100+ datasets found
  1. Office-based Health Care Providers Database

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Oct 3, 2023
    + more versions
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    HealthIT.gov (2023). Office-based Health Care Providers Database [Dataset]. https://healthdata.gov/w/f4ft-zm4p/default?cur=uEZe_Ng4RF
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    application/rssxml, csv, application/rdfxml, xml, tsv, jsonAvailable download formats
    Dataset updated
    Oct 3, 2023
    Description

    ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.

  2. d

    US Consumer Prescription Medicine Leads | Consumer Medical Data | Healthcare...

    • datarade.ai
    .csv
    Updated Nov 1, 2022
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    Data Scout Inc. (2022). US Consumer Prescription Medicine Leads | Consumer Medical Data | Healthcare Consumer Database [Dataset]. https://datarade.ai/data-products/us-consumer-prescription-medicine-leads-consumer-medical-da-data-scout-inc
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    .csvAvailable download formats
    Dataset updated
    Nov 1, 2022
    Dataset authored and provided by
    Data Scout Inc.
    Area covered
    United States of America
    Description

    Our highly-targeted consumer healthcare database includes:

    🗸 Name 🗸 Postal Address, Email Address, Telephone Number 🗸 Age, Gender 🗸 Most likely to ask a Doctor About an Advertised Prescription Medicine 🗸 Most likely looked for Medical Information on the Web 🗸 Most Likely to Prefer Brand Name Medicines 🗸 Most Likely to Buy Prescriptions through the Mail

    The dataset is available for purchase by US region: 🗸 New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) 🗸 Middle Atlantic (New Jersey, New York, and Pennsylvania) 🗸 East North Central (Illinois, Indiana, Michigan, Ohio, and Wisconsin) 🗸 West North Central (Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota) 🗸 South Atlantic (Delaware; Florida; Georgia; Maryland; North Carolina; South Carolina; Virginia; Washington, D.C. and West Virginia) 🗸 East South Central (Alabama, Kentucky, Mississippi, and Tennessee) 🗸 West South Central (Arkansas, Louisiana, Oklahoma, and Texas) 🗸 Mountain (Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming) 🗸 Pacific (Alaska, California, Hawaii, Oregon, and Washington)

  3. Big Data in Healthcare Market Size | Industry Trends 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 30, 2025
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    Mordor Intelligence (2025). Big Data in Healthcare Market Size | Industry Trends 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/big-data-healthcare
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Big Data in Healthcare Market Report is Segmented by Component (Software, Services), Deployment (On-Premise, Cloud), Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Application (Financial Analytics, and More), End User (Healthcare Providers, and More), and Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

  4. Projected growth in global healthcare data volume 2020

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Projected growth in global healthcare data volume 2020 [Dataset]. https://www.statista.com/statistics/1037970/global-healthcare-data-volume/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The amount of global healthcare data is expected to increase dramatically by the year 2020. Early estimates from 2013 suggest that there were about 153 exabytes of healthcare data generated in that year. However, projections indicate that there could be as much as 2,314 exabytes of new data generated in 2020.

  5. Data from: Medical Database

    • infinity-db.co.uk
    xlsx
    Updated Feb 10, 2023
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    Infinity Databank (2023). Medical Database [Dataset]. https://infinity-db.co.uk/nhs-medical-database/
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    xlsxAvailable download formats
    Dataset updated
    Feb 10, 2023
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    Our NHS medical database contains named medical and clinical specialists, and holds verified doctors email addresses, for targeted medical research and clinical marketing.

  6. Number of large-scale data breaches in the U.S. healthcare industry...

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). Number of large-scale data breaches in the U.S. healthcare industry 2009-2024 [Dataset]. https://www.statista.com/statistics/1274594/us-healthcare-data-breaches/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Between January and September 2024, healthcare organizations in the United States saw 491 large-scale data breaches, resulting in the loss of over 500 records. This figure has increased significantly in the last decade. To date, the highest number of large-scale data breaches in the U.S. healthcare sector was recorded in 2023, with a reported 745 cases.

