100+ datasets found
  1. Open Payments Dataset - 2013 Program Year

    • academictorrents.com
    bittorrent
    Updated Feb 28, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Open Payments Dataset - 2013 Program Year [Dataset]. https://academictorrents.com/details/92a1aeaaf741f3d1669ad0f0186d96ec168ee550
    Explore at:
    bittorrentAvailable download formats
    Dataset updated
    Feb 28, 2017
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Authors
    U.S. Centers for Medicare & Medicaid Services
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    Every year, CMS will update the Open Payments data at least once after its initial publication. The refreshed data will include updates to data disputes and other data corrections made since the initial publication of this data documenting payments or transfers of value to physicians and teaching hospitals, and physician ownership and investment interests. This financial data is submitted by applicable manufacturers and applicable group purchasing organizations (GPOs). #### What data is collected? Applicable manufacturers and GPOs submit data to Open Payments about payments or other transfers of value between applicable manufacturers and GPOs and physicians or teaching hospitals: 1. Paid directly to physicians and teaching hospitals (known as direct payments) 2. Paid indirectly to physicians and teaching hospitals (known as indirect payments) through an intermediary such as a medical specialty society 3. Designated by physicians or teaching hospitals to be paid to another party (known

  2. B

    Quantifying industry spending on promotional events using Open Payments...

    • borealisdata.ca
    • search.dataone.org
    Updated Jun 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fabian Held (2024). Quantifying industry spending on promotional events using Open Payments data: Event classification script [Dataset]. http://doi.org/10.5683/SP3/0KR09P
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Borealis
    Authors
    Fabian Held
    License

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

    Description

    We conducted a cross-sectional study of the publicly available 2022 Open Payments data to characterize and quantify sponsored events (available for download at: https://www.cms.gov/priorities/key-initiatives/open-payments/data/dataset-downloads). Data sources We downloaded the 2022 dataset ZIP files from the Open Payments website on June 30th, 2023. We included all records for nurse practitioners, clinical nurse specialists, certified registered nurse anesthetists, and certified nurse-midwives (hereafter advanced practiced registered nurses (APRNs)); and allopathic and osteopathic physicians (hereafter, ‘physicians’). To ensure consistency in provider classification, we linked Payments data to the National Plan and Provider Enumeration System data (June 2023) by National Provider Identifier (NPI) and the National Uniform Claim Committee (NUCC) and excluded individuals with an ambiguous provider type. Event-centric analysis of Open Payments records: Creating an event typology We included only payments classified as “food and beverage” to reliably identify distinct sponsored events. We reasoned that food and beverage would be consumed on the same day in the same place, thus assumed that records for food and beverage associated with the same event would share the date of payment and location. We also assumed that the reported value of a food and beverage payment is the total cost of the hospitality divided by the number of attendees, thus grouped payment records with the same amount, rounded to the nearest dollar. Inferring which Open Payment records relate to the same sponsored event requires analytic decisions regarding the selection and representation of variables that define an event. To understand the impact of these choices, we undertook a sensitivity analysis to explore alternative ways to group Open Payments records for food and beverage, to determine how combination of variables, including date (specific date or within the same calendar week), amount (rounded to nearest dollar), and recipient’s state, affected the identification of sponsored events in the Open Payments data set. We chose to define a sponsored event as a cluster of three or more individual payment records for food and beverage (nature of payment) with the following matching Open Payments record variables: • Submitting applicable manufacturer (name) • Product category or therapeutic area • Name of drug or biological or device or medical supply • Recipient state • Total amount of payment (USD, rounded to nearest dollar) • Date of payment (exact) After examining the distribution of the data, we classified events in terms of size (≥20 attendees as “large” and 3-<20 as “small”) and amount per person. We categorized events <$10 as “coffee”, $10-<$30 as “lunch”, $30-<$150 as “dinner”, and ≥$150 as “banquet”.

