100+ datasets found
  1. Corporate Data Warehouse (CDW)

    • catalog.data.gov
    • data.va.gov
    • +3more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). Corporate Data Warehouse (CDW) [Dataset]. https://catalog.data.gov/dataset/corporate-data-warehouse-cdw
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The Veterans Health Administration (VHA) is increasingly dependent upon data. Most of its employees generate and use vast amounts of data on a daily basis. To improve our capacity for data analysis while providing the most efficient and the highest quality health care to our Veteran patients, VHA, working with the VA Office of Information and Technology, implemented a health data warehouse. Central to this plan is consolidating data from disparate sources into a coherent single logical data model. The Corporate Data Warehouse (CDW) is the physical implementation of this logical data model at the enterprise level for VHA. Although the CDW initially began to store data as early as 2006, a renewed effort began in 2010 to accelerate CDW's content by including more subject areas from Veterans Health Information Systems and Technology Architecture (VistA) and content from other existing national data systems. CDW supports fully developed subject areas in its production environment as well as supporting rapid prototyping by extracting data directly from source systems with very minor data transformations. The Regional Data Warehouses and the Veterans Integrated Service Network (VISN) Data Warehouses share content from CDW and allow for greater reporting flexibility at the local level throughout the VHA organization.

  2. Converged Registries Solution (CRS)

    • catalog.data.gov
    • datahub.va.gov
    • +2more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). Converged Registries Solution (CRS) [Dataset]. https://catalog.data.gov/dataset/converged-registries-solution-crs
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The Converged Registries Solution (CRS) has been replaced by the Veterans Integrated Registries Platform (VIRP). The information contained in this entry discusses the CRS prior to its replacement. The Converged Registries platform was a hardware and software architecture designed to host individual patient registries and eliminate duplicative development effort while maximizing VAs ability to create new patient registries. The common platform included a relational database, software classes, security modules, extraction services and other components. The Converged Registries obtained data from the Corporate Data Warehouse (CDW), directly from the Veterans Health Information Systems and Technology Architecture (VistA) as well as by direct user input. Registries Projects - Embedded Fragment Registry (EFR), Eye Injury Data Store, Traumatic Brain Injury (TBI) Registry and Veterans Implant Tracking and Alert System (VITAS).

  3. f

    Data sources and definitions for homelessness from the VA medical record.

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
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    Jack Tsai; Dorota Szymkowiak; Eric Jutkowitz (2023). Data sources and definitions for homelessness from the VA medical record. [Dataset]. http://doi.org/10.1371/journal.pone.0279973.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jack Tsai; Dorota Szymkowiak; Eric Jutkowitz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data sources and definitions for homelessness from the VA medical record.

  4. T

    Performance and Operational Web-Enabled Reports (POWER)

    • data.va.gov
    • datahub.va.gov
    • +1more
    application/rdfxml +5
    Updated Sep 12, 2019
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    (2019). Performance and Operational Web-Enabled Reports (POWER) [Dataset]. https://www.data.va.gov/w/6stm-bwji/default?cur=3Mxs3gdKmbp
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    json, csv, application/rdfxml, tsv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    The Performance and Operational Web-Enabled Reports (POWER) system is a state-of-the-art data warehouse containing data on Veterans Health Administration (VHA) performance metrics that are obtained daily from the individual Veterans Health Information Systems and Technology Architecture (VistA) systems.The POWER system was developed to measure the key performance indicators across VHA facilities and is helping to improve VHA's Medical Care Collections Fund (MCCF) revenue operational performance by providing accurate, reliable, and up-to-date performance measure information. POWER leverages a data warehouse to maintain data used in VHA performance measure calculations. The site provides Web-based analytical reporting capabilities, allowing users to view data by dimensions, such as, National, Consolidated Patient Account Center (CPAC), Veterans Integrated Service Network (VISN), or Station locations and by month. The data can also be displayed in tables, graphs and spreadsheets. It should be noted that POWER is not an accounting system; rather, it is a strategic and operational performance reporting system.The POWER system supports VHA's efforts to improve its revenue business operations by providing accurate and reliable performance information on the following metrics: Collections, Gross Days Revenue Outstanding (GDRO), Percentage of Accounts Receivable (AR) Greater than 90 Days, Days to Bill, Total Billings, Percentage of Collections to Billings, and Cost to Collect. POWER is VHA's revenue performance metric dashboard monitoring system that tracks MCCF performance by National, CPAC, VISN and Station.

  5. f

    Historical community care expenditures (FY2017-2022).

