93 datasets found
  1. d

    Health Care Provider (HCP) Data | Physicians Data, Hospital Data | Global...

    • datarade.ai
    Updated May 9, 2022
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    Grepsr (2022). Health Care Provider (HCP) Data | Physicians Data, Hospital Data | Global Coverage | Pharmaceutical Sales Targeting [Dataset]. https://datarade.ai/data-products/healthcare-provider-professional-data-grepsr-grepsr-6c13
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    May 9, 2022
    Dataset authored and provided by
    Grepsr
    Area covered
    United Arab Emirates, Kenya, Central African Republic, Mexico, Samoa, Virgin Islands (U.S.), Rwanda, Cayman Islands, Uruguay, United States of America
    Description

    Healthcare Provider/Professional Data contains the data of individual providers and facilities, including their information about opening hours, insurance networks, specialties, NPI, etcetera. In addition to discovering data sources, merging data, running analytics, and receiving decision-making guidance, the bigger problem is responding to marketplace business and patient care demands in a timely manner. Pharmacy contains the location details of pharmacies and has attributes such as addresses, opening hours, facilities, etcetera.

    A. Usecase/Applications possible with the data:

    a. Provider network data systems (PNDS) - The primary goal of the PNDS is to collect data needed to evaluate provider networks, which include physicians, hospitals, labs, home health agencies, durable medical equipment providers, and so on, for all types of Health Insurers. Such information can be used to:

    b. Find health care providers in my network - Use this directory to easily find other providers in my network.

    c. Comprehensive services assessment - Determine whether insurers have contracted with a sufficient number of primary care practitioners, clinical specialists, and service facilities (hospitals, labs, etc.) within the insurer's service area.

    d. Capacity analysis - Calculate the potential capacity of a managed care plan’s primary care providers.

    e. Locate pharmacies in your local areas.

    f. Support Employee Benefits Decisions - Having access to network data can help you make better decisions about which providers to use for Employee Medical Benefits.

    g. Know about the facilities available across different pharmacies.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  2. D

    Pharmacists

    • data.wa.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jul 12, 2025
    + more versions
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    Washington State Department of Health (2025). Pharmacists [Dataset]. https://data.wa.gov/Health/Pharmacists/fjjv-ikwf
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    application/rdfxml, csv, tsv, xml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jul 12, 2025
    Authors
    Washington State Department of Health
    License

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

    Description

    The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.

    This includes information on health care providers.

    Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.

    News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.

    Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.

  3. Biotech Pharma and Research Information Database Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Biotech Pharma and Research Information Database Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/biotech-pharma-and-research-information-database-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package consists of bioresearch monitoring information system (BMIS) dataset, directory of the different biotech and biopharmaceutical and pharmaceutical companies in the United States and the European Union, establishment registration database, drug wholesale distributor and third-party logistics provider reporting database, establishment inspections conducted by FDA, and FDA post-marketing requirements and commitments searchable database.

  4. e

    Earnest Analytics Phoenix Medical Claims Data

    • earnestanalytics.com
    Updated Feb 6, 2024
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    Earnest Analytics (2024). Earnest Analytics Phoenix Medical Claims Data [Dataset]. https://www.earnestanalytics.com/datasets/phoenix-medical-claims
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    Dataset updated
    Feb 6, 2024
    Dataset authored and provided by
    Earnest Analytics
    Area covered
    US
    Description

    Analyze complete patient journeys across both medical and pharmacy claims and accurately track metrics like patient persistence, therapy switches, and concomitant therapies. Medical claims data is sourced from a large health service company with visibility into unblinded provider identities and strong longitudinal integrity allowing for accurate patient journey analytics.

  5. V

    List of Excluded Individuals and Entities

    • data.virginia.gov
    • healthdata.gov
    • +2more
    Updated Jul 25, 2023
    + more versions
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    Office of Inspector General (2023). List of Excluded Individuals and Entities [Dataset]. https://data.virginia.gov/dataset/list-of-excluded-individuals-and-entities
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    Dataset updated
    Jul 25, 2023
    Dataset provided by
    Office of Inspector General
    Description

    Our objective is to ensure that providers who bill Federal health care programs do not submit claims for services furnished, ordered or prescribed by an excluded individual or entity. The LEIE is updated monthly with all individuals and entities who have been excluded from participation in Federal health care programs. Providers who bill Medicare, Medicaid, or other Federal health care programs must ensure that they know what individuals or entities are excluded and not bill for their services (e.g., a pharmacy should not bill Medicaid for a drug prescribed by an excluded physician nor for drugs dispensed by an excluded pharmacist).

