Research

Case studies

Detailed accounts of programs Dr. Osterman has led - what the problem was, what the team did, what shipped, and what comes next. Each case study cites the underlying peer-reviewed work.

• mCODE

  flagship

  From an open-source oncology data standard to the only method of submitting data to a federal value-based care program. The story of mCODE's launch, governance, and regulatory uptake - and the parallel story of bringing structured genomic data into the EHR at scale.

  Promise of mCODE (JCO CCI 2020) · mCODEGPT (Comm Med 2025)

• Digital Precision Oncology

  2019-2024

  Five-year strategic research collaboration with GE HealthCare on predicting immune checkpoint inhibitor effectiveness and toxicities from real-world EHR data. PI on the flagship study; four peer-reviewed manuscripts and a patent.

  Lippenszky et al. (JCO CCI 2024) · Smith et al. (JCO CCI 2025)

• AI in oncology

  ongoing

  From one of the first peer-reviewed evaluations of ChatGPT in clinical Q&A to a comprehensive review of AI across the cancer care continuum. How clinical AI gets validated, where it actually helps, and why it depends on structured data underneath.

  On the cusp (Med 2023) · AI across the cancer care continuum (Cancer 2025)

Peer-reviewed publications

2025

1. Heng Tan, Travis J. Osterman. SmokeBERT and Beyond: Bridging Clinical Narratives and Structured Smoking Data To Improve Lung Cancer Screening. JCO clinical cancer informatics. doi:10.1200/CCI-25-00350 Dec 22, 2025
2. Shelby A. Crants et al. Clonal Hematopoiesis of Indeterminate Potential After Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. doi:10.1016/j.ijrobp.2025.10.006 Oct 24, 2025
3. Kai Zhang, Tongtong Huang, Bradley A. Malin, Travis Osterman, Qi Long, Xiaoqian Jiang. Introducing mCODEGPT as a zero-shot information extraction from clinical free text data tool for cancer research. Communications Medicine. doi:10.1038/s43856-025-01116-x Oct 15, 2025
4. Irbaz Bin Riaz, Muhammad Ali Khan, Travis J. Osterman. Artificial intelligence across the cancer care continuum. Cancer. doi:10.1002/cncr.70050 Aug 15, 2025
5. Teri A. Manolio et al. Advancing the science of genomic learning healthcare systems. Learning Health Systems. doi:10.1002/lrh2.70027 Jul 23, 2025
6. Elise Russo et al. Vanderbilt Clinical Informatics Center Education Strategy: To Infinity and Beyond!. Applied Clinical Informatics. doi:10.1055/a-2443-8318 Feb 26, 2025
7. David S. Smith et al. Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography. JCO Clinical Cancer Informatics. doi:10.1200/CCI-24-00198 Feb 20, 2025

2024

1. Yanwei Li et al. Minimal Common Oncology Data Elements Genomics Pilot Project: Enhancing Oncology Research Through Electronic Health Record Interoperability at Vanderbilt University Medical Center. JCO Clinical Cancer Informatics. doi:10.1200/CCI.23.00249 Jun 28, 2024
2. Travis J. Osterman, Jiarong Ye. The importance of studying the implementation of cancer data standards. Cancer. doi:10.1002/cncr.35441 Jun 14, 2024
3. Karen M. Huelsman et al. Integrating electronic health records (EHRs) to facilitate cancer biomarker testing: Real-world implementation barriers and solutions.. Journal of Clinical Oncology. doi:10.1200/JCO.2024.42.16_suppl.e13649 May 29, 2024
4. Engineering National Academies of Sciences. Incorporating Integrated Diagnostics into Precision Oncology Care: Proceedings of a Workshop. . doi:10.17226/27744 Apr 17, 2024
5. Levente Lippenszky et al. Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data. JCO Clinical Cancer Informatics. doi:10.1200/CCI.23.00207 Mar 21, 2024