    • plos.figshare.com
    xls
    Updated Jan 13, 2025
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    Victoria A. Bensel; Kelsey Corcoran; Anthony J. Lisi (2025). Historical community care expenditures (FY2017-2022). [Dataset]. http://doi.org/10.1371/journal.pone.0316924.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Victoria A. Bensel; Kelsey Corcoran; Anthony J. Lisi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Historical community care expenditures (FY2017-2022).

  6. Baseline characteristics of stone formers with and without a 24-hour urine...

    • plos.figshare.com
    xls
    Updated Jun 20, 2023
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    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao (2023). Baseline characteristics of stone formers with and without a 24-hour urine collection in the top and bottom decile of VHA facilities that administer 24-hour urine testing. [Dataset]. http://doi.org/10.1371/journal.pone.0220768.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Baseline characteristics of stone formers with and without a 24-hour urine collection in the top and bottom decile of VHA facilities that administer 24-hour urine testing.

  7. f

    Multivariable logistic regression reporting the odds of completing a 24-hour...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao (2023). Multivariable logistic regression reporting the odds of completing a 24-hour urine collection. [Dataset]. http://doi.org/10.1371/journal.pone.0220768.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariable logistic regression reporting the odds of completing a 24-hour urine collection.

  8. T

    National Prosthetic Patient Database (NPPD (Prosthetics & Sensory Aids...

    • datahub.va.gov
    • data.va.gov
    • +4more
    application/rdfxml +5
    Updated Sep 12, 2019
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    (2019). National Prosthetic Patient Database (NPPD (Prosthetics & Sensory Aids Service)) [Dataset]. https://www.datahub.va.gov/w/46q6-zer4/default?cur=GmZ360a42Zn
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    csv, json, xml, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    The National Prosthetics Patient Database (NPPD) established a central database of Prosthetics data recorded at each Veterans Health Administration facility. Its objective was to enable clinical reviews to increase quality, reduce costs, and improve efficiency of the Prosthetics program. Increase the quality of the services to our Veterans by providing a means to develop consistency in services, review prescription and management practices, develop training, monitor Home Medical Equipment, and measure performance improvements. Reduce costs by comparing costs system-wide, identifying common items for consolidated contracting, identifying costs for Medical Cost Care Funds (MCCF) purposes and improving contracting cost benefit. Improve efficiency by validating the data, improving budget management, determining where coding errors occur, providing training, and comparing unique social security numbers for multiple site usage and item issue. The NPPD Menu provides patient information, patient eligibility, Prosthetic treatment, date of provision, cost, vendor, and purchasing agent information. This system tracks average cost data and its usage and provides on both a monthly and quarterly basis detailed and summary reports by station, Veterans Integrated Service Network (VISN) and agency. The NPPD Menu resides in Veterans Health Information Systems and Technology Architecture (VistA) at the medical center level. This data is updated quarterly. Data is rolled up at each facility and transmitted to Hines. The data is then loaded into the Corporate Data Warehouse (CDW) from which data extracts are done. The data is also put into a ProClarity cube and is available to VA local, regional, and national managers online. National managers have the ability to properly monitor, oversee and manage the national program and regional managers are able to effectively manage their respective areas using this tool. The primary purpose of this database is to provide financial and clinical oversight of the Prosthetics program and is used primarily by the Prosthetics and Sensory Aids (PSA) including VISN staff, VISN Prosthetics Representatives, Prosthetics Program Managers and other Prosthetics staff.

  9. f

    Nephrology and urology clinic visit codes.

    • figshare.com
    xls
    Updated Jun 4, 2023
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    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao (2023). Nephrology and urology clinic visit codes. [Dataset]. http://doi.org/10.1371/journal.pone.0220768.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Nephrology and urology clinic visit codes.

  10. T

    Dept of Veterans Affairs Expenditures by FY and Object Class

    • data.iowa.gov
    • mydata.iowa.gov
    application/rdfxml +5
    Updated Sep 10, 2025
    + more versions
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    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse (2025). Dept of Veterans Affairs Expenditures by FY and Object Class [Dataset]. https://data.iowa.gov/w/qcau-33k8/9c2r-rgb3?cur=MkqkvpWa910
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    csv, json, tsv, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Sep 10, 2025
    Dataset authored and provided by
    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset provides summarized data for all expenditures from July 2003 through the current fiscal year, year to date, from the State's central accounting system. The state fiscal year runs from July 1 to the following June 30 and is numbered for the calendar year in which it ends. The State of Iowa operates on a modified accrual basis which provides that encumbrances on June 30 must be paid within 60 days after year end. The expenditures are summarized by Fiscal Year, Month, Fund, Appropriation, Department, Unit, and Object Class.