  7. Healthcare Data Monetization Market Size, Growth & Share Analysis 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 7, 2025
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    Mordor Intelligence (2025). Healthcare Data Monetization Market Size, Growth & Share Analysis 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/healthcare-data-monetization-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Healthcare Data Monetization Market Report is Segmented by Type (Direct and Indirect), Deployment (On-Premises, Cloud), Application (Population Health Management, Drug Discovery & Development, and More), End User (Pharmaceutical & Biotechnology Companies, and More), Pricing Model (Subscription/Licensing, and More)), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

  8. E

    The French National Healthcare Data System

    • healthinformationportal.eu
    html
    Updated Jan 17, 2023
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    Directorate of Research, Studies, Evaluation and Statistics (DREES), La Caisse Nationale d’Assurance Maladie et de Travailleurs Salariés (CNAMTS), Institut national de la santé et de la recherche médicale (INSERM), Agence technique pour l’information sur l’hospitalisation (ATIH), Institut National des Données de Santé (INDS) (2023). The French National Healthcare Data System [Dataset]. https://www.healthinformationportal.eu/national-node/france/sources
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    htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset authored and provided by
    Directorate of Research, Studies, Evaluation and Statistics (DREES), La Caisse Nationale d’Assurance Maladie et de Travailleurs Salariés (CNAMTS), Institut national de la santé et de la recherche médicale (INSERM), Agence technique pour l’information sur l’hospitalisation (ATIH), Institut National des Données de Santé (INDS)
    License

    https://www.snds.gouv.fr/SNDS/Processus-d-acces-aux-donneeshttps://www.snds.gouv.fr/SNDS/Processus-d-acces-aux-donnees

    Area covered
    France
    Variables measured
    title, topics, acronym, country, language, data_owners, description, free_keywords, alternative_title, access_information, and 6 more
    Measurement technique
    Multiple sources
    Description

    The National Health Data System (SNDS) will make it possible to link:

    • health insurance data (SNIIRAM database);
    • hospital data (PMSI database);
    • the medical causes of death (base of the CépiDC of Inserm);
    • disability-related data (from MDPH - CNSA data);
    • a sample of data from complementary health insurance organisations.

    The first two categories of data are already available and constitute the first version of the SNDS. The medical causes of death should feed the SNDS from the second half of 2017. The first data from the CNSA will arrive from 2018 and the sample of complementary organizations in 2019.

    The purpose of the SNDS is to make these data available in order to promote studies, research or evaluations of a nature in the public interest and contributing to one of the following purposes:

    • health information;
    • the implementation of health policies;
    • knowledge of health expenditure;
    • informing professionals and establishments about their activities;
    • innovation in the fields of health and medico-social care;
    • monitoring, surveillance and health security.
  9. EMRBots: a 100,000-patient database

    • figshare.com
    zip
    Updated Sep 3, 2018
    + more versions
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    Uri Kartoun (2018). EMRBots: a 100,000-patient database [Dataset]. http://doi.org/10.6084/m9.figshare.7040198.v1
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    zipAvailable download formats
    Dataset updated
    Sep 3, 2018
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Uri Kartoun
    License

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

    Description

    A 100,000-patient database that contains in total 100,000 virtual patients, 361,760 admissions, and 107,535,387 lab observations.

  10. D

    Healthcare Provider Data Management Solution Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Healthcare Provider Data Management Solution Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-healthcare-provider-data-management-solution-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Healthcare Provider Data Management Solution Market Outlook



    The global Healthcare Provider Data Management Solution market size was valued at approximately USD 3.2 billion in 2023 and is expected to reach around USD 8.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This robust growth can be attributed to the increasing volume of healthcare data generated, the rising need for efficient data management systems, and the growing emphasis on improving patient outcomes and operational efficiency.



    One of the primary growth factors driving the Healthcare Provider Data Management Solution market is the surge in healthcare data generation. The proliferation of electronic health records (EHRs), wearables, and other digital health tools has led to an exponential increase in the volume of healthcare data. This data, encompassing patient history, diagnostic information, treatment plans, and more, requires efficient management systems to ensure its accessibility, accuracy, and security. Additionally, the integration of data from various sources facilitates better patient care and informed decision-making, further driving the demand for advanced data management solutions.



    Another significant growth factor is the ongoing digital transformation within the healthcare sector. Organizations are increasingly adopting advanced technologies such as artificial intelligence, machine learning, and big data analytics to enhance their data management capabilities. These technologies enable healthcare providers to derive actionable insights from vast datasets, optimize operational processes, and improve patient outcomes. Moreover, the implementation of cloud-based solutions offers scalability, flexibility, and cost-efficiency, making it an attractive option for healthcare providers of all sizes.