  6. Healthcare Data Monetization Market by Type of Data (Clinical Data,...

    • verifiedmarketresearch.com
    Updated Feb 16, 2025
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    VERIFIED MARKET RESEARCH (2025). Healthcare Data Monetization Market by Type of Data (Clinical Data, Non-Clinical Data, Personal Health Data), Monetization Model (Data Licensing, Data Analytics and Insights, Subscription-Based Services, Ad-Based Monetization), Application (Patient Care and Management, Research and Development, Population Health Management, Insurance & Risk Assessment), End-User (Healthcare Providers, Pharmaceutical Companies, Insurance Companies, Government & Public Health Agencies, Patients/Consumers), & Geographic Scope and Forecast for 2025-2032 [Dataset]. https://www.verifiedmarketresearch.com/product/healthcare-data-monetization-market/
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    Dataset updated
    Feb 16, 2025
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

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

    Time period covered
    2025 - 2032
    Area covered
    Global
    Description

    Healthcare Data Monetization Market size was valued at USD 566.27 Million in 2024 and is projected to reach USD 2082.09 Million by 2032, growing at a CAGR of 17.50% during the forecasted period 2025 to 2032.

    The healthcare data monetization market is driven by the increasing volume of healthcare data, advancements in big data analytics, and the growing adoption of AI and machine learning for data-driven decision-making. The rising demand for personalized medicine, value-based care, and real-world evidence is encouraging healthcare providers, payers, and pharmaceutical companies to leverage data for improved patient outcomes and operational efficiency. Additionally, regulatory support for data interoperability, the expansion of health information exchanges (HIEs), and the adoption of blockchain for secure data transactions are fueling market growth. The shift toward digital health solutions and the growing interest in data-driven research and commercialization further accelerate the market expansion.

  7. Pharmacy Quality Scheme Data 2023/24 - Datasets - Open Data Portal

    • opendata.nhsbsa.net
    Updated Dec 4, 2024
    + more versions
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    nhsbsa.net (2024). Pharmacy Quality Scheme Data 2023/24 - Datasets - Open Data Portal [Dataset]. https://opendata.nhsbsa.net/dataset/pharmacy-quality-scheme-data-2023-24
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    NHS Business Services Authority
    Description

    The Pharmacy Quality Scheme (PQS) is a component of the Community Pharmacy Contractual Framework (CPCF). PQS aims to support the delivery of the NHS Long Term Plan by rewarding community pharmacies for meeting quality criteria in three key areas: • Clinical effectiveness • Patient safety • Patient experience The PQS for 2023/24 comprises three quality domains: • Medicines Safety and Optimisation • Prevention • Respiratory The datasets hosted on the Open Data Portal (ODP) relate to these quality domains. Each dataset includes a list of pharmacies eligible for a PQS payment on 1 April 2024. Eligibility is based on pharmacies meeting the gateway criteria and the requirements of at least one quality domain. The datasets provide pharmacies’ responses to the PQS declaration questions as entered in Manage Your Service (MYS). However, not all questions from the declaration are included in the datasets. Each file's accompanying data dictionary outlines the included questions, and all questions from the 2023/24 PQS declaration are available in the document PQS Questions 2023-2024.xlsx. For further information about PQS 2023/24, please contact pharmacysupport@nhsbsa.nhs.uk. Service Overview https://www.nhsbsa.nhs.uk/provider-assurance-pharmaceutical-services/pharmacy-quality-scheme-pqs

  8. Provisional Secondary Care Medicines Data (SCMD) with indicative price -...

    • opendata.nhsbsa.net
    Updated Jul 1, 2021
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    nhsbsa.net (2021). Provisional Secondary Care Medicines Data (SCMD) with indicative price - Datasets - Open Data Portal [Dataset]. https://opendata.nhsbsa.net/dataset/secondary-care-medicines-data-indicative-price
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    Dataset updated
    Jul 1, 2021
    Dataset provided by
    NHS Business Services Authority
    Description

