64 datasets found
  1. T

    Accelerating Access to Care Initiative - Report 2014 June 19

    • datahub.va.gov
    • data.va.gov
    • +1more
    application/rdfxml +5
    Updated Sep 12, 2019
    + more versions
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    (2019). Accelerating Access to Care Initiative - Report 2014 June 19 [Dataset]. https://www.datahub.va.gov/dataset/Accelerating-Access-to-Care-Initiative-Report-2014/g7mp-yhbz
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    application/rssxml, xml, csv, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    VA is posting regular data updates showing progress on its efforts to accelerate access to quality health care for Veterans who have been waiting for appointments. These access data updates will be posted at the middle and end of each month at VA.gov. The facility-level data show the current status of VA's: 1) New Enrollee Appointment Request (NEAR) List: The total number of newly enrolled Veterans that have asked for an appointment during the enrollment process. Out of an abundance of caution, VA reviewed the NEAR data from the past decade to identify any individual who: has enrolled for care since the inception of enrollment, indicated they desired an appointment on the enrollment form, and has not yet had a scheduled appointment in the VHA health care system. 2) Electronic Wait List (EWL) Count: The total number of all new patients (those who have not been seen in the specific clinic in the previous 24 months) for whom appointments cannot be scheduled in 90 days or less; and 3) Total Appointments Scheduled: Every appointment scheduled at the facility except surgery and medical procedures.

  2. California Health and Human Services Open Data Portal

    • data.wu.ac.at
    csv, json, xml
    Updated Jun 1, 2017
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    State of California Health and Human Services Agency (2017). California Health and Human Services Open Data Portal [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/dmc5Ni1tcWo5
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    xml, json, csvAvailable download formats
    Dataset updated
    Jun 1, 2017
    Dataset provided by
    California Health and Human Services Agencyhttps://www.chhs.ca.gov/
    License

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

    Description

    The California Health and Human Services Agency (CHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making. "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data.

  3. c

    California Health And Human Services Open Data Portal - Sites - CKAN...

    • catalog.civicdataecosystem.org
    Updated Sep 2, 2011
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    (2011). California Health And Human Services Open Data Portal - Sites - CKAN Ecosystem Catalog [Dataset]. https://catalog.civicdataecosystem.org/dataset/california-health-and-human-services-open-data-portal
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    Dataset updated
    Sep 2, 2011
    Area covered
    California
    Description

    The California Health and Human Services Agency (CalHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making. "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data. The portal offers access to standardized data that can be easily retrieved, combined, downloaded, sorted, searched, analyzed, redistributed and re-used by individuals, business, researchers, journalists, developers, and government to process, trend, and innovate. The CalHHS Open Data Handbook provides guidelines to identify, review, prioritize and prepare publishable CalHHS data for access by the public via the CalHHS Open Data Portal – with a foundational emphasis on value, quality, data and metadata standards, and governance. This handbook is meant to serve as an internal resource and is also freely offered to any party that may be interested in improving the general public’s online access to data and to provide an understanding of the processes by which CalHHS makes its publishable data tables available. The handbook focuses on general guidelines and thoughtful processes but also provides linked tools/resources that operationalize those processes. The CalHHS Open Data Handbook is based on and builds upon the New York State Open Data Handbook, and we would like to acknowledge and thank the New York staff who created that document and made it available for public use. The role of the California Health and Human Services Agency is to provide policy leadership and direction to the departments and programs it oversees, to reduce duplication and fragmentation and improve coordination among the departments, to ensure programmatic integrity, and to advance the Governor's priorities on health and human services issues. The Agency coordinates the administration of state and federal programs for public health, health care services, social services, public assistance, health planning and licensing, and rehabilitation. These programs touch the lives of millions of California's most needy and vulnerable residents. The Agency is responsible for balancing the twin imperatives of providing access to essential health and human services for California's most disadvantaged and at-risk residents and managing and controlling costs. The following Departments and Offices are under the direct supervision of the California Health and Human Services Agency: The Agency Secretary also serves as Chair of Covered California, the health benefit exchange established pursuant to the Affordable Care Act. The CalHHS Open Data initiative encourages entrepreneurs, and civic coders and developers to use CalHHS data to create applications, products and services to better the health and lives of Californians. We are eager to hear from you how we can improve the portal and answer your questions, please send us an email at [email protected].