2023

1. Waddah Arafat et al. Clinician Perspectives Regarding the Impact of Information Technology on Multidisciplinary Tumor Boards: A National Comprehensive Cancer Network Survey. JCO Clinical Cancer Informatics. doi:10.1200/CCI.23.00056 Nov 9, 2023
2. Megan M Shuey et al. Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics. Bioinformatics. doi:10.1093/bioinformatics/btad655 Nov 1, 2023
3. Rachel S. Goodman et al. Accuracy and Reliability of Chatbot Responses to Physician Questions. JAMA Network Open. doi:10.1001/jamanetworkopen.2023.36483 Oct 2, 2023
4. Eric M. Lander et al. Identification and Characterization of Avoidable Hospital Admissions in Patients With Lung Cancer. Journal of the National Comprehensive Cancer Network. doi:10.6004/jnccn.2023.7049 Oct 1, 2023
5. Travis J. Osterman, James C. Yao, Monika K. Krzyzanowska. Implementing Innovation: Informatics-Based Technologies to Improve Care Delivery and Clinical Research. American Society of Clinical Oncology Educational Book. doi:10.1200/EDBK_389880 May 22, 2023
6. Protiva Rahman et al. Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records. JAMIA Open. doi:10.1093/jamiaopen/ooad017 Apr 1, 2023
7. Rachel S. Goodman, J. Randall Patrinely, Travis Osterman, Lee Wheless, Douglas B. Johnson. On the cusp: Considering the impact of artificial intelligence language models in healthcare. Med (New York, N.Y.). doi:10.1016/j.medj.2023.02.008 Mar 10, 2023
8. Douglas Johnson et al. Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model (under review). . doi:10.21203/rs.3.rs-2566942/v1 Feb 28, 2023

3+ years

1. Dara E. Mize, Travis J. Osterman. A Unified Approach to Clinical Informatics Education for Undergraduate and Graduate Medical Education. AMIA ... Annual Symposium proceedings. AMIA Symposium (2022).
2. Emily Pei-Ying Lin et al. Associations of influenza vaccination with severity of immune-related adverse events in patients with advanced thoracic cancers on immune checkpoint inhibitors. ERJ open research (2022). doi:10.1183/23120541.00684-2021
3. Chloe Weidenbaum, Christopher G. Cann, Sarah Osmundson, Wade T. Iams, Travis Osterman. Two Uncomplicated Pregnancies on Alectinib in a Woman With Metastatic ALK-Rearranged NSCLC: A Case Report. JTO Clinical and Research Reports (2022). doi:10.1016/j.jtocrr.2022.100361
4. Lucy R. Langer, Amye Tevaarwerk, Robin Zon, Travis Osterman. The Future of Telemedicine in Oncology. Journal of the National Comprehensive Cancer Network (2022). doi:10.6004/jnccn.2022.5020
5. National Cancer Policy Forum, Board on Health Care Services, Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences, Health and Medicine Division, National Academies of Sciences, Engineering, and Medicine. Innovation in Electronic Health Records for Oncology Care, Research, and Surveillance: Proceedings of a Workshop. (2022).
6. Peter D. Stetson et al. Adoption of Patient-Generated Health Data in Oncology: A Report From the NCCN EHR Oncology Advisory Group. Journal of the National Comprehensive Cancer Network (2022). doi:10.6004/jnccn.2021.7088
7. Amye J. Tevaarwerk et al. Oncologist Perspectives on Telemedicine for Patients With Cancer: A National Comprehensive Cancer Network Survey. JCO Oncology Practice (2021). doi:10.1200/OP.21.00195
8. Alex C. Cheng et al. Follow-up Interactive Long-Term Expert Ranking (FILTER): a crowdsourcing platform to adjudicate risk for survivorship care. JAMIA open (2021). doi:10.1093/jamiaopen/ooab090
9. Marilyn E. Holt et al. My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase. JCO Clinical Cancer Informatics (2021). doi:10.1200/CCI.21.00084
10. Neha M. Jain et al. Framework for Implementing and Tracking a Molecular Tumor Board at a National Cancer Institute–Designated Comprehensive Cancer Center. The Oncologist (2021). doi:10.1002/onco.13936
11. Kim L Sandler et al. Women screened for breast cancer are dying from lung cancer: An opportunity to improve lung cancer screening in a mammography population. Journal of Medical Screening (2021). doi:10.1177/09691413211013058
12. Travis J. Osterman, May Terry, Robert S. Miller. Reply to J. Chen et al. JCO Clinical Cancer Informatics (2021). doi:10.1200/CCI.21.00014
13. Neha M. Jain, Alison Culley, Christine M. Micheel, Travis J. Osterman, Mia A. Levy. Learnings From Precision Clinical Trial Matching for Oncology Patients Who Received NGS Testing. JCO Clinical Cancer Informatics (2021). doi:10.1200/CCI.20.00142
14. Neil S. Zheng et al. A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. Journal of Biomedical Informatics (2021). doi:10.1016/j.jbi.2020.103657
15. Travis J. Osterman, May Terry, Robert S. Miller. Improving Cancer Data Interoperability: The Promise of the Minimal Common Oncology Data Elements (mCODE) Initiative. JCO Clinical Cancer Informatics (2020). doi:10.1200/CCI.20.00059
16. Xuanyi Li et al. Seven decades of chemotherapy clinical trials: a pan-cancer social network analysis. Scientific Reports (2020). doi:10.1038/s41598-020-73466-6
17. Jeremy Lyle Warner et al. Trends in FDA cancer registration trial design over time, 1969-2020.. Journal of Clinical Oncology (2020). doi:10.1200/JCO.2020.38.15_suppl.2060
18. Neha M. Jain, Alison Culley, Teresa Knoop, Christine Micheel, Travis Osterman, Mia Levy. Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow. JCO Clinical Cancer Informatics (2019). doi:10.1200/CCI.19.00033
19. Heidi D. Klepin et al. Hypertension and use of bevacizumab among patients treated in community settings.. Journal of Clinical Oncology (2019). doi:10.1200/JCO.2019.37.15_suppl.e18279
20. Neha M Jain, Alison Culley, Travis John Osterman, Mia Alyce Levy. Learnings from a pragmatic study to evaluate benefit of performing reflex clinical trial matching and providing clinical decision support to physicians.. Journal of Clinical Oncology (2019). doi:10.1200/JCO.2019.37.15_suppl.e18006
21. David A. Chambers et al. The Impact of Big Data Research on Practice, Policy, and Cancer Care. American Society of Clinical Oncology Educational Book (2019). doi:10.1200/EDBK_238057
22. Ragisha Gopalakrishnan et al. Impact of the influenza vaccination on cancer patients undergoing therapy with immune checkpoint inhibitors (ICI).. Journal of Clinical Oncology (2018). doi:10.1200/JCO.2018.36.15_suppl.3053
23. Lisa Bastarache et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science (2018). doi:10.1126/science.aal4043
24. Wei-Qi Wei et al. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. PloS One (2017). doi:10.1371/journal.pone.0175508
25. Mia Alyce Levy, Travis John Osterman, Neha Jain, Kathleen F Mittendorf, Christine Micheel. Utility of adding clinical data to a molecular results portal for improving clinical trial prescreening efficiency.. Journal of Clinical Oncology (2017). doi:10.1200/JCO.2017.35.15_suppl.e18182
26. Matthew J. Rioth, Travis J. Osterman, Jeremy L. Warner. Advances in website information resources to aid in clinical practice. American Society of Clinical Oncology educational book / ASCO. American Society of Clinical Oncology. Meeting (2015). doi:10.14694/EdBook_AM.2015.35.e608
27. Junyu Li et al. A software utility for creating interactive maps for 2D gel-based proteomics. Analytical Biochemistry (2004). doi:10.1016/j.ab.2004.03.058