  11. Storage

    • catalog.data.gov
    • data.va.gov
    • +3more
    Updated Nov 10, 2020
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    Department of Veterans Affairs (2020). Storage [Dataset]. https://catalog.data.gov/dataset/storage
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    DAS stores structured and non-structured data from internal and external sources.

  12. Baseline characteristics of stone formers with and without a 24-hour urine...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao (2023). Baseline characteristics of stone formers with and without a 24-hour urine collection. [Dataset]. http://doi.org/10.1371/journal.pone.0220768.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Baseline characteristics of stone formers with and without a 24-hour urine collection.

  13. U

    Latent tuberculosis infection and risk of type 2 diabetes mellitus in US...

    • dataverse-staging.rdmc.unc.edu
    pdf
    Updated Aug 25, 2023
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    MATTHEW JAMES MAGEE; MATTHEW JAMES MAGEE (2023). Latent tuberculosis infection and risk of type 2 diabetes mellitus in US veterans [Dataset]. http://doi.org/10.15139/S3/OPMCID
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    pdf(47885)Available download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    UNC Dataverse
    Authors
    MATTHEW JAMES MAGEE; MATTHEW JAMES MAGEE
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2018 - 2021
    Area covered
    United States
    Dataset funded by
    National Institutes of Health
    Description

    Low- and middle-income countries are projected to have substantial increases in incidence of type 2 diabetes mellitus, the same regions where tuberculosis (TB) is endemic and a public health priority. Diabetes increases the risk of TB disease by three times and an estimated 15% of incident TB cases are due to diabetes, similar to the proportion of TB cases attributable to HIV. In the context of increasing rates of co-occurring TB and diabetes, prevention efforts to reduce the burden of dual disease are severely limited by critical gaps in knowledge of the relationship between latent TB infection and risk of diabetes mellitus. The specific aims of this proposal are to: (1) determine the extent to which latent TB infection (measured by interferon-gamma release assay [IGRA]) increases the risk of incident type 2 diabetes mellitus; (2) determine if latent TB increases the risk of progression from normal blood glucose to pre-diabetes; and (3) determine the extent to which latent TB treatment decreases the risk of incident type 2 diabetes among patients with latent TB infection. The aims of this project will be achieved by building a large database of patients with known latent TB infection status who are at risk of developing diabetes. The study will use longitudinal data from the Veterans Affairs Corporate Data Warehouse from 2000-2015 to build a retrospective cohort of more than 100,000 patients. The analysis will include multiple modeling strategies and propensity scores to assess the relationship between latent TB infection and rate of incident diabetes. This research has the potential to have far-reaching implications for biomedical approaches to diabetes prevention and TB control. The proposed study includes an unprecedented hypothesis that challenges current assumptions and the paradigm that the observed association between active TB and diabetes is singularly due to increased susceptibility to TB among patients with diabetes. Existing epidemiologic data demonstrate a higher prevalence of diabetes in patients with active TB compared to the background population prevalence of diabetes. However, it is unknown if the increased prevalence of diabetes among patients with active TB is due to diabetes impacting 1) risk of latent infection, 2) risk of reactivation from latent TB to active disease, 3) risk for primary progression from Mycobacterium tuberculosis exposure to active TB disease, 4) or alternatively, if TB infection or disease impacts the risk of diabetes incidence. The proposed study will help to clarify TB-diabetes pathways and will generate preliminary data useful to deconstruct the pathways which lead to increased diabetes prevalence among patients with active TB. The long term goal of the proposed work is to prepare for a prospective study to examine the relationship between TB infection and risk of diabetes and ultimately better characterize the effect of immune activity related to TB infection on metabolic function.

  14. DVA – Omaha Veterans Affairs Ambulatory Center – Nebraska

    • store.globaldata.com
    Updated May 22, 2018
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    GlobalData UK Ltd. (2018). DVA – Omaha Veterans Affairs Ambulatory Center – Nebraska [Dataset]. https://store.globaldata.com/report/dva-omaha-veterans-affairs-ambulatory-center-nebraska/
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    Dataset updated
    May 22, 2018
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2018 - 2022
    Area covered
    Nebraska, Omaha, Center, North America
    Description