  4. Data from: Health Indicators Warehouse

    • healthdata.gov
    • data.colorado.gov
    • +1more
    application/rdfxml +5
    Updated Apr 8, 2025
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    data.colorado.gov (2025). Health Indicators Warehouse [Dataset]. https://healthdata.gov/State/Health-Indicators-Warehouse/7ent-8f7y
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    csv, application/rssxml, xml, application/rdfxml, tsv, jsonAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    data.colorado.gov
    Description

    Collection of health indicator data categorized by topic, geography, and initiative. For developers, the HIW provides access to the underlying data through the use of an Application Programming Interface (API) which is designed to present information to systems with disparate architectures and underlying technologies.

  5. AB Registration Completion List

    • healthdata.gov
    application/rdfxml +5
    Updated Oct 8, 2021
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    Data.Healthcare.gov (2021). AB Registration Completion List [Dataset]. https://healthdata.gov/CMS/AB-Registration-Completion-List/fq2d-ypk7
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    json, csv, tsv, application/rssxml, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 8, 2021
    Dataset provided by
    HealthCare.govhttps://www.healthcare.gov/
    Description

    Access Data Dictionary Here - Data Dictionary (PDF) Access Lines of Authority Here - NIPR Health Line of Authority

  6. u

    PATRON Primary Care Research Data Repository

    • figshare.unimelb.edu.au
    pdf
    Updated May 30, 2023
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    DOUGLAS BOYLE; LENA SANCI; Jon Emery; JANE GUNN; JANE HOCKING; JO-ANNE MANSKI-NANKERVIS; RACHEL CANAWAY (2023). PATRON Primary Care Research Data Repository [Dataset]. http://doi.org/10.26188/5c52934b4aeb0
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The University of Melbourne
    Authors
    DOUGLAS BOYLE; LENA SANCI; Jon Emery; JANE GUNN; JANE HOCKING; JO-ANNE MANSKI-NANKERVIS; RACHEL CANAWAY
    License

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

    Description

    PATRON is a human ethics approved program of research incorporating an enduring de-identified repository of Primary Care data facilitating research and knowledge generation. PATRON is a part of the 'Data for Decisions' initiative of the Department of General Practice, University of Melbourne. 'Data for Decisions' is a research initiative in partnership with general practices. It is an exciting undertaking that makes possible primary care research projects to increase knowledge and improve healthcare practices and policy. Principal Researcher: Jon EmeryData Custodian: Lena SanciData Steward: Douglas BoyleManager: Rachel CanawayMore information about Data for Decisions and utilising PATRON data is available from the Data for Decisions website.

  7. Big Data in Healthcare Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). Big Data in Healthcare Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/big-data-in-healthcare-market-global-industry-analysis
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Big Data in Healthcare Market Outlook




    According to our latest research, the global Big Data in Healthcare market size reached USD 41.2 billion in 2024, demonstrating robust expansion driven by the increasing adoption of advanced analytics and data-driven decision-making in the healthcare sector. The market is projected to grow at a CAGR of 17.4% from 2025 to 2033, reaching an estimated value of USD 154.1 billion by 2033. This significant growth is primarily attributed to the surging volume of healthcare data, advancements in artificial intelligence and machine learning, and the increasing focus on improving patient outcomes and operational efficiency across healthcare institutions worldwide.




    One of the primary growth factors fueling the Big Data in Healthcare market is the exponential rise in healthcare data generation, driven by the widespread adoption of electronic health records (EHRs), wearable devices, and connected medical equipment. As healthcare organizations seek to harness actionable insights from this data deluge, the demand for advanced analytics solutions has surged. The integration of big data analytics enables providers to enhance clinical decision-making, reduce medical errors, and optimize treatment protocols, thereby improving patient care and safety. Furthermore, the growing emphasis on value-based care models has compelled healthcare stakeholders to invest in robust data analytics platforms that can support population health management and evidence-based medicine, further accelerating market expansion.




    Another key driver of the Big Data in Healthcare market is the growing need for cost containment and operational efficiency within healthcare organizations. Rising healthcare costs, resource constraints, and the increasing complexity of healthcare delivery have prompted providers and payers to leverage big data analytics to streamline operations, reduce redundancies, and enhance resource allocation. Financial analytics applications, in particular, are witnessing substantial uptake as organizations strive to identify cost-saving opportunities, detect fraudulent claims, and improve revenue cycle management. Additionally, operational analytics solutions are being deployed to optimize supply chain management, workforce planning, and facility utilization, resulting in enhanced productivity and reduced overheads.