Abstracts

2026

1. Sang Minh Nguyen et al. 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

2025

1. Joseph Vento, Lisa Bastarache, Qingxia M. Chen, Travis Osterman. 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

2024

1. Pablo Napan Molina et al. 1228 Machine learning models can predict efficacy and toxicities using short medical history prior to ICI therapy | Journal for ImmunoTherapy of Cancer. . Nov 5, 2024
2. David Smith et al. 1246 Prediction of pneumonitis in immunotherapy patients from prior thorax CT. Journal for ImmunoTherapy of Cancer. Nov 1, 2024
3. Pablo Napan Molina et al. 1228 Machine learning models can predict efficacy and toxicities using short medical history prior to ICI therapy. Journal for ImmunoTherapy of Cancer. Nov 1, 2024
4. Karen M. Huelsman et al. Integrating electronic health records (EHRs) to facilitate cancer biomarker testing: Real-world implementation barriers and solutions.. Journal of Clinical Oncology. Jun 2024

2023

1. Zoltan Kiss et al. 1294 External validation of machine learning models to predict efficacy and toxicity of immune checkpoint inhibitors using real-world pan cancer cohorts. Journal for ImmunoTherapy of Cancer. Nov 1, 2023
2. Levente Lippenszky et al. 1300 Prediction of efficacy and toxicities of immune checkpoint inhibitors using real-world patient data. Journal for ImmunoTherapy of Cancer. Nov 1, 2023
3. Joseph Vento, Travis Osterman. BIO23-019: Precision Oncology: Integrating Structured Genomic Data Into the Electronic Health Record via the EPIC® Genomics Module. Journal of the National Comprehensive Cancer Network. Mar 31, 2023

