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ELBERS DC, FILLMORE NR, LA J, TOSI HM, AJJARAPU S, DHOND R, MURRAY K, VALLEY D, SHANNON C, BROPHY MT, DO NV. Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE). Stud Health Technol Inform 2024; 310:1131-1135. [PMID: 38269991 PMCID: PMC11166042 DOI: 10.3233/shti231141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
In this manuscript, we outline our developed version of a Learning Health System (LHS) in oncology implemented at the Department of Veterans Affairs (VA). Transferring healthcare into an LHS framework has been one of the spearpoints of VA's Central Office and given the general lack of evidence generated through randomized control clinical trials to guide medical decisions in oncology, this domain is one of the most suitable for this change. We describe our technical solution, which includes a large real-world data repository, a data science and algorithm development framework, and the mechanism by which results are brought back to the clinic and to the patient. Additionally, we propose the need for a bridging framework that requires collaboration between informatics specialists and medical professionals to integrate knowledge generation into the clinical workflow at the point of care.
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Affiliation(s)
- Danne C ELBERS
- VA Boston Healthcare System, Boston MA, USA
- Harvard Medical School, Boston MA, USA
| | - Nathanael R FILLMORE
- VA Boston Healthcare System, Boston MA, USA
- Harvard Medical School, Boston MA, USA
| | | | | | - Samuel AJJARAPU
- VA Boston Healthcare System, Boston MA, USA
- Harvard Medical School, Boston MA, USA
| | - Rupali DHOND
- VA Boston Healthcare System, Boston MA, USA
- Boston University School of Medicine, Boston MA, USA
| | | | | | | | - Mary T BROPHY
- VA Boston Healthcare System, Boston MA, USA
- Boston University School of Medicine, Boston MA, USA
| | - Nhan V DO
- VA Boston Healthcare System, Boston MA, USA
- Boston University School of Medicine, Boston MA, USA
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Elbers DC, Fillmore NR, Sung FC, Ganas SS, Prokhorenkov A, Meyer C, Hall RB, Ajjarapu SJ, Chen DC, Meng F, Grossman RL, Brophy MT, Do NV. The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. PATTERNS 2020; 1:100083. [PMID: 33205130 PMCID: PMC7660389 DOI: 10.1016/j.patter.2020.100083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 06/15/2020] [Accepted: 07/10/2020] [Indexed: 02/06/2023]
Abstract
The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of de-identified data on patients diagnosed with cancer at the Department of Veterans Affairs (VA). Data include longitudinal clinical data from the VA's nationwide electronic health record system and the VA Central Cancer Registry, targeted tumor sequencing data, and medical imaging data including computed tomography (CT) scans and pathology slides. A subset of the repository is available at the Genomic Data Commons (GDC) and The Cancer Imaging Archive (TCIA), and the full repository is available through the Veterans Precision Oncology Data Commons (VPODC). By releasing this de-identified dataset, we aim to advance Veterans' health care through enabling translational research on the Veteran population by a wide variety of researchers.
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Affiliation(s)
- Danne C Elbers
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,University of Vermont, Complex Systems Center, Burlington, VT 05405, USA
| | - Nathanael R Fillmore
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,Harvard Medical School, Boston, MA 02115, USA.,Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Feng-Chi Sung
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA
| | - Spyridon S Ganas
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA
| | - Andrew Prokhorenkov
- University of Chicago, Center for Data Intensive Science, Chicago, IL 60615, USA
| | - Christopher Meyer
- University of Chicago, Center for Data Intensive Science, Chicago, IL 60615, USA
| | - Robert B Hall
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA
| | - Samuel J Ajjarapu
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Daniel C Chen
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,Boston University School of Medicine, Boston, MA 02118, USA
| | - Frank Meng
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,Boston University School of Medicine, Boston, MA 02118, USA
| | - Robert L Grossman
- University of Chicago, Center for Data Intensive Science, Chicago, IL 60615, USA
| | - Mary T Brophy
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,Boston University School of Medicine, Boston, MA 02118, USA
| | - Nhan V Do
- VA Cooperative Studies Program, VA Boston Healthcare System (151MAV), 150 S. Huntington Ave, Jamaica Plain, MA 02130, USA.,Boston University School of Medicine, Boston, MA 02118, USA
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