    Furthermore, regulatory requirements and data privacy concerns are fueling the adoption of healthcare provider data management solutions. Governments and regulatory bodies across the globe have introduced stringent regulations to ensure the security and confidentiality of patient data. Compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe necessitates the use of robust data management systems. These solutions help healthcare providers maintain compliance, avoid penalties, and build trust with patients.



    The regional outlook for the Healthcare Provider Data Management Solution market is also promising. North America holds a significant share of the market, driven by the advanced healthcare infrastructure, high adoption rate of digital technologies, and favorable government initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the expanding healthcare sector, increasing investments in healthcare IT, and growing awareness about the benefits of data management solutions. Europe, Latin America, and the Middle East & Africa are also anticipated to experience substantial growth, supported by ongoing digital transformation efforts and regulatory developments.



    The integration of a Healthcare CRM Solution is becoming increasingly vital in the healthcare industry. As healthcare providers strive to enhance patient engagement and streamline communication, CRM solutions offer a comprehensive platform to manage patient interactions and data. These solutions facilitate personalized communication, enabling providers to deliver tailored healthcare experiences. By leveraging CRM systems, healthcare organizations can improve patient satisfaction, foster loyalty, and ultimately drive better health outcomes. Additionally, CRM solutions support the coordination of care by integrating with existing healthcare systems, ensuring that patient information is readily accessible and up-to-date. As the demand for patient-centered care grows, the adoption of Healthcare CRM Solutions is expected to rise, offering significant benefits to both providers and patients.



    Component Analysis



    In the Healthcare Provider Data Management Solution market, the component segment is bifurcated into software and services. The software segment encompasses various data management tools and platforms designed to streamline data collection, storage, and analysis. These software solutions are integral in managing patient records, financial data, and operational metrics. The increasi

  11. M

    Healthcare Customer Data Platform Market to Reach US$ 7.8 Billion by 2034

    • media.market.us
    Updated Jul 28, 2025
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    Market.us Media (2025). Healthcare Customer Data Platform Market to Reach US$ 7.8 Billion by 2034 [Dataset]. https://media.market.us/healthcare-customer-data-platform-market-news/
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    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    United States
    Description

    Overview

    New York, NY – July 28, 2025 – The Healthcare Customer Data Platform Market Size is expected to be worth around US$ 7.8 billion by 2034 from US$ 0.7 billion in 2024, growing at a CAGR of 27.2% during the forecast period 2025 to 2034.

    Healthcare Customer Data Platforms (CDPs) are redefining how healthcare organizations collect, unify, and activate patient data to enhance care delivery, operational efficiency, and population health management. These platforms serve as centralized systems that aggregate structured and unstructured data from various sources including electronic health records (EHRs), claims, wearables, CRM systems, and third-party applications to build a real-time, 360-degree view of each patient.

    By enabling data standardization and identity resolution, CDPs support healthcare providers, payers, and life sciences organizations in delivering personalized experiences across digital and physical touchpoints. Key capabilities include advanced segmentation, predictive analytics, consent management, and HIPAA-compliant data governance.

    As healthcare shifts toward value-based care and digital engagement, CDPs are becoming critical for improving patient outreach, reducing care gaps, and driving preventive strategies. According to the Office of the National Coordinator for Health Information Technology (ONC), over 85% of hospitals in the U.S. use EHRs, highlighting the urgent need for platforms that unify and activate this vast data.

    https://sp-ao.shortpixel.ai/client/to_auto,q_lossy,ret_img,w_1216,h_708/https://market.us/wp-content/uploads/2025/05/Healthcare-Customer-Data-Platform-Market-Size.jpg" alt="Healthcare Customer Data Platform Market Size" class="wp-image-149255">

    Healthcare CDPs also facilitate interoperability, helping meet regulatory mandates around patient access and data sharing. With rising consumer expectations and regulatory pressures, the adoption of CDPs is expected to accelerate, positioning them as foundational infrastructure for patient-centered, data-driven healthcare transformation.

