolving Artificial Intelligence Landscape in Cancer Care: "AI and the Cancer Journey: Navigating New Frontiers in Policy and Technology". Sep 9, 2025
- Peer-reviewed publication Artificial intelligence across the cancer care continuum. Cancer. Aug 15, 2025
- Peer-reviewed publication Advancing the science of genomic learning healthcare systems. Learning Health Systems. Jul 23, 2025
- Scientific meeting presentation NCCN Annual Congress (Virtual): "Improving Clinical Trial Accrual: Doing More with Less". Jun 15, 2025
- Abstract Real-world side effects of targeted therapies: High-throughput association studies leveraging the CancerLinq Discovery lung cancer database.. Journal of Clinical Oncology. May 28, 2025
In the news
External coverage by independent publications. 23 items. Last updated: .
2024
- AI could predict whether cancer treatments will work, experts say | Fox News . Apr 23, 2024
- How mCODE is Driving EHR Interoperability for Cancer Research | TechTarget · Health IT and EHR. Jan 17, 2024
2023
- GE Healthcare, Vanderbilt Explore Use of AI to Predict Immunotherapy Toxicity, Efficacy · Precision Medicine Online. Nov 27, 2023
- Three Vanderbilt physicians named ASCO fellows . Jun 21, 2023
- Discoveries in Medicine - Genomic Data Advances Precision Oncology · Discoveries in Medicine. Feb 22, 2023
- Vanderbilt-Ingram Cancer Center Participating in ASCO’s CancerLinQ · Healthcare Innovation. Feb 21, 2023
3+ years
- Vanderbilt Sees Downstream Benefits From Integrating Genomic Results Into EHR · Healthcare Innovation. Sep 1, 2022
- Targeted cancer drug during pregnancy · Vanderbilt University. Aug 2, 2022
- Microsoft Investigator Fellow Dr. Travis Osterman uses Azure to support lung cancer treatment protocols · Microsoft Customers Stories. Jul 23, 2021
- DBMI Digest, Volume 1 . Mar 5, 2021
- Vanderbilt Preparing to Implement Epic Genomics Module · Healthcare Innovation. Mar 4, 2021
- Molecular Automation · VICC Momentum. Mar 1, 2021
- Process ensures follow-up of incidental radiology findings · VUMC News. Feb 4, 2021
- VUMC’s Osterman awarded Microsoft Investigator Fellowship · VUMC News. Nov 7, 2019
- CancerLinQ®: Current Achievements and Future Opportunities · ASCO Daily News. Apr 24, 2019
- The immunotherapy hurdle – and why doctors could soon predict how each patient will respond . Apr 9, 2019
- "ASCO Annual Meeting Trainee & Early-Career Oncologist Member Lounge Preview" · ASCO Daily News. Feb 14, 2019
- Sandler, Osterman Awarded $50,000 VICC Ambassadors Grant | Department of Radiology · VUMC Reporter. Feb 7, 2019
- GE and VUMC partner to make cancer immunotherapy safer and more precise · dotmed.com. Jan 8, 2019
- One year after Go Live, focus remains on advancing eStar · VUMC Reporter. Nov 15, 2018
- "How to Improve Your Practice Using ASCO University® Resources" · ASCO Daily News. Jun 2, 2018
- Machine Learning Model Could Help Predict Risk-Benefit of Immune Checkpoint Inhibitors · ASCO Daily News.
- Podcast: New Machine Learning Framework Uses EHR Data to Assess ICI Effectiveness, Toxicity · ASCO Daily News.
Press contact
Interview requests, quotes, and other press inquiries: please use the contact form with subject line beginning "Press". For event organizers and speaking inquiries, see /speaking/ and WSOR, LLC.