    The rapid advancement of artificial intelligence (AI), machine learning, and cloud computing technologies has also played a pivotal role in propelling the Big Data in Healthcare market forward. AI-driven analytics platforms are enabling healthcare providers to uncover hidden patterns in patient data, predict disease outbreaks, and personalize treatment plans based on individual patient profiles. The proliferation of cloud-based solutions has further democratized access to advanced analytics tools, allowing even small and medium-sized healthcare organizations to leverage big data capabilities without significant upfront investments in IT infrastructure. This technological evolution is expected to continue driving innovation and adoption across the global healthcare landscape.




    From a regional perspective, North America continues to dominate the Big Data in Healthcare market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The region's leadership is underpinned by robust healthcare IT infrastructure, high adoption rates of electronic health records, and strong government initiatives promoting data interoperability and healthcare digitization. Meanwhile, Asia Pacific is poised for the fastest growth during the forecast period, fueled by rapid healthcare modernization, expanding digital health initiatives, and increasing investments in healthcare analytics by both public and private sectors. As healthcare systems worldwide continue to prioritize data-driven transformation, the market's regional landscape is expected to evolve, with emerging economies playing an increasingly prominent role in shaping future growth trajectories.





    <h2 id='component-ana

  8. Electronic Medical Records Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). Electronic Medical Records Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/electronic-medical-records-market-global-industry-analysis
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Electronic Medical Records Market Outlook



    As per our latest research, the global Electronic Medical Records (EMR) market size reached USD 34.8 billion in 2024, reflecting robust adoption across healthcare systems worldwide. The market is poised for significant expansion with a projected CAGR of 7.3% from 2025 to 2033. By the end of 2033, the EMR market is forecasted to attain a value of approximately USD 65.8 billion. This impressive growth trajectory is primarily driven by the increasing digitalization of healthcare records, the need for improved patient care, and regulatory mandates for electronic data management in healthcare settings.



    One of the most crucial growth factors propelling the Electronic Medical Records market is the global push towards healthcare modernization and interoperability. Governments and healthcare organizations are heavily investing in digital infrastructure to streamline patient data management and enhance care coordination. Initiatives such as the United States’ Health Information Technology for Economic and Clinical Health (HITECH) Act and similar policies in Europe and Asia Pacific have accelerated the adoption of EMR systems. These regulations not only incentivize healthcare providers to adopt electronic records but also impose penalties for non-compliance, further fueling market expansion. The growing emphasis on patient-centric care, reduction of medical errors, and the need for real-time access to patient information are compelling hospitals and clinics to transition from paper-based to electronic systems.



    Another significant driver is the rapid advancement and integration of cutting-edge technologies within EMR platforms. Artificial Intelligence (AI), machine learning, and cloud computing are revolutionizing how patient data is captured, stored, and analyzed. These technologies are enabling predictive analytics, personalized medicine, and seamless data sharing across healthcare networks. The integration of telemedicine and remote patient monitoring solutions with EMR systems has also gained momentum, especially post-pandemic, as healthcare providers seek to offer virtual care without compromising on the quality or security of patient data. This technological evolution is not only enhancing the efficiency of healthcare delivery but is also making EMR solutions more scalable, secure, and user-friendly.



    Furthermore, the rising prevalence of chronic diseases and the aging global population are contributing to the growing demand for comprehensive and accessible patient records. Chronic disease management requires continuous monitoring and long-term care coordination, both of which are facilitated by robust EMR systems. The ability to track patient histories, medication adherence, and clinical outcomes over time is invaluable for healthcare providers aiming to deliver value-based care. Additionally, the growing need for data-driven decision-making in healthcare, driven by the shift towards outcomes-based reimbursement models, is further accelerating the adoption of EMR platforms. These trends collectively underscore the critical role of EMRs in shaping the future of global healthcare delivery.