  12. Healthcare Information Systems Market Analysis, Size, and Forecast 2025-2029...

    • technavio.com
    pdf
    Updated Oct 9, 2025
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    Technavio (2025). Healthcare Information Systems Market Analysis, Size, and Forecast 2025-2029 : North America (US, Canada, and Mexico), Europe (Germany, UK, France, The Netherlands, Italy, and Spain), APAC (China, Japan, India, South Korea, Thailand, and Indonesia), South America (Brazil, Argentina, and Chile), Middle East and Africa (UAE, South Africa, and Egypt), Asia, Rest of World (ROW) [Dataset]. https://www.technavio.com/report/healthcare-information-systems-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 9, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Canada, United States
    Description

    Snapshot img { margin: 10px !important; } Healthcare Information Systems Market Size 2025-2029

    The healthcare information systems market size is forecast to increase by USD 142.3 billion, at a CAGR of 9.8% between 2024 and 2029.

    The global healthcare information systems market is primarily shaped by regulatory mandates requiring advanced digital solutions to break down data silos and improve care coordination. This drives the adoption of compliant electronic health records and healthcare interoperability solution market technologies. The strategic shift toward cloud-based deployment and SaaS models further redefines healthcare it, offering a more scalable and cost-effective operational paradigm. This trend emphasizes the need for systems that support decentralized care delivery and remote patient monitoring tools, transforming how healthcare services are accessed and managed across different settings. The evolution of these systems is critical for enhancing both operational efficiency and patient outcomes.The migration to cloud architectures, while offering significant benefits, introduces the formidable challenge of sophisticated cybersecurity threats. This constant operational and financial drain necessitates immense ongoing investment in defensive measures and incident response planning to protect sensitive medical information. The interconnected nature of modern healthcare services market ecosystems, from the hospital information system to pharmacy information systems, creates a large and attractive attack surface for malicious actors. This makes robust cybersecurity in healthcare a primary consideration for providers as they invest in new healthcare analytics platforms and other digital tools to support patient care.

    What will be the Size of the Healthcare Information Systems Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe hospital information system and pharmacy information systems are evolving through healthcare it initiatives that prioritize data aggregation and integration. The move toward value-based care models necessitates robust healthcare analytics and clinical workflow optimization. The healthcare cloud computing market is enabling this shift by providing scalable infrastructure for managing patient-generated health data and supporting ehealth software and services market platforms, ensuring data is accessible and actionable across the care continuum.The integration of generative AI and predictive analytics is transforming clinical decision support systems within the broader healthcare information systems market. However, effective data migration and overcoming interoperability hurdles remain critical for success. Ensuring robust cybersecurity in healthcare is essential for protecting patient data access across telemedicine platforms and mobile health applications. The efficacy of population health management systems ultimately hinges on seamless health information exchange and the universal adoption of standardized data formats like FHIR.

    How is this Healthcare Information Systems Industry segmented?

    The healthcare information systems industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. ApplicationRevenue cycle managementHospital information systemMedical imaging information systemPharmacy information systemsLaboratory information systemsTechnologyEHRsEMRsMobile healthTelemedicine platformsPopulation health management systemsComponentSoftwareServicesHardwareGeographyNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceThe NetherlandsItalySpainAsiaRest of World (ROW)

    By Application Insights

    The revenue cycle management segment is estimated to witness significant growth during the forecast period.Revenue cycle management systems represent a significant application segment, focused on managing financial workflows from patient registration to final payment collection. These platforms integrate clinical and administrative data to streamline claims processing automation, manage denials, and optimize coding accuracy optimization. The increasing complexity of modern reimbursement models and the fundamental shift toward value-based care are primary drivers for the adoption of these advanced financial visibility tools across healthcare organizations.Rising patient financial responsibility also necessitates integrated features such as payment estimation tools and flexible payment portals. The criticality of resilient RCM systems was recently highlighted by a major cybersecurity incident that disrupted operations for thousands of providers. This event has accelerated investments in secure, cloud-based solutions with embedded AI for p

  13. Healthcare Payments Data (HPD) Medical Out-of-Pocket Costs and Chronic...

    • data.chhs.ca.gov
    • healthdata.gov
    • +2more
    pdf, xlsx, zip
    Updated Mar 20, 2025
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    Department of Health Care Access and Information (2025). Healthcare Payments Data (HPD) Medical Out-of-Pocket Costs and Chronic Conditions [Dataset]. https://data.chhs.ca.gov/dataset/healthcare-payments-data-hpd-medical-out-of-pocket-costs-and-chronic-conditions
    Explore at:
    xlsx(10729), xlsx(1566260), pdf(201419), zipAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    This dataset contains data for the Healthcare Payments Data (HPD): Medical Out-of-Pocket Costs and Chronic Conditions report. The data covers three measurement categories: annual member count, annual median out-of-pocket count, annual median claim count. The annual member count quantify the number of unique individuals who received at least one medical service in the reporting year. Annual median out-of-pocket measurements quantifies the sum of copay, coinsurance, and deductible incurred by members. Annual median claim count measurements quantifies the number of distinct claims or encounters associated with members. Both 25th and 75th percentiles for out-of-pocket cost and claim count are also included. Measures are grouped by payer types, chronic conditions flag, chronic condition types, and chronic condition numbers.