    The NHS Business Services Authority (NHSBSA) publishes Secondary Care Medicines Data on behalf of NHS England (NHSE). This dataset provides 'Provisional' Secondary Care Medicines data for all NHS Acute, Teaching, Specialist, Mental Health, and Community Trusts in England. It provides information on pharmacy stock control, reflecting processed medicines data. RX Info is responsible for refreshing the Provisional data at the close of each financial year to include backtracking adjustments. The data is 'Finalised' to provide validated and complete figures for each reporting period, incorporating any updates and corrections throughout the year. The Finalised dataset serves as the definitive record for each month and year, offering the most accurate information on medicines issued. While we do not analyse changes, users can compare the finalised data with provisional data to identify any discrepancies. Key Components of the Data Quantities of Medicines Issued: Details the total quantities of medicines stock control via NHS Secondary Care services. Indicative Costs: Actual costs cannot be displayed in the dataset as NHS Hospital pricing contracts and NICE Patient Access Schemes are confidential. The indicative cost of medicines is derived from current medicines pricing data held in NHSBSA data systems (Common Drug Reference and dm+d), calculated to VMP level. Indicative costs are calculated using: Community pharmacy reimbursement prices for generic medicines. List prices for branded medicines. Care should be taken when interpreting and analysing this indicative cost as it does not reflect the net actual cost of NHS Trusts, which will differ due to the application of confidential discounts, rebates, or procurement agreements paid by hospitals when purchasing medicines. Standardisation with SNOMED CT and dm+d: SNOMED CT (Systematised Nomenclature of Medicine - Clinical Terms) is used to enhance the dataset’s compatibility with electronic health record systems and clinical decision support tools. SNOMED CT is a globally recognised coding system that provides precise definitions for clinical terms, ensuring interoperability across healthcare systems. Trust-Level Data: Data is broken down by individual NHS Trusts, enabling regional comparisons, benchmarking, and targeted analysis of specific Trusts. Medicine Identification: Medicines in the dataset are identified using Virtual Medicinal Product (VMP) codes from the Dictionary of Medicines and Devices (dm+d): VMP_PRODUCT_NAME: The name of the Virtual Medicinal Product (VMP) as defined by the dm+d, which includes key details about the product. For example: Paracetamol 500mg tablets. VMP_SNOMED_CODE: The code for the Virtual Medicinal Product (VMP), providing a unique identifier for each product. For example: 42109611000001109 represents Paracetamol 500mg tablets. You can access the finalised files in our Finalised Secondary Care Medicines Data (SCMD) with indicative price dataset. Dataset Details Service Overview Information about our NHSBSA Prescriptions Data service can be found here - Prescription data | NHSBSA The NHS Business Services Authority (NHSBSA) publishes this dataset, provided by RX Info, which contains information about pharmacy stock control in NHS Secondary Care settings across England on behalf of NHS England. It includes data from NHS Trusts and is in a standardised dm+d format (Dictionary of medicines and devices (dm+d) | NHSBSA). For further context about the Secondary Care Medicines Data, you can explore the following resources: Secondary Care Medicines Data Release Guidance v0.5 (Word: 78.3KB) RX Info: RX Info is the provider of the data related to pharmacy stock control medicines issued in NHS Secondary Care settings, which is made available by NHSBSA. Visit RX Info's website for more details. Data Source The data is sourced from NHS Trusts' pharmacy stock control systems which capture detailed records of medicines issued, including quantities. The data is provided to NHSBSA by RX Info, a data provider that supplies records on medicines issued in NHS Secondary Care settings. Data quality controls are in place to exclude transactions flagged as outliers, non-standardised items and zero activity. No personal or patient-identifiable information is included, ensuring compliance with data protection regulations. Rx-Info will provide a complete annual refresh of the data two months after the close of a financial year, planned for the end May, which will then be the fixed data set accounting for backtracking. The data for the finalised view is provided to NHSBSA. Data Collection Data is from NHS England sites only and provided under the agreement entered into by Trusts and Rx-Info (Define) facilitated by NHS England. The data owners and data controllers are the respective NHS Trusts. Time Periods Publication frequency: Data is uploaded on a monthly basis and is published retrospectively with a two-month delay. For example, January data is published in March. Historical Data: Data is available from April 2021 onwards. Geography NHS Trusts in England. Statistical Classification This is not an official statistic. A related official statistic can be found in our Prescribing Costs in Hospitals and the Community publication, which includes Secondary Care Medicines data with actual cost, broken down by British National Formulary (BNF) Section. Caveats Information: Interpreting 'Cost' Data Cost Limitations and Interpretation Indicative Costs: The costs in this dataset are indicative and do not reflect the net actual cost (including discounts and rebates) paid by hospitals when purchasing medicines. Due to confidential procurement agreements, the indicative costs will overestimate total NHS hospital expenditure. These figures are most useful for trend analysis rather than precise cost predictions.

  9. f

    Premier Pts | Healthcare Data | Healthcare & Pharmaceuticals Data

    • datastore.forage.ai
    Updated Sep 19, 2024
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    (2024). Premier Pts | Healthcare Data | Healthcare & Pharmaceuticals Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Healthcare%20Data
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    Dataset updated
    Sep 19, 2024
    Description

    Premier Pts is a company that specializes in providing real-time sports data and analytics to various clients. As a leading provider of sports data, Premier Pts offers a vast array of information, including team and player statistics, game scores, and betting odds.

