The National Center for Collaborative Healthcare Innovation

The National Center for Collaborative Healthcare Innovation (NCCHI) leads collaborations to solve the greatest health care challenges facing Veterans. Located in Silicon Valley, NCCHI collaborates broadly with industry, other government agencies, academia, and throughout VA to create far-reaching positive impact for our Veterans with cutting-edge technologies.

Virtual Reality Care in Action

Our Work

Project Convergence

Augmented Reality and 5G

Project Convergence brings “science fiction to life” through its cutting-edge 5G and augmented reality program.




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Project Convergence

Fall Prevention Projects

In 2015 the cost of fatal and non-fatal falls in the US was approximately $50 billion— and since falls disproportionally impact older adults, it is a particularly important issue for VA to address.

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Smart White Cane for the Blind

Safe and independent navigation is one of the biggest challenges for those who are blind or visually impaired. The traditional ‘white cane’ for the blind has not significantly changed since its inception – until now.

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COVID Operational Readiness

During the onset of the COVID-19 pandemic, front-line clinical teams in many parts of the world were overwhelmed, overworked, and understaffed.


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Project Convergence

AI with DeepMind

In collaboration with Google DeepMind and Google Health, we are studying the clinical applications of machine-learning. The initial work with VA data demonstrated that a Google machine learning algorithm can predict acute kidney injury up to two days before normally detected.

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XPRIZE Alliance to Combat COVID-19

Our NCCHI partnership with the XPRIZE Foundation is bringing leading VA innovators next to partners from around the world to develop new ways of combatting COVID-19.



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Project Convergence

Innovative Treatments for ALS and Prostate Cancer

NCCHI has partnered with the U.S Department of Energy, Lawrence Livermore National Laboratory (LLNL) in the fight against ALS and prostate cancer, two diseases that have devastating effects on Veteran populations.

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Augmented Reality Microscope

The Augmented Reality Microscope (ARM) is an advanced artificial intelligence and augmented reality— enabled system that is currently programmed to detect prostate and breast cancer on pathology slides as a clinical decision support tool.

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Learn more about NCCHI’s Innovative Work

NCCHI National Awards

Journal Article Publications

Magid HSA, Ferguson JM, Purnell AL, Osborne TF. Differences in COVID-19 Risk by Race and County-Level Social Determinants of Health Among Veterans. International Journal of Environmental Research and Public Health (IJERPH). Dec. 4, 2021. Part of ISSN: 1660-4601. DOI: 10.3390/ijerph182413140

Rawlins C, Veigulis ZP, Hebert C, Curtin CM, Osborne TF. Effect of Immersive Virtual Reality on Pain and Anxiety at a Veterans Affairs Health Care Facility. Fronters in VR. Oct. 5, 2021. Part of ISSN: 2673-4192. DOI: 10.3389/frvir.2021.719681

Soerensen SJC, Thomas IC, Schmidt B [...] Osborne TF, Chertow GM, Brooks JD, Rehkopf D, Leppert JT. Using an Automated Electronic Health Record Score to Estimate Life Expectancy in Men Diagnosed with Prostate Cancer in The Veterans Health Administration. Urology. June 2021 Part of ISSN: 0090-4295. DOI: 10.1016/j.urology.2021.05.056

Vilson F, Zhang B, Brooks J, Osborne TF, Ray P, Leppert J. PSA variability and the diagnosis of clinically significant prostate cancer. 2021 Annual Meeting of the American Urological Association to be held in Las Vegas, NV, September 10-13. Abstract accepted May 3, 2021. Abstract ID: 21-9705

Mahajan SM, Mahajan A, Nguyen C, Bui J, Abbott BT, Osborne TF. Risk factors for readmissions after total joint replacement: A meta-analysis. Journal of Bone and Joint Surgery Reviews. June 2021. ISSN: 2329-9185 DOI: 10.2106/JBJS.RVW.20.00122