  3. Variability in mean payment per physician, number of physicians, and...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Raphael E. Cuomo; Mingxiang Cai; Neal Shah; Tim K. Mackey (2023). Variability in mean payment per physician, number of physicians, and aggregated payments for transactions in the Open Payments database, 2014–2018, for each top-category specialty available for allopathic and osteopathic physicians. [Dataset]. http://doi.org/10.1371/journal.pone.0252656.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Raphael E. Cuomo; Mingxiang Cai; Neal Shah; Tim K. Mackey
    License

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

    Description

    Variability in mean payment per physician, number of physicians, and aggregated payments for transactions in the Open Payments database, 2014–2018, for each top-category specialty available for allopathic and osteopathic physicians.

  4. Open Payments Data

    • data.wu.ac.at
    • data.amerigeoss.org
    Updated May 8, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2016). Open Payments Data [Dataset]. https://data.wu.ac.at/schema/data_gov/ODcyZjkwZmUtNzk3My00MzBjLWE3NGItNjJlNzg3ZjZhMTgx
    Explore at:
    Dataset updated
    May 8, 2016
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    Open Payments (otherwise known as the Sunshine Act) - Open Payments is a Congressionally-mandated transparency program that increases awareness of financial relationships between the health care industry and physicians by collecting and reporting any payments or transfers of value medical manufacturers make to physicians or teaching hospitals.

  5. CMS Healthcare Industry Providers Financial Relationships Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Snow Labs (2021). CMS Healthcare Industry Providers Financial Relationships Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/cms-healthcare-industry-providers-financial-relationships-data-package/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    Information on Open Payments managed by the Centers for Medicare & Medicaid Services (CMS), which is a national disclosure program created by the Affordable Care Act (ACA) that promotes transparency and accountability by helping consumers understand the financial relationships between pharmaceutical and medical device industries and physicians and teaching hospitals.

  6. Distribution of Physician Payments by Program and Specialty

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    html, xlsx
    Updated Nov 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Alberta (2024). Distribution of Physician Payments by Program and Specialty [Dataset]. https://open.canada.ca/data/en/dataset/e311fc30-7f09-4413-b13e-b4238f076a2c
    Explore at:
    xlsx, htmlAvailable download formats
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Government of Albertahttps://www.alberta.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2014 - Mar 31, 2022
    Description

    This table provides a statistics on Distribution of Physician Payments by Program and Specialty under the Alberta Health Care Insurance Plan (AHCIP). This table is an Excel version of a table in the “Alberta Health Care Insurance Plan Statistical Supplement” report published annually by Alberta Health.

  7. 2023 payments grouped by covered recipient and nature of payments

    • healthdata.gov
    application/rdfxml +5
    Updated Jul 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OpenPaymentsData.cms.gov (2024). 2023 payments grouped by covered recipient and nature of payments [Dataset]. https://healthdata.gov/dataset/2023-payments-grouped-by-covered-recipient-and-nat/j8jw-6uc8
    Explore at:
    csv, tsv, xml, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    OpenPaymentsData.cms.gov
    Description

    This dataset is pre-filtered based on the most frequent searches of Open Payments data.

  8. Physician Profile Data Utah 2013

    • opendata.utah.gov
    application/rdfxml +5
    Updated Jan 23, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Medicare and Medicaid Services (2015). Physician Profile Data Utah 2013 [Dataset]. https://opendata.utah.gov/Health/Physician-Profile-Data-Utah-2013/bhr8-5wkc
    Explore at:
    csv, application/rssxml, application/rdfxml, json, tsv, xmlAvailable download formats
    Dataset updated
    Jan 23, 2015
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Authors
    Centers for Medicare and Medicaid Services
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    Sometimes, doctors and hospitals have financial relationships with health care manufacturing companies. These relationships can include money for research activities, gifts, speaking fees, meals, or travel. The Social Security Act requires CMS to collect information from applicable manufacturers and group purchasing organizations (GPOs) in order to report information about their financial relationships with physicians and hospitals. Open Payments is the federally run program that collects the information about these financial relationships and makes it available to you from the Opendata.utah.gov portal.