    The company's data collection process involves scraping relevant information from various sports websites, online publications, and official sports organizations. With a strong focus on accuracy and timeliness, Premier Pts ensures that its data is up-to-date and reliable, making it a go-to source for sports enthusiasts, researchers, and businesses alike.

  10. U.S. pharmacies ranked by prescription drugs market share 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 21, 2025
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    Statista (2025). U.S. pharmacies ranked by prescription drugs market share 2024 [Dataset]. https://www.statista.com/statistics/734171/pharmacies-ranked-by-rx-market-share-in-us/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The top U.S. pharmacy in 2024 by market share based on prescription drug revenue was CVS Health Corporation, followed by Walgreens Boots Alliance. CVS Health held over 25 percent of the prescription drug market revenue at that time. A significant increase in market share was reported for Cigna achieved through the acquisition of pharmacy benefit manager Express Scripts in August 2018. Before that, Cigna was mainly active in the insurance business and related products and services. CVS pharmaciesThe CVS Health Corporation is a health service company with locations all over the United States, Puerto Rico and Brazil. CVS Health comprises pharmacies, clinics and retail locations. According to recent estimates the number of CVS pharmacies has increased dramatically since 2005, however, with a downward tendency since 2021.Pharmaceutical and pharmacy marketThe U.S. has the largest single share of global pharmaceutical market revenues. The total number of prescriptions dispensed in the U.S. has increased in the last years, reaching around 6.7 billion medical prescriptions in 2022. Prescription drug expenditures have been increasing in value, while the share related to total U.S. health expenditures has remained stable in recent years. On the other hand, the pharmacy market recently saw some significant changes, especially with the growing impact of online pharmacies (mail-order pharmacies) worldwide.

  11. Monthly Prescription Drug Plan Formulary and Pharmacy Network Information

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Jun 19, 2025
    + more versions
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    Centers for Medicare & Medicaid Services (2025). Monthly Prescription Drug Plan Formulary and Pharmacy Network Information [Dataset]. https://catalog.data.gov/dataset/monthly-prescription-drug-plan-formulary-and-pharmacy-network-information
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    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). Notice: CMS has identified an issue that resulted in a 15% coinsurance for plans with Defined Standard benefits to be listed rather than a 25% coinsurance in the Beneficiary Cost File under certain scenarios. This issue affected the October 2023 to November 2024 data. CMS will re-post the corrected data in batches between now and May 2025. The following files have already been corrected and re-posted: October 2024 November 2024 These non-identifiable files are available on a monthly basis and are comprised of the following tables: Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type. Geographic Locator - MA and Prescription Drug Plans region codes and county codes. Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, and prior authorization. Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only). Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies. Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators. Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan. Insulin Beneficiary Cost File - Plan level cost sharing details for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2024 data is available in the October, November and December 2023 monthly files. Year 2024 data continues to be available in the January through September 2024 monthly files, then beginning in October of 2024 year 2025 data becomes available. Estimated release dates for upcoming 2025 monthly data (files reflect data for the month in which the file is released): 2/26/25 3/26/25 4/23/25 5/21/25 6/18/25 7/30/25 8/27/25 9/24/25 Files older than contract year 2019 can be purchased.

  12. FOI-01727 - Datasets - Open Data Portal

    • opendata.nhsbsa.net
    Updated Feb 29, 2024
    + more versions
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    nhsbsa.net (2024). FOI-01727 - Datasets - Open Data Portal [Dataset]. https://opendata.nhsbsa.net/dataset/foi-01727
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    Dataset updated
    Feb 29, 2024
    Dataset provided by
    NHS Business Services Authority
    Description