3+ years

1. Waddah Arafat et al. Oncologist perspectives on tumor boards: Virtual meetings and EHR integration.. Journal of Clinical Oncology (2022).
2. Alex C. Cheng et al. Oncologist participation in pilot testing a crowdsourcing platform to build a survivorship care risk model.. Journal of Clinical Oncology (2022).
3. Eszter Csernai et al. Rolling window-based hepatitis toxicity prediction from routine bloodwork in patients undergoing immune checkpoint inhibitor therapy.. Journal of Clinical Oncology (2022).
4. Gergely Horváth et al. Predicting immune checkpoint inhibitor-related hepatitis using electronic health records of patients.. Journal of Clinical Oncology (2022).
5. Levente Lippenszky et al. Predicting immune checkpoint inhibitor-related pneumonitis using patient medical information.. Journal of Clinical Oncology (2022).
6. Eric Michael Lander et al. Characterization of avoidable hospital admissions in patients with lung cancer in the immunotherapy and targeted therapy era.. Journal of Clinical Oncology (2022).
7. Neha M Jain, Emma Schremp, Lucy Spalluto, Travis John Osterman, Debra L. Friedman. Incorporating mediation-based interventions at an academic cancer center: A six-step process.. Journal of Clinical Oncology (2022).
8. Neha M Jain, Philip Edward Lammers, Michael R. Savona, Travis John Osterman, Salil Goorha. Using a standard implementation science framework to improve clinical trial enrollment for a community Tennessee oncology center.. Journal of Clinical Oncology (2022).
9. Kathleen F. Mittendorf et al. Overcoming barriers in academic-industry partnerships to improve predictive modeling in immuno-oncology.. Journal of Clinical Oncology (2022).
10. Brian Yoon, Dilhan Weeraratne, Yull Edwin Arriaga, Hu Huang, Travis John Osterman. Evaluating health disparities in access to genomic testing for metastatic non-small cell lung cancer patients. | Journal of Clinical Oncology. (2021).
11. Amye Tevaarwerk et al. BIO21-011: Oncology Provider Perspectives on Telemedicine for Patients With Cancer: A National Comprehensive Cancer Network (NCCN®) Survey. Journal of the National Comprehensive Cancer Network (2021).
12. Taneya Y. Koonce et al. The Personalization of Evidence: Using Intelligent Datasets to Inform the Process. Amia Annual Symposium (2020).
13. Jeremy Lyle Warner et al. Trends in FDA cancer registration trial design over time, 1969-2020.. Journal of Clinical Oncology (2020).
14. Riqiang Gao et al. Lung cancer detection using co-learning from chest CT images and clinical demographics. (2019).
15. Carolyn C. Scott, Alexis B. Paulson, Travis J. Osterman, Kim L. Sandler. Lung and Breast Screening Practices in Women: Targeting Providers to Improve Enrollment in a Clinical Lung Screening Program. C30. LUNG CANCER SCREENING: WHO, WHY, WHERE, AND HOW MUCH (2017).
16. Travis J. Osterman. EHR-Wide GxE Study using Smoking Information Extracted from Clinical Notes. (2016).
17. Travis J. Osterman, Wei-Qi Wei, Dara Mize, Joshua C. Denny. Using a gene-environment interaction study to evaluate risk for lung cancer (abstract 1524). American Society of Clinical Oncology Annual Meeting (2016).
18. Travis J. Osterman, Wei-Qi Wei, Joshua C. Denny. Quantifying Tobacco Exposure using clinical Notes and Natural language processing to enable lung cancer screening. International Association for the Study of Lung Cancer Targeted Therapeutics Meeting (poster) (2016).
19. Travis J. Osterman. Quantifying Tobacco Exposure Using Clinical Notes and Natural Language Processing to Enable Lung Cancer Screening. (2015).

Patents

1. Jan Wolber, Eszter Katalin Csernai, Zoltán Kiss, Levente Lippenszky, Gergely Horváth, Travis Osterman, Ben Ho Park, David Samuel Smith, Daniel Fabbri, Michele LeNoue-Newton, Kathleen Mittendorf. Model generation apparatus for therapeutic prediction and associated methods and models (2025).

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