  14. Healthcare Cost and Utilization Project (HCUP) Summary Trends Tables

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Jul 25, 2025
    + more versions
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2025). Healthcare Cost and Utilization Project (HCUP) Summary Trends Tables [Dataset]. https://catalog.data.gov/dataset/healthcare-cost-and-utilization-project-hcup-summary-trends-tables
    Explore at:
    Dataset updated
    Jul 25, 2025
    Description

    The HCUP Summary Trend Tables include monthly information on hospital utilization derived from the HCUP State Inpatient Databases (SID) and HCUP State Emergency Department Databases (SEDD). Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD. The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics: Overview of monthly trends in inpatient and emergency department utilization All inpatient encounter types Inpatient stays by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Inpatient encounter type -Normal newborns -Deliveries -Non-elective inpatient stays, admitted through the ED -Non-elective inpatient stays, not admitted through the ED -Elective inpatient stays Inpatient service line -Maternal and neonatal conditions -Mental health and substance use disorders -Injuries -Surgeries -Other medical conditions Emergency department treat-and-release visits Emergency department treat-and-release visits by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Description of the data source, methodology, and clinical criteria

  15. Healthcare Payments Data (HPD) Healthcare Measures

    • data.chhs.ca.gov
    csv, pdf, zip
    Updated Aug 12, 2025
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    Department of Health Care Access and Information (2025). Healthcare Payments Data (HPD) Healthcare Measures [Dataset]. https://data.chhs.ca.gov/dataset/healthcare-payments-data-hpd-healthcare-measures
    Explore at:
    pdf(195607), csv(28599287), pdf(235155), csv(11049), csv(2088), pdf(293883), csv(41787067), zipAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    This dataset contains data for the Healthcare Payments Data (HPD) Healthcare Measures report. The data cover three measurement categories: Health conditions, Utilization, and Demographics. The health condition measurements quantify the prevalence of long-term illnesses and major medical events prominent in California’s communities like diabetes and heart failure. Utilization measures convey rates of healthcare system use through visits to the emergency department and different categories of inpatient stays, such as maternity or surgical stays. The demographic measures describe the health coverage and other characteristics (e.g., age) of the Californians included in the data and represented in the other measures. The data include both a count or sum of each measure and a count of the base population so that data users can calculate the percentages, rates, and averages in the visualization. Measures are grouped by year, age band, sex (assigned sex at birth), payer type, Covered California Region, and county.

  16. North America Healthcare Analytics Market - Size, Growth, Report & Trends...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Dec 11, 2024
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    Mordor Intelligence (2024). North America Healthcare Analytics Market - Size, Growth, Report & Trends Analysis [Dataset]. https://www.mordorintelligence.com/industry-reports/north-america-healthcare-analytics-market-industry
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    North America, United States
    Description

    The North America Healthcare Analytics Market report segments the industry into Technology Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics), Application (Clinical Data Analytics, Financial Data Analytics, Administrative Data Analytics), Component (Hardware, Software, Service), Mode Of Delivery (On-premise Model, Cloud- and Web-based Models), End Users (Healthcare Providers, and more), and Geography.

  17. G

    Healthcare Data Mesh Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). Healthcare Data Mesh Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/healthcare-data-mesh-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Healthcare Data Mesh Market Outlook



    According to our latest research, the global Healthcare Data Mesh market size reached USD 1.82 billion in 2024 and is expected to grow at a robust CAGR of 19.4% from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 8.98 billion, driven by the increasing need for decentralized data architecture, enhanced interoperability, and the growing adoption of advanced analytics in healthcare. The proliferation of digital health records and the demand for real-time, actionable insights are among the primary growth drivers shaping the landscape of the healthcare data mesh market.