    U.S. Department of Veterans Affairs (DVA) and Heritage Services are undertaking the construction of a VA Medical Center Replacement project in Nebraska, the US.The project involves the replacement of an existing VA Medical Center involving the construction of a 14,585m2 new six-story building with 108 beds and space for 400 additional outpatients on 9.3ha of land.It includes the construction of diagnostic and treatment areas, clinics, research areas, a central energy plant, women’s healthcare facility, mental healthcare facility and 1,800 parking spaces and the installation of elevators, safety and security systems.KPE Engineering and Architecture has been appointed as HVAC consultant.In 2007, DVA conducted a feasibility study to replace the Omaha hospital.On April 20, 2011, Leo A Daly and NBBJ Design LLP were appointed as architects and Booz Allen Hamilton as cost consultant.In November 2011, DVA committed to provide US$56 million for the development of the project.Heritage Services, an NGO also partnering and committed to raise US$30 million for the project through donations.On April 26, 2017, the project secured US$30 million funds from a nonprofit corporation.As of January 2018, Environmental Impact Assessment was completed on the project.Construction activities were commenced on the project in May 2018.Construction activities are underway and anticipated for completion by the third quarter of 2020. Read More

  15. VA National Clozapine Registry

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • datahub.va.gov
    • +5more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). VA National Clozapine Registry [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/va-national-clozapine-registry
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The VA National Clozapine Registry tracks the health and demographics of patients who have been prescribed clozapine by the VA. Clozapine, or the brand name Clozaril, is a drug used to treat the most serious cases of schizophrenia. Unfortunately, clozapine may also affect portions of the blood, lowering the body's resistance to infection and sometimes creating life-threatening circumstances. Realizing the severity of the problem, the Food and Drug Administration (FDA) established guidelines for analysis of White Blood Cells and Neutrophils and set strict minimum limits. The FDA also mandated that any manufacturer of clozapine must maintain a Clozapine Registry. These registries are to track the location and the health of clozapine patients and to ensure 'weekly White Blood Cell testing prior to delivery of the next week's supply of medication'. To date, the clozapine manufacturer registries have been unable to develop sufficient controls to meet these requirements, especially the ability to prevent dispensing clozapine when blood results are abnormal. However, because of the unique structure of Veterans Health Information Systems and Technology Architecture, the Veterans Health Administration obtained permission from the FDA and clozapine manufacturers to use its in-place computer network to gather and evaluate weekly patient information, then export this data to manufacturer clozapine registries. The VA assigned functional administration of this effort to the National Clozapine Coordinating Center (NCCC) located in Dallas, Texas. Weekly data on each VA clozapine patient is processed at two locations. Facility Level --When a clozapine prescription is written, a computer program in each facility's internal computer system retrieves white blood cell count, neutrophil count, and clozapine dose and evaluates the information according to FDA guidelines. If an adverse blood condition is found, the computer may warn to trigger a physician reevaluation, or lock out entirely to prevent dispensing, depending on the severity. Weekly, this information, along with certain patient demographic information, is gathered locally and transmitted to Hines Office of Information & Technology Field Office for centralized storage. This data can only be accessed by the NCCC. Raw data is downloaded from the Hines OI Field Office database on a weekly basis. An ancillary computer program reformats the data and evaluates the information for inconsistencies and data gathering errors. The computer-corrected data is manually compared with hand-written facsimile information sent to the NCCC by each site. This manually corrected data is again reformatted for data storage in MS Access format at the NCCC. The corrected data is also reformatted into American Standard Code for Information Interchange fixed-length fields and transmitted via modem to the manufacturers' Clozapine Registry and, in turn, to the FDA.

  16. Stone specialty (Nephrology or Urology) provider care 6 months after stone...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao (2023). Stone specialty (Nephrology or Urology) provider care 6 months after stone diagnosis. [Dataset]. http://doi.org/10.1371/journal.pone.0220768.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Calyani Ganesan; I-Chun Thomas; Shen Song; Andrew J. Sun; Ericka M. Sohlberg; Manjula Kurella Tamura; Glenn M. Chertow; Joseph C. Liao; Simon Conti; Christopher S. Elliott; John T. Leppert; Alan C. Pao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Stone specialty (Nephrology or Urology) provider care 6 months after stone diagnosis.

  17. f

    Table_1_Primary sclerosing cholangitis and pancreatic cancer: A...