  9. CMS Physicians and Principal Investigators Details

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Snow Labs (2021). CMS Physicians and Principal Investigators Details [Dataset]. https://www.johnsnowlabs.com/marketplace/cms-physicians-and-principal-investigators-details/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    Dataset contains all of the identifying information for physicians who were indicated as recipients of payments, other transfers of value, or ownership and investment interest in records published by CMS through Open Payments as well as physician principal investigators who were associated with payments or other transfers of value in records published in Open Payments. This file contains only physicians and principal investigators having at least one payment record published.

  10. National level payment total and averages by provider specialty for all...

    • healthdata.gov
    application/rdfxml +5
    Updated Jan 21, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OpenPaymentsData.cms.gov (2022). National level payment total and averages by provider specialty for all years [Dataset]. https://healthdata.gov/dataset/National-level-payment-total-and-averages-by-provi/2hn5-783z
    Explore at:
    xml, json, csv, application/rdfxml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Jan 21, 2022
    Dataset provided by
    OpenPaymentsData.cms.gov
    Description

    This dataset is pre-filtered based on the most frequent searches of Open Payments data.

  11. CMS Program Statistics - Medicare Physician, Non-Physician Practitioner &...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Feb 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Medicare & Medicaid Services (2025). CMS Program Statistics - Medicare Physician, Non-Physician Practitioner & Supplier [Dataset]. https://catalog.data.gov/dataset/medicare-physician-non-physician-practitioner-supplier-055aa
    Explore at:
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The CMS Program Statistics - Medicare Physician, Non-Physician Practitioner and Supplier tables provide use and payment data for physicians, other practitioners, limited-licensed practitioners, and durable medical equipment, prosthetic, and orthotic (DMEPOS) suppliers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data. Below is the list of tables: MDCR PHYSSUPP 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR PHYSSUPP 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PHYSSUPP 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Area of Residence MDCR PHYSSUPP 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Type of Service MDCR PHYSSUPP 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Place of Service MDCR PHYSSUPP 6. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Physician Specialty MDCR PHYSSUPP 7. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization and Program Payments for Original Medicare Beneficiaries, by Berenson-Eggers Type of Service (BETOS) Classification

  12. Transit agencies want open payments but there are challenges

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, csv
    Updated Oct 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Susan Pike; Susan Pike (2023). Transit agencies want open payments but there are challenges [Dataset]. http://doi.org/10.5061/dryad.9p8cz8wnv
    Explore at:
    csv, binAvailable download formats
    Dataset updated
    Oct 6, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Susan Pike; Susan Pike
    License

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

    Description

    This study explores interest in, and the challenges faced by transit agencies and operators in the adoption of open-loop payment systems. The research team focuses in particular on the ways that agencies view passenger needs in the context of adopting open payments. Challenges with cash payments, an increasingly cashless society, and the expanding offerings of digital payment options have spurred increased interest in open-loop payments among transit operators. Paying for transit with cash can require additional time at boarding, add extra steps for passengers who must pay with exact fare, and result in service inefficiencies. It presents security concerns for drivers, and administrative burdens for agencies. While the full costs of cash handling vary per agency the cost of handling and moving cash may be considerable. Pioneering transit agencies are adopting open payment systems that accept credit cards, debit cards, and smartphone/watch-based transactions. However, there is a huge diversity among transit agencies and as such, agencies face different challenges and to different degrees, when considering the adoption of open payment systems. Challenges can include financial barriers, capacity limitations, technological challenges, the duration of existing contracts, competing needs, and a number of passenger challenges such as lack of credit cards or smartphones. This study uses data collected from California transit agencies in the fall of 2022 that gathered information about agency perceptions of open-loop payments and the challenges with adopting open fare collection systems, and whether assistance programs would benefit transit agencies interested in adopting open-loop payments. Even before the pandemic prompted agencies to consider open and contactless payments, many agencies were exploring this option. Results of the present study indicate that the majority of agencies are considering or have considered implementing open payment systems, but agencies are not fully aware of the assistance available from the California Integrated Travel Program to help in the transition to digital and open payment systems. Key challenges include the cost, as well as the technical needs to implement open payments. Agencies also cited passenger familiarity with technology and ability to have a bank account as potential hurdles. This study sheds light on the challenges facing small to medium transit agencies in the transition of California's transit systems to open-loop payment systems.