    Regionally, North America continues to dominate the Electronic Medical Records market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The United States remains at the forefront due to its advanced healthcare infrastructure, favorable government policies, and high adoption rate of digital health technologies. Europe is experiencing steady growth, propelled by stringent data protection regulations and increasing investments in healthcare IT. Meanwhile, the Asia Pacific region is emerging as a lucrative market, driven by expanding healthcare access, government-led digital health initiatives, and a burgeoning patient population. Latin America and Middle East & Africa are witnessing gradual adoption, supported by efforts to modernize healthcare systems and improve patient outcomes.





    Component Analysis



    The Electronic Medical Records market is segmented by component

  9. H

    Health Information Exchange (HIE) Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 2, 2025
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    Data Insights Market (2025). Health Information Exchange (HIE) Report [Dataset]. https://www.datainsightsmarket.com/reports/health-information-exchange-hie-1454361
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The Health Information Exchange (HIE) market is experiencing robust growth, projected to reach $1349.2 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 10.9% from 2025 to 2033. This expansion is driven by several key factors. Increasing government mandates for interoperability and data sharing across healthcare systems are significantly boosting adoption. Furthermore, the rising prevalence of chronic diseases necessitates efficient data exchange for better patient care coordination and improved treatment outcomes. The shift towards value-based care models further incentivizes HIE adoption, as streamlined data access facilitates better care management and reduced healthcare costs. Technological advancements, such as cloud computing and AI-powered analytics integrated within HIE systems, enhance data security, improve efficiency, and enable more sophisticated data utilization for research and public health initiatives. The market is segmented by application (Directed Exchange, Query-based Exchange, Consumer-Mediated Exchange) and type (EHR Vendor-Mediated HIE, Non-EHR Vendor HIE), reflecting the diverse approaches to data exchange and the varying levels of vendor involvement. Competition among established players and emerging technology providers fuels innovation and enhances the overall market landscape. The geographical distribution of the HIE market reveals significant regional variations. North America, particularly the United States, currently holds a substantial market share, driven by advanced healthcare infrastructure and strong regulatory support. However, Europe and the Asia-Pacific region are demonstrating rapid growth, fueled by increasing healthcare expenditure, rising adoption of electronic health records, and government initiatives promoting digital health transformations. The competitive landscape includes both large established players like Health Level Seven International and regional HIE networks, creating a dynamic and competitive environment. Future growth will hinge on continued technological innovation, expansion into emerging markets, and the successful integration of HIE systems within national healthcare infrastructures. Addressing data security and privacy concerns remains crucial to fostering wider adoption and ensuring public trust.

  10. C

    Allegheny County Primary Care Access

    • data.wprdc.org
    • s.cnmilf.com
    • +2more
    csv, html
    Updated Jun 3, 2024
    + more versions
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    Allegheny County (2024). Allegheny County Primary Care Access [Dataset]. https://data.wprdc.org/dataset/allegheny-county-primary-care-facilities
    Explore at:
    html, csvAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset provided by
    Allegheny County
    License

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

    Area covered
    Allegheny County
    Description

    The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of hospitals and primary care facilities is managed by the Allegheny County Health Department and is used in internal reporting and shared for public use.

    Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

  11. M

    Health Information Exchange Market Set to Expand at 9.6% CAGR Through 2034

    • media.market.us
    Updated Jul 2, 2025
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    Market.us Media (2025). Health Information Exchange Market Set to Expand at 9.6% CAGR Through 2034 [Dataset]. https://media.market.us/health-information-exchange-hie-market-news/
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    Dataset updated
    Jul 2, 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
    Global
    Description

    Overview

    New York, NY – July 02, 2025 – Global Health Information Exchange (HIE) Market size is expected to be worth around US$ 5.8 Billion by 2034 from US$ 2.3 Billion in 2024, growing at a CAGR of 9.6% during the forecast period 2025 to 2034. In 2024, North America led the market, achieving over 37.9% share with a revenue of US$ 0.9 Billion.

    The global Health Information Exchange (HIE) market is experiencing significant growth as healthcare systems increasingly prioritize seamless data sharing to improve care coordination, patient safety, and population health outcomes. Health Information Exchange refers to the electronic movement of health-related data among organizations according to nationally recognized standards. It supports timely access to patient records across hospitals, clinics, laboratories, and public health agencies, facilitating informed clinical decisions and reducing duplication of services.

    Key drivers of HIE adoption include the rising demand for value-based care, increasing implementation of electronic health records (EHRs), and growing regulatory support from governments. Notable initiatives such as the U.S. 21st Century Cures Act and European eHealth frameworks mandate health data interoperability and reinforce the strategic relevance of HIE platforms.