    A significant growth factor for the healthcare data mesh market is the rapid digital transformation occurring across healthcare systems globally. With the exponential rise in healthcare data generated from electronic health records (EHRs), clinical trials, genomics, and patient monitoring devices, traditional centralized data architectures are struggling to scale efficiently. Healthcare data mesh offers a decentralized approach, allowing organizations to manage data as a product, enabling domain-oriented teams to own, share, and utilize data more effectively. This shift not only enhances data accessibility and quality but also accelerates the deployment of innovative healthcare solutions, such as personalized medicine and predictive analytics, thereby driving market growth.




    Another key driver is the increasing emphasis on interoperability and compliance with healthcare regulations. Regulatory frameworks such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe mandate stringent data privacy and security measures. Healthcare data mesh platforms are designed to facilitate secure data sharing across multiple domains and stakeholders while maintaining compliance with regulatory standards. This capability is crucial for organizations seeking to leverage data-driven insights without compromising patient privacy or breaching legal requirements, further propelling the adoption of data mesh architectures in healthcare.




    The integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and cloud computing is also significantly influencing the healthcare data mesh market. These technologies empower healthcare organizations to derive actionable insights from vast and complex datasets, improving clinical outcomes, operational efficiency, and patient experiences. The scalability and flexibility offered by data mesh architectures enable seamless integration with AI and ML tools, facilitating real-time analytics and fostering innovation. As healthcare providers increasingly recognize the value of data-driven decision-making, investment in data mesh solutions is expected to surge, fueling sustained market expansion.




    From a regional perspective, North America currently dominates the healthcare data mesh market, owing to its advanced healthcare infrastructure, significant investments in health IT, and a strong focus on data interoperability. However, Asia Pacific is witnessing the fastest growth, driven by the rapid digitalization of healthcare systems, expanding patient populations, and government initiatives to modernize healthcare data management. Europe also presents substantial opportunities, supported by robust regulatory frameworks and growing adoption of digital health technologies. As global healthcare organizations continue to prioritize data-centric strategies, the healthcare data mesh market is poised for remarkable growth across all major regions.





    Component Analysis



    The healthcare data mesh market by component is segmented into platforms, solutions, and services, each playing a critical role in the overall ecosystem. Platforms form the foundational layer, providing the necessary infrastructure for data mesh implementation. These platforms are designed to support decentralized data ownership, facilitate data discovery, and ensure seamless i

  18. Measures that would support utilizing data in healthcare worldwide in 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Measures that would support utilizing data in healthcare worldwide in 2022 [Dataset]. https://www.statista.com/statistics/1316677/factors-that-would-help-healthcare-data-utilization-worldwide/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2021 - Feb 2022
    Area covered
    Worldwide
    Description

    According to a survey conducted among healthcare leaders globally in February 2022, ** percent of respondents reported that gaining more clarity on how data is being used within their hospital/healthcare facility would support them to fully utilize the data available. Additionally, ** percent of respondents advised availability of data specialists to manage and analyze data would enable greater utilization.

  19. Sources of breached healthcare data in the U.S. 2023

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). Sources of breached healthcare data in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1274686/source-of-breached-healthcare-data-us/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    A 2023 report on data breaches in the healthcare system in the United States revealed that in most incidents, the leaked data was located in the network server, with almost 70 percent of data breaches indicating this location. The second-most common location of breached data was e-mail, with over 18 percent of the cases, followed by paper or films, with nearly six percent of the cases.

  20. Willingness to share health data in the U.S. 2020-2023, by stakeholder

    • statista.com
    • thefarmdosupply.com
    Updated May 15, 2025
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    Conor Stewart (2025). Willingness to share health data in the U.S. 2020-2023, by stakeholder [Dataset]. https://www.statista.com/topics/7992/it-in-healthcare/
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Conor Stewart
    Description

    According to a survey carried out in the United States in 2023, willingness to share health data dropped when compared to the same survey question asked in 2020 and 2022. In 2023, 64 percent of adults would share health data with a doctor or clinician, while in 2020, 72 percent of respondents were willing to share health data with doctors or clinicians.

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HealthIT.gov (2023). Office-based Health Care Providers Database [Dataset]. https://healthdata.gov/w/f4ft-zm4p/default?cur=uEZe_Ng4RF
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Office-based Health Care Providers Database

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application/rssxml, csv, application/rdfxml, xml, tsv, jsonAvailable download formats
Dataset updated
Oct 3, 2023
Description

ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.

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