    The number of COVID vaccinations carried out and payments made for these vaccinations to individual pharmacies, listed by their ODS code and with full postal address details. Could you provide the data for the month of January 2024 in EXCEL format please. The data should be: Column1--Administration Month Column2--ODS Code Column3--Pharmacy Name Column4--Pharmacy Trading Name Column5--Pharmacy Address Column6--Pharmacy Post Code Column7--Number of Vaccinations Claimed Column8--Number of Vaccinations Paid Column9--Payment Amount GB Response A copy of the information is attached. The NHSBSA calculates payments for Covid-19 vaccinations to Pharmacies and Primary Care Network (PCN) providers in England. Covid-19 vaccination data is keyed in via Point of Care (POC) Systems and they are transferred to the NHSBSA Manage Your Service (MYS) application. Each month, vaccine providers submit claims to request payment based on the data that has been transferred into MYS. To be paid in a timely fashion, such claims must be submitted during a specified declaration submission period. Should claims be submitted outside of the submission period, they will be processed in the following period. This means that in some cases, there is a difference between the number of vaccines that have been 'claimed' and the number that have been 'paid'. Both the number of 'claimed' and 'paid' vaccinations have been reported in this request. When considering the nature of the vaccine data, there are several ways it can be reported over time: Administration Month - This is the month in which the vaccine was administered to the patient. Payment Month - This is the month in which the payment was made to the vaccine dispenser. Note that all payments for Pharmacies are paid one month later than those for PCN providers. Keying Month - This is the month in which the vaccine record first appeared on the MYS system. Submission/Claim Month - This is the month in which the claim for payment for a vaccination occurred. For example, suppose that a PCN patient is given a Covid-19 vaccination dose 1 in January (Administration Month) and then the paper record of this is misplaced for a while. The record is found and keyed into a POC system during February (Keying Month). The Provider is allowed to claim for keying during February in the first five days of March, but they're slightly late and authorise the claim on 7 March (Submission Month). As the claim is outside the submission window, it is not paid in March, it will instead be processed during April (Payment Month). Another example could be a Pharmacy patient is given a Covid-19 vaccination dose 1 in January (Administration Month), keyed in January (Keying Month), then submitted in February (Submission Month) and then payments are calculated in February, however as this is for a pharmacy, the payments are held back and not paid until March (Payment Month). For the purposes of this request, we have chosen to report by Administration Month. Data included in this request is limited to vaccinations carried out by Pharmacies only. Data included in this request is also limited to vaccinations administered in January 2024. The latest data used is a snapshot of the MYS system data that was taken on 6 February 2024. This is the snapshot of data taken after the January 2024 submission period that was used to calculate payments. Pharmacy name and address are as held at this date. This payment data does not include any adjustments made by NHSBSA Provider Assurance as part of post-payment verification exercises. These adjustments are made at account level and may relate to several months of activity. Payment data includes payments made and those scheduled for payment in the future. Payments comprise an Item of Service (IoS) fee and potentially a supplementary fee. Payments do not relate to the value of the drugs dispensed. The total used for the payment calculation may not match the totals shown in 'live' POC systems or MYS that continue to receive updates after the snapshot used to calculate payments was taken. Vaccination records are limited to those which have been associated with a declaration submission. This may include late submission declarations received after the deadline for declarations such records are not processed until the next month. Please note that some vaccinations attract a supplementary fee, so it is not possible to determine the number of vaccinations by dividing the total paid by the basic IoS fee. It is possible for new records from old administration months to be entered in the future, thus the totals here for each administration month could change when more data is processed. Please note that this request and our response is published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-01727

  13. f

    Data from: Knowledge and perception of mHealth medication adherence...

    • figshare.com
    xlsx
    Updated Mar 20, 2024
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    Wajiha Rehman; Hemalatha Thanganadar; Sumaira Idrees; Asim Mehmood; Fahad Khan Azeez; Hanan Abdullah Almaimani; Mustapha Mohammed (2024). Knowledge and perception of mHealth medication adherence applications among pharmacists and pharmacy students in Jazan, Kingdom of Saudi Arabia [Dataset]. http://doi.org/10.6084/m9.figshare.25442149.v1
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    xlsxAvailable download formats
    Dataset updated
    Mar 20, 2024
    Dataset provided by
    figshare
    Authors
    Wajiha Rehman; Hemalatha Thanganadar; Sumaira Idrees; Asim Mehmood; Fahad Khan Azeez; Hanan Abdullah Almaimani; Mustapha Mohammed
    License

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

    Area covered
    Saudi Arabia, Jazan
    Description

    The advances in digital health, including mobile healthcare (mHealth) medication adherence applications (MApps), have been demonstrated to support medication adherence and improve health outcomes. However, there remains a significant gap in the understanding of MApps among healthcare professionals, particularly in pharmacy. This study aims to evaluate the knowledge and perception of the MApps among pharmacy stakeholders. A cross-sectional online survey was conducted among 223 pharmacists and pharmacy students in the Jazan region of the Kingdom of Saudi Arabia (KSA) between 1st and 30th April 2023. The survey collected information about the participants' socio-demographics, knowledge, and perception of the MApps. Data were analyzed using descriptive statistics in IBM SPSS 28.0. Among the 223 participants included in the study, 105 (47.1%) were pharmacists and 118 (52.9%) were students. Most participants were females (72.6%) and aged 18-30 years (70.4%). About half of the total participants demonstrated poor knowledge of the MApps [pharmacists (48.0%), and students (42.0%)], who mainly encountered Medisafe (18.1%) or Pills (17.0%) MApps, respectively. Most participants had a positive perception of the usefulness of the MApps (pharmacists, 79.0%; students, 80.0%). Notably, over 85% of the participants expressed willingness to know and provide guidance on MApps, with over 50% willing to recommend it to the patients. In conclusion, the study demonstrates limited knowledge with a positive perception of mHealth medication adherence applications among pharmacists and pharmacy students. Integrating digital adherence tools like the MApps into pharmacy training and professional development could significantly improve professional practice competencies, and optimize healthcare delivery and patient outcomes.