    The market encompasses various models, including directed exchange, query-based exchange, and consumer-mediated exchange, each catering to specific data access needs. Cloud-based HIE solutions are witnessing rapid adoption due to their scalability and cost-efficiency.

    North America currently dominates the global HIE market due to advanced digital infrastructure, government incentives, and a robust healthcare IT ecosystem. However, Asia-Pacific is projected to register the fastest growth rate during the forecast period, driven by healthcare digitization initiatives and expanding healthcare access in emerging economies.

    https://sp-ao.shortpixel.ai/client/to_auto,q_lossy,ret_img,w_1220,h_720/https://market.us/wp-content/uploads/2025/06/Health-Information-Exchange-HIE-Market-Size.jpg" alt="Health Information Exchange (HIE) Market Size" class="wp-image-150390">

  12. a

    Children with Good or Excellent Community Access to Fresh Fruits and...

    • hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Dec 19, 2023
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    County of Los Angeles (2023). Children with Good or Excellent Community Access to Fresh Fruits and Vegetables [Dataset]. https://hub.arcgis.com/datasets/0db98f13c7e041a9ac4298723c9ef72f
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates).Easy community access to fresh fruits and vegetables is fundamental to promoting a healthy food environment.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  13. AB Suspension and Termination List

    • healthdata.gov
    application/rdfxml +5
    Updated Oct 8, 2021
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    Data.Healthcare.gov (2021). AB Suspension and Termination List [Dataset]. https://healthdata.gov/w/cfwz-9eam/default?cur=FFqsteqky0E
    Explore at:
    application/rdfxml, csv, application/rssxml, xml, json, tsvAvailable download formats
    Dataset updated
    Oct 8, 2021
    Dataset provided by
    HealthCare.govhttps://www.healthcare.gov/
    Description

    Access Data Dictionary Here - Data Dictionary (PDF)

  14. H

    Model Practice Database

    • dataverse.harvard.edu
    Updated Mar 2, 2011
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    Harvard Dataverse (2011). Model Practice Database [Dataset]. http://doi.org/10.7910/DVN/8TWVPL
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 2, 2011
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    Users can search for model or promising programs related to community health programs and initiatives. Topics include: access to care, health equity, immunization, mental health, primary care, cultural competence, and environmental health. BackgroundThe Model Practice Database is maintained by the National Association of County and City Health Officials (NACCHO). This database allows users to search for model or promising programs related to community health programs and initiatives. Topics include, but are not limited to: access to care, health equity, immunization, mental health, primary care, cultural competence, and environmental health. User FunctionalityUsers can search for model or promising programs by state or category. Users can view details regarding model programs, contact information for the respective program, and a link to the program webpage, if applicable. Data NotesThe program overview, program details (i.e., agency and community roles, innovation, expenditures, implementation, sustainability and lessons learned), and program contact information are provided for each model program. The year in which the program overview was submitted is indicated with the program summary.Most recent program overviews were submitted in 2009. Programs throughout the United States are included.

  15. d

    Repository URL

    • datadiscoverystudio.org
    resource url
    Updated 2015
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    (2015). Repository URL [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ffa547efb8be430d8cc71db4793c286e/html
    Explore at:
    resource urlAvailable download formats
    Dataset updated
    2015
    Area covered
    Description

    Link Function: information

  16. Blockchain in Healthcare Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). Blockchain in Healthcare Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/blockchain-in-healthcare-market-global-industry-analysis
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Blockchain in Healthcare Market Outlook



    According to our latest research, the global Blockchain in Healthcare market size reached USD 2.2 billion in 2024, reflecting robust adoption across healthcare systems worldwide. The market is projected to register a remarkable CAGR of 39.4% from 2025 to 2033, culminating in a forecasted market size of USD 37.3 billion by 2033. This exponential growth is primarily driven by the increasing demand for data security, interoperability, and transparency in healthcare operations, as blockchain technology continues to address longstanding challenges in the sector.