Tomašev N, Harris N, [...], Osborne TF, Reeves R, Hassabis D, King D, Suleyman M, Back T, Nielson C, Seneviratne MG, Ledsam JR, Mohamed S. Use of deep learning to develop continuous risk models for adverse event prediction from electronic health records. Nature Protocols. May 5, 2021. DOI: 10.1038/s41596-021-00513-5

Ferguson JM, Justice AC, Osborne TF, Magid HAS, Purnell AL, Rentsch CT. Racial and ethnic disparities for SARS-CoV-2 positivity in the United States: a generalizing pandemic. medRxiv preprint May 2, 2021 DOI: DOI: 10.1101/2021.04.27.21256215

Ioannou GN, Green P Fan VS […], Osborne TF, Ioannou NG, Berry K. Development of a model (COVIDVax) estimating risk of SARS-CoV-2-related death among 7.6 million US Veterans for use in vaccination prioritization. JAMA Networks Open. Apr 8, 2021. DOI:10.1001/jamanetworkopen.2021.4347

Ferguson JM, Magid HSA, Purnell AL, Kiang MV, Osborne TF. Differences in COVID-19 Testing and Test Positivity Among Veterans, United States, 2020. Public Health Reports. Apr 7, 2021. DOI: org/10.1177/00333549211009498

Osborne, TF, Veigulis ZP, Arreola, DM, Mahajan S, Röösli E, Curtin, CM. Association of mortality and aspirin prescription for COVID-19 patients at the Veterans Health Administration. PLoS ONE 2021 Feb 11. DOI: 10.1371/journal.pone.0246825

Osborne, TF, Veigulis, ZP, Arreola, D, Mahajan, S, Röösli, E, Curtin, CM Association of Mortality and Aspirin Prescription for COVID-19 Patients at the Veterans Health Administration. medRxiv preprint 14 Dec 2020. DOI: 10.1101/2020.12.13.20248147

Pettit J, Nguyen S, Cadena J, Ng B, Reimer R, Osborne TF, Gryshuk A, Priyadip R Machine Learning Models for Identifying Risk Factors and Prediction of ALS Progression. 31st International Symposium on ALS/MND December 9-11, 2020. Live abstract poster Dec 9 2020. EPI-05 Video released by LLNL with IM release number: LLNL-VIDEO-816864.

D’Amour A, Heller K, Moldovan, D [...], Hou S, Mincu D, Nielson C, Osborne TF, Schrouff J, Seneviratne MG, Sculley D. Underspecification Presents Challenges for Credibility in Modern Machine Learning. arXiv preprint arXiv:2011.03395. 2020 Nov 6. arXiv:2011.03395v1

Osborne TF, Veigulis ZP, Arreola DM, Röösli E, Curtin CM. Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs. PLoS ONE 2020 July 27; 15(7):e0236554. Part of ISSN: 1932-6203. DOI: 10.1371/journal.pone.0236554

Osborne TF, Suarez P, Edwards D, Hernandez-Boussard T, Curtin C. Patient Electronic Health Records Score for Preoperative Risk Assessment Before Total Knee Arthroplasty. Journal of Bone and Joint Surgery. 2020 Apr 1;5(2):e0061. Part of ISSN: 2472-7245. DOI: 10.2106/JBJS.OA.19.00061

Mahajan SM, Mahajan A, Nguyen C, Bui J, Abbott BT, Osborne TF. Predictive models for identifying risk of readmission after index hospitalization for hip arthroplasty: A systematic review. Journal of Orthopaedics. 2020 Apr 1. Part of ISSN: 0972-978X. DOI: 10.1016/j.jor.2020.03.045

Scott GD, Osborne TF, Gross S, Fong D. Value-based intervention with hospital and pathology laboratory informatics: a case of analytics and outreach at the Veterans Affairs. Journal of Pathology Informatics. 2020

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Dr. Thomas Osborne, Director for NCCHI

“This is a critically important time in medical history. The work we do at VA has the potential for broad positive impact that will not only dramatically benefit our Veterans, but also the world. As a result, we have both the opportunity and responsibility to be leaders in health care innovation.”