  14. H

    Healthcare Data Monetization Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jul 4, 2025
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    Archive Market Research (2025). Healthcare Data Monetization Report [Dataset]. https://www.archivemarketresearch.com/reports/healthcare-data-monetization-564863
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global healthcare data monetization market is experiencing robust growth, driven by the increasing volume of healthcare data generated, advancements in data analytics technologies, and a growing focus on value-based care. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033, reaching an estimated $55 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of electronic health records (EHRs) and other digital health technologies is creating a vast reservoir of patient data ripe for monetization. Secondly, the ability to derive actionable insights from this data through advanced analytics is enabling healthcare providers, payers, and pharmaceutical companies to improve patient outcomes, personalize treatments, and optimize operational efficiency. Thirdly, increasing regulatory compliance and data privacy frameworks, while presenting challenges, are also driving demand for secure and compliant data monetization solutions. This growth is not uniform across all segments. The market is segmented based on data type (e.g., clinical, genomic, claims), monetization method (e.g., data licensing, data sales, data-driven services), and end-user (e.g., healthcare providers, pharmaceutical companies, research institutions). While the precise market share of each segment isn't available, it's reasonable to assume that clinical data and data-driven services currently hold significant market share, with genomic data and data licensing gaining traction as technological capabilities mature. Key players in this market, including Sisense, Adastra, Snowflake, Thoughtspot, SAS, SAP, Zoomdata, Accenture, IBM, Teradata, and Infosys, are constantly innovating to offer advanced analytics platforms, data security solutions, and data management capabilities that meet the evolving needs of the healthcare industry. The competitive landscape is dynamic, with ongoing mergers, acquisitions, and partnerships shaping the market's future.

  15. f

    Fresenius Medical Care | Health Data | Healthcare & Pharmaceuticals Data

    • datastore.forage.ai
    Updated Nov 14, 2024
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    (2024). Fresenius Medical Care | Health Data | Healthcare & Pharmaceuticals Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=healthcare-and-pharmaceuticals
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    Dataset updated
    Nov 14, 2024
    Description

    Fresenius Medical Care is a leading provider of kidney care and renal therapy, dedicated to improving the lives of people worldwide affected by chronic kidney disease. The company offers patients treatments, develops innovative technologies, and supports physicians to advance the future of renal care through research. With its comprehensive range of equipment, supplies, and renal pharmaceuticals, Fresenius Medical Care is committed to delivering high-quality care with empathy and innovation.

    The company's mission is to provide complete and comprehensive kidney care, encompassing kidney dialysis, vascular access care, renal pharmacy, and laboratory and diagnostic services. Fresenius Medical Care's portfolio includes dialysis machines, reverse osmosis systems, dialyzers, dialysate, and prescription drugs, as well as offering patient care, support, and education resources. With a global presence and a strong commitment to patient care, Fresenius Medical Care is a trusted partner for healthcare professionals and patients alike.

  16. A

    Pharmacies

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +2more
    Updated Jul 30, 2019
    + more versions
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    United States[old] (2019). Pharmacies [Dataset]. https://data.amerigeoss.org/it/dataset/pharmacies
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    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    License

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

    Description

    Pharmacies in the United States and Territories A pharmacy is a facility whose primary function is to store, prepare and legally dispense prescription drugs under the professional supervision of a licensed pharmacist. It meets any licensing or certification standards set forth by the jurisdiction where it is located. This geospatial dataset includes pharmacies in the United States, as well as the territories of American Samoa, Guam, Puerto Rico, the Commonwealth of the Northern Mariana Islands, and the Virgin Islands. The tabular data was gathered from the National Plan and Provider Enumeration System (NPPES) dataset. Pharmacies that were verified to service only animal populations were excluded from the dataset. The currentness of this dataset is indicated by the [CONTDATE] field. Based on this field the oldest record dates from 03/30/2010 and the newest record dates from 10/25/2010.