    • frontiersin.figshare.com
    docx
    Updated Jun 21, 2023
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    Anita Nguyen; Babak Torabi Sagvand; Madeline Alizadeh; Cydney Nguyen; William Scott; Erik C. von Rosenvinge (2023). Table_1_Primary sclerosing cholangitis and pancreatic cancer: A retrospective cohort study of United States veterans.docx [Dataset]. http://doi.org/10.3389/fgstr.2022.1076788.s001
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    docxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Frontiers
    Authors
    Anita Nguyen; Babak Torabi Sagvand; Madeline Alizadeh; Cydney Nguyen; William Scott; Erik C. von Rosenvinge
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Primary sclerosing cholangitis (PSC) is associated with hepatobiliary and colorectal cancers, but it remains uncertain if PSC increases the risk for pancreatic cancer. While some European studies have suggested an increased risk of pancreatic cancer in PSC patients, other studies have not. And these studies did not well account for presence or absence of concomitant inflammatory bowel disease (IBD). The purpose of this study is to investigate the prevalence of pancreatic cancer in United States veterans with PSC both with and without IBD.MethodsThis retrospective study used International Classification of Diseases, Tenth Revision (ICD-10) codes to identify patients with PSC, IBD, and pancreatic cancer from the Veterans Affairs (VA) Corporate Data Warehouse. The prevalence of pancreatic cancer in patients with PSC only, IBD only, PSC with IBD, and neither PSC nor IBD were compared. Logistic regression was used to control for age, gender, chronic pancreatitis, diabetes mellitus, and tobacco and alcohol use.ResultsA total of 946 patients with PSC were identified from a population of over 9 million veterans. 486 (51.4%) of these had concurrent IBD. Additionally 112,653 patients with IBD without PSC were identified. When adjusted for confounding factors, patients with PSC had a significantly higher prevalence of pancreatic cancer compared to the general population and those with IBD without PSC (2.4% vs. 0.2% and 0.5%, respectively).ConclusionsVeterans with PSC, particularly those without concomitant IBD, have a high prevalence of pancreatic cancer compared to the general veteran population. Our findings support the need for multicenter prospective studies investigating the benefits of screening for pancreatic cancer in patients with PSC.

  18. T

    Warehouses de Pauw Comm VA | WDP - Net Income

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Warehouses de Pauw Comm VA | WDP - Net Income [Dataset]. https://tradingeconomics.com/wdp:bb:net-income
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Sep 19, 2025
    Area covered
    Belgium
    Description

    Warehouses de Pauw Comm VA reported EUR68.15M in Net Income for its fiscal quarter ending in March of 2025. Data for Warehouses de Pauw Comm VA | WDP - Net Income including historical, tables and charts were last updated by Trading Economics this last September in 2025.

  19. o

    Warehouse Course Cross Street Data in Yorktown, VA

    • ownerly.com
    Updated Dec 20, 2021
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    Ownerly (2021). Warehouse Course Cross Street Data in Yorktown, VA [Dataset]. https://www.ownerly.com/va/yorktown/warehouse-crse-home-details
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    Dataset updated
    Dec 20, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Yorktown, Warehouse Course, Virginia
    Description

    This dataset provides information about the number of properties, residents, and average property values for Warehouse Course cross streets in Yorktown, VA.

  20. T

    Warehouses de Pauw Comm VA | WDP - Employees Total Number

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2022
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    TRADING ECONOMICS (2022). Warehouses de Pauw Comm VA | WDP - Employees Total Number [Dataset]. https://tradingeconomics.com/wdp:bb:employees
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Sep 20, 2025
    Area covered
    Belgium
    Description

    Warehouses de Pauw Comm VA reported 90 in Employees for its fiscal year ending in December of 2022. Data for Warehouses de Pauw Comm VA | WDP - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last September in 2025.

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Department of Veterans Affairs (2025). Corporate Data Warehouse (CDW) [Dataset]. https://catalog.data.gov/dataset/corporate-data-warehouse-cdw
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Corporate Data Warehouse (CDW)

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10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 2, 2025
Dataset provided by
United States Department of Veterans Affairshttp://va.gov/
Description

The Veterans Health Administration (VHA) is increasingly dependent upon data. Most of its employees generate and use vast amounts of data on a daily basis. To improve our capacity for data analysis while providing the most efficient and the highest quality health care to our Veteran patients, VHA, working with the VA Office of Information and Technology, implemented a health data warehouse. Central to this plan is consolidating data from disparate sources into a coherent single logical data model. The Corporate Data Warehouse (CDW) is the physical implementation of this logical data model at the enterprise level for VHA. Although the CDW initially began to store data as early as 2006, a renewed effort began in 2010 to accelerate CDW's content by including more subject areas from Veterans Health Information Systems and Technology Architecture (VistA) and content from other existing national data systems. CDW supports fully developed subject areas in its production environment as well as supporting rapid prototyping by extracting data directly from source systems with very minor data transformations. The Regional Data Warehouses and the Veterans Integrated Service Network (VISN) Data Warehouses share content from CDW and allow for greater reporting flexibility at the local level throughout the VHA organization.

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