  13. Utilization and Payment Data Physician and Other Supplier 2012

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Snow Labs (2021). Utilization and Payment Data Physician and Other Supplier 2012 [Dataset]. https://www.johnsnowlabs.com/marketplace/utilization-and-payment-data-physician-and-other-supplier-2012/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2012
    Area covered
    United States
    Description

    The dataset contains information on ‘Provider Utilization and Payment Data Physician and Other Supplier Public Use File (PUF)’ prepared by the Centers for Medicare & Medicaid Services (CMS) and organized by National Provider Identifier (NPI), Healthcare Common Procedure Coding System code, and place of service. This PUF is based on information from CMS’s National Claims History (NCH) Standard Analytic Files (SAFs).

  14. Medicare NPI Physician And Other Supplier Payment Aggregate Report

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Snow Labs (2021). Medicare NPI Physician And Other Supplier Payment Aggregate Report [Dataset]. https://www.johnsnowlabs.com/marketplace/medicare-npi-physician-and-other-supplier-payment-aggregate-report/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2017
    Area covered
    United States
    Description

    The dataset contains information on utilization and payments (Total submitted charges, Medicare allowed amount, Medicare Payment amount, Medicare standardized payment amount) organized by National Provider Identity. Sub-totals for medical type services and drug type services are included as well as overall utilization, payment and charges.

  15. f

    The number of editors in each specialty, and percentage of editors receiving...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Waqas Haque; Abu Minhajuddin; Arjun Gupta; Deepak Agrawal (2023). The number of editors in each specialty, and percentage of editors receiving general payments. [Dataset]. http://doi.org/10.1371/journal.pone.0197141.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Waqas Haque; Abu Minhajuddin; Arjun Gupta; Deepak Agrawal
    License

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

    Description

    The number of editors in each specialty, and percentage of editors receiving general payments.

  16. Physician office payment for biosimilars in Medicare Part B 2022

    • statista.com
    Updated Apr 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Physician office payment for biosimilars in Medicare Part B 2022 [Dataset]. https://www.statista.com/statistics/700131/physician-office-payment-for-biosimilars-in-medicare-part-b/
    Explore at:
    Dataset updated
    Apr 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows a hypothetical example of physician office payments for biosimilars in Medicare Part B as of 2022. The wholesale acquisition cost (WAC) for the reference drug would be one thousand U.S. dollars, while the WAC for biosimilar A would be 200 dollars lower.

  17. Pharma and medtech companies with highest payments to U.S. doctors and...

    • statista.com
    Updated May 28, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pharma and medtech companies with highest payments to U.S. doctors and hospitals 2018 [Dataset]. https://www.statista.com/statistics/1063515/pharma-and-medtech-company-highest-dollar-payments-to-doctors-in-us/
    Explore at:
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    In 2018, Genentech spent approximately 480 million U.S. dollars on payments to doctors and hospitals in the United States – this was around 370 million U.S. dollars more than any other pharmaceutical and medical device company.

    Why do doctors receive payments from companies? As part of the Affordable Care Act enacted by the United States Congress in 2010, pharmaceutical manufacturers are required to publicly disclose all payments made to physicians and hospitals. The Physician Payments Sunshine Act improves the health care system by making the relationships between the interested parties more transparent. It is has become a common practice for health care providers to receive payments from drug manufacturers in return for writing more prescriptions for that company’s products. Interactions also relate to payments for educational lectures and expert consultations.