  17. H

    Healthcare EDI Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 22, 2025
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    Market Report Analytics (2025). Healthcare EDI Market Report [Dataset]. https://www.marketreportanalytics.com/reports/healthcare-edi-market-87829
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Healthcare EDI (Electronic Data Interchange) market is experiencing robust growth, projected to reach $4.28 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 10.33% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of electronic health records (EHRs) and the need for seamless data exchange between healthcare providers, payers, and pharmaceutical companies are major catalysts. Government regulations mandating electronic transactions and the rising focus on improving interoperability and reducing administrative costs further fuel market growth. The shift towards value-based care models necessitates efficient data exchange for streamlined claims processing and improved patient outcomes, contributing significantly to market expansion. Technological advancements such as cloud-based EDI solutions and mobile EDI are also simplifying data exchange and enhancing accessibility, thereby boosting market adoption. The market segmentation reveals a strong demand across various components (software, hardware, and services), transaction types (claim management, supply chain management), delivery modes (web/cloud-based, VAN, mobile), and end-users (healthcare providers, medical device companies, pharmaceutical companies). North America currently holds a significant market share, driven by high technological adoption and established healthcare infrastructure. However, rapidly developing economies in Asia-Pacific and other regions are expected to witness substantial growth in the coming years. The competitive landscape is characterized by a mix of established players and emerging technology providers. Companies like Allscripts, Cognizant, McKesson, and Optum are key market participants, leveraging their expertise in healthcare IT and data management. The market's future growth hinges on continued technological advancements, regulatory support, and the increasing focus on data security and compliance. The integration of artificial intelligence and machine learning is anticipated to further enhance the efficiency and capabilities of EDI solutions in healthcare, leading to improved data analytics and predictive capabilities. While challenges remain, such as data security concerns and the need for interoperability standards, the overall outlook for the Healthcare EDI market remains positive, promising sustained growth throughout the forecast period. Recent developments include: November 2023 - qBotica Inc. announced its strategic investment in Healthomation Inc., a healthcare automation firm, to further its offerings and expand its reach within the healthcare sector. This strategic investment will facilitate the development of advanced automation solutions combining RPA and EDI that can drive efficiency, accuracy, integrations, and consistency in healthcare processes, from administrative tasks to patient care., September 2023 - Ontrak Health, an AI-powered and telehealth-enabled healthcare firm, announced the successful deployment of the Axiom Systems TransSend Core EDI Gateway. This innovative solution simplifies managing the electronic data interchange (EDI) exchanges with trading partners while complying with federal regulations, requirements, and best practices in the industry.. Key drivers for this market are: Adoption of Big Data in Healthcare, Rising Need of Controlling the Healthcare Costs; Government Support to Increase the Information Technology in Healthcare Services. Potential restraints include: Adoption of Big Data in Healthcare, Rising Need of Controlling the Healthcare Costs; Government Support to Increase the Information Technology in Healthcare Services. Notable trends are: Adoption of Big Data in Healthcare.

  18. w

    US Pharmacies

    • data.wu.ac.at
    Updated Mar 2, 2016
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    HIFLD (2016). US Pharmacies [Dataset]. https://data.wu.ac.at/schema/data_opendatasoft_com/dXMtcGhhcm1hY2llc0BwdWJsaWMtdXM=
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    json, xls, kml, csv, application/vnd.geo+jsonAvailable download formats
    Dataset updated
    Mar 2, 2016
    Dataset provided by
    HIFLD
    License

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

    Description

    This dataset represents pharmacies in the United States and Territories. A pharmacy is a facility whose primary function is to store, prepare and legally dispense prescription drugs under the professional supervision of a licensed pharmacist. It meets any licensing or certification standards set forth by the jurisdiction where it is located. This geospatial dataset includes pharmacies in the United States, as well as the territories of American Samoa, Guam, Puerto Rico, the Commonwealth of the Northern Mariana Islands, and the Virgin Islands. The tabular data was gathered from the National Plan and Provider Enumeration System (NPPES) dataset. Pharmacies that were verified to service only animal populations were excluded from the dataset. The currentness of this dataset is indicated by the [CONTDATE] field. Based on this field the oldest record dates from 03/30/2010 and the newest record dates from 10/25/2010.

  19. Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing...