    Pharma partnerships: Roche and Genentech Genentech was acquired by Swiss pharmaceutical company Roche in 2009 and has recently been integrated into Roche’s pharmaceuticals division – this operating segment generated approximately 48.5 billion Swiss francs in 2019. One of Roche’s leading drugs is Rituxan/MabThera, which is manufactured in collaboration between Genentech and Biogen. In 2019, the product generated total sales of around 6.5 billion Swiss francs, which was split between the oncology and immunology therapeutic areas.

  18. Characteristics of physicians among the top quintile for receipt of payments...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Characteristics of physicians among the top quintile for receipt of payments in Q3/4 2013*. [Dataset]. https://plos.figshare.com/articles/dataset/Characteristics_of_physicians_among_the_top_quintile_for_receipt_of_payments_in_Q3_4_2013_sup_sup_/3387940
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Roy H. Perlis; Clifford S. Perlis
    License

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

    Description

    Characteristics of physicians among the top quintile for receipt of payments in Q3/4 2013*.

  19. D

    Open Checkbook Payments

    • detroitdata.org
    • data.ferndalemi.gov
    • +2more
    Updated Jan 6, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Detroit (2021). Open Checkbook Payments [Dataset]. https://detroitdata.org/dataset/open-checkbook-payments
    Explore at:
    csv, arcgis geoservices rest api, geojson, html, zip, kmlAvailable download formats
    Dataset updated
    Jan 6, 2021
    Dataset provided by
    City of Detroit
    Description

    This dataset provides information about payments made by the City of Detroit to vendors, suppliers, and individuals providing goods and services to the City. Payment data is currently available for City of Detroit Fiscal Year 2017-2018, Fiscal Year 2018-2019, Fiscal Year 2019-2020, and Fiscal Year 2020-2021. This data does not include City payroll and benefits expenses.

  20. Medical Payments to Physicians in Nova Scotia

    • ouvert.canada.ca
    • data.novascotia.ca
    • +1more
    csv, html, rdf, rss +1
    Updated Nov 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Nova Scotia (2024). Medical Payments to Physicians in Nova Scotia [Dataset]. https://ouvert.canada.ca/data/dataset/ee58d42b-38ab-9cdb-06ef-39248853bfd3
    Explore at:
    html, csv, rss, xml, rdfAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Government of Nova Scotiahttps://www.novascotia.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2012 - Mar 31, 2023
    Area covered
    Nova Scotia
    Description

    Medical Payments to Physicians in Nova Scotia. Includes the following data fields: Year, Payment Type, Payment Type Subcategory, Amount

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Open Payments Dataset - 2013 Program Year [Dataset]. https://academictorrents.com/details/92a1aeaaf741f3d1669ad0f0186d96ec168ee550
Organization logo

Open Payments Dataset - 2013 Program Year

Explore at:
bittorrentAvailable download formats
Dataset updated
Feb 28, 2017
Dataset provided by
Centers for Medicare & Medicaid Services
Authors
U.S. Centers for Medicare & Medicaid Services
License

https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

Description

Every year, CMS will update the Open Payments data at least once after its initial publication. The refreshed data will include updates to data disputes and other data corrections made since the initial publication of this data documenting payments or transfers of value to physicians and teaching hospitals, and physician ownership and investment interests. This financial data is submitted by applicable manufacturers and applicable group purchasing organizations (GPOs). #### What data is collected? Applicable manufacturers and GPOs submit data to Open Payments about payments or other transfers of value between applicable manufacturers and GPOs and physicians or teaching hospitals: 1. Paid directly to physicians and teaching hospitals (known as direct payments) 2. Paid indirectly to physicians and teaching hospitals (known as indirect payments) through an intermediary such as a medical specialty society 3. Designated by physicians or teaching hospitals to be paid to another party (known

Search
Clear search
Close search
Google apps
Main menu