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated May 6, 2025
    + more versions
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    Centers for Medicare & Medicaid Services (2025). Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information [Dataset]. https://catalog.data.gov/dataset/quarterly-prescription-drug-plan-formulary-pharmacy-network-and-pricing-information
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    Dataset updated
    May 6, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information files contain formulary, pharmacy network, and pricing data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). Notice: CMS has identified an issue that resulted in a 15% coinsurance for plans with Defined Standard benefits to be listed rather than a 25% coinsurance in the Beneficiary Cost File under certain scenarios. This issue affected the 2023 Q4 to 2024 Q3 data. CMS will re-post the corrected data in batches between now and May 2025. These non-identifiable files are available on a quarterly basis and are comprised of the following tables: Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type. Geographic Locator - MA and Prescription Drug Plans region codes and county codes. Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, and prior authorization. Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only). Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies. Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators. Pricing - Plan level average monthly costs for formulary Part D drugs (note: this table is only available in the quarterly files). Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan. Insulin Beneficiary Cost File - Plan level cost sharing details for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information is also available to access for the monthly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2024 data is available in the fourth quarter file of 2023. Year 2024 data continues to be available in the Q1-Q3 2024 files, then in the fourth quarter of 2024 year 2025 data becomes available. Estimated release dates for upcoming 2025 quarterly data (files reflect data for the quarter that ended the month before the file was released): 4/23/25 7/30/25 Files older than contract year 2019 can be purchased.

  20. v

    Healthcare Data Analytics Market Size By Type (Descriptive, Predictive,...

    • verifiedmarketresearch.com
    pdf,excel,csv,ppt
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    Verified Market Research, Healthcare Data Analytics Market Size By Type (Descriptive, Predictive, Prescriptive), By Application (Clinical Analytics, Financial Analytics, Operational Analytics), By Component (Software, Services, Hardware), By Deployment (On-premises, Cloud-based), By End-Users (Hospitals And Clinics, Healthcare Payers, Pharmaceutical And Biotechnology Companies, Research Institutions And Academia, Government Agencies, Healthcare IT Vendors) And Region For 2026-2032 [Dataset]. https://www.verifiedmarketresearch.com/product/healthcare-data-analytics-market/
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Verified Market Research
    License

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

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Healthcare Data Analytics Market size was valued at USD 32.87 Billion in 2024 and is projected to reach USD 173.57 Billion by 2032, growing at a CAGR of 23.12% during the forecasted period 2026 to 2032.

    The healthcare data analytics market is driven by the increasing need to enhance patient care quality, reduce healthcare costs, and streamline operations within healthcare facilities. With the growing volume of patient data generated from electronic health records (EHRs), wearable devices, and telemedicine, healthcare providers seek advanced analytics to gain actionable insights, improve patient outcomes, and optimize resource allocation. Government regulations promoting data-driven healthcare and value-based care models further accelerate adoption. Additionally, advancements in artificial intelligence (AI) and machine learning (ML) enable predictive analytics, aiding in early diagnosis, personalized treatment plans, and efficient disease management, which are crucial in an aging population.

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Grepsr (2022). Health Care Provider (HCP) Data | Physicians Data, Hospital Data | Global Coverage | Pharmaceutical Sales Targeting [Dataset]. https://datarade.ai/data-products/healthcare-provider-professional-data-grepsr-grepsr-6c13

Health Care Provider (HCP) Data | Physicians Data, Hospital Data | Global Coverage | Pharmaceutical Sales Targeting

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
May 9, 2022
Dataset authored and provided by
Grepsr
Area covered
United Arab Emirates, Kenya, Central African Republic, Mexico, Samoa, Virgin Islands (U.S.), Rwanda, Cayman Islands, Uruguay, United States of America
Description

Healthcare Provider/Professional Data contains the data of individual providers and facilities, including their information about opening hours, insurance networks, specialties, NPI, etcetera. In addition to discovering data sources, merging data, running analytics, and receiving decision-making guidance, the bigger problem is responding to marketplace business and patient care demands in a timely manner. Pharmacy contains the location details of pharmacies and has attributes such as addresses, opening hours, facilities, etcetera.

A. Usecase/Applications possible with the data:

a. Provider network data systems (PNDS) - The primary goal of the PNDS is to collect data needed to evaluate provider networks, which include physicians, hospitals, labs, home health agencies, durable medical equipment providers, and so on, for all types of Health Insurers. Such information can be used to:

b. Find health care providers in my network - Use this directory to easily find other providers in my network.

c. Comprehensive services assessment - Determine whether insurers have contracted with a sufficient number of primary care practitioners, clinical specialists, and service facilities (hospitals, labs, etc.) within the insurer's service area.

d. Capacity analysis - Calculate the potential capacity of a managed care plan’s primary care providers.

e. Locate pharmacies in your local areas.

f. Support Employee Benefits Decisions - Having access to network data can help you make better decisions about which providers to use for Employee Medical Benefits.

g. Know about the facilities available across different pharmacies.

How does it work?

  • Analyze sample data
  • Customize parameters to suit your needs
  • Add to your projects
  • Contact support for further customization
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