    The primary growth factor for the Blockchain in Healthcare market is the urgent need for enhanced data security and privacy. With the proliferation of digital health records and the increasing frequency of cyber-attacks targeting sensitive patient data, healthcare organizations are seeking robust solutions to safeguard information. Blockchain’s decentralized and immutable ledger offers a secure framework for storing and sharing medical data, thereby minimizing the risk of unauthorized access and data breaches. This security advantage is compelling hospitals, clinics, and payers to integrate blockchain into their IT infrastructure, especially as regulatory bodies worldwide enforce stricter data protection mandates.



    Another significant driver is the push for interoperability and streamlined data exchange across disparate healthcare systems. Traditional healthcare IT environments are often fragmented, leading to inefficiencies and errors in patient care. Blockchain enables seamless and standardized data sharing across multiple stakeholders, including hospitals, laboratories, insurers, and pharmaceutical companies. This interoperability not only enhances care coordination but also reduces administrative costs and duplication of efforts. Furthermore, blockchain’s ability to provide real-time updates and transparent audit trails is accelerating its adoption for clinical data exchange, claims management, and prescription tracking.



    Cost reduction and operational efficiency are also propelling the Blockchain in Healthcare market forward. By automating processes such as claims adjudication, billing management, and drug supply chain monitoring, blockchain eliminates intermediaries and reduces manual paperwork. This leads to faster transaction times, fewer errors, and significant cost savings for healthcare organizations. Additionally, the technology’s traceability features are being leveraged to combat counterfeit drugs and ensure the integrity of pharmaceutical supply chains. As healthcare providers and payers strive to optimize resources and improve patient outcomes, blockchain is emerging as a transformative enabler of digital health innovation.



    From a regional perspective, North America currently dominates the Blockchain in Healthcare market, accounting for over 45% of the global revenue in 2024. The region’s leadership is attributed to advanced healthcare IT infrastructure, supportive regulatory frameworks, and the presence of major blockchain solution providers. Europe and Asia Pacific are also witnessing rapid adoption, driven by government initiatives to promote healthcare digitalization and rising investments in blockchain startups. Latin America and the Middle East & Africa are gradually catching up, with pilot projects and collaborations underway to explore blockchain’s potential in enhancing healthcare delivery and access.





    Component Analysis



    The Blockchain in Healthcare market by component is primarily segmented into Platform and Services. The platform segment encompasses the core blockchain infrastructure and software solutions that enable secure data exchange, smart contract execution, and decentralized application development. This segment holds the largest market share, as healthcare organizations prioritize the deployment of robust blockchain platforms to underpin their digital transformation initiatives. Leading vendors are continuously enhancing their platforms with advanced features such as

  17. a

    Children with Easy Access to a Safe Place to Play

    • ph-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Dec 19, 2023
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    County of Los Angeles (2023). Children with Easy Access to a Safe Place to Play [Dataset]. https://ph-lacounty.hub.arcgis.com/datasets/children-with-easy-access-to-a-safe-place-to-play/about
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    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on caregiver report.Parks, playgrounds, and other safe places are vital community assets that provide spaces where children can engage in physical activity and build critical cognitive, social, and emotional skills through peer interactions and play. They also serve as spaces where all members of a community can gather and socialize, thereby promoting community cohesion.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  18. California Medical Fee-for-Service

    • kaggle.com
    Updated Jan 9, 2023
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    The Devastator (2023). California Medical Fee-for-Service [Dataset]. https://www.kaggle.com/datasets/thedevastator/california-medi-cal-fee-for-service-provider-inf
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 9, 2023
    Dataset provided by
    Kaggle
    Authors
    The Devastator
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    California
    Description

    California Medical Fee-for-Service

    Geographic, Legal and Specialty Data for In-State and Out-of-State Providers

    By California Health and Human Services [source]

    About this dataset

    Welcome to the California Health and Human Services Agency's Open Data Portal! Here, you can explore and utilize information from one of the state's most valuable assets: the non-confidential data set of Medi-Cal Fee-for-Service (FFS) program providers.

    This dataset provides insight into Medi-Cal FFS enrollment. The information was retrieved from the Provider Master File (PMF), which is maintained by the Provider Enrollment Division (PED). With this dataset, you will gain insights into provider number, legal name, type description, specialty description and other geographical data points such as county code, attention line address parts , landmark coordinate points (longitude/latitude) and more!

    The goal with this Open Data Portal initiative is to empower Californians with:

    • Increased public access to high quality health & human service data;
    • Stemmed creativity & innovation in research;
    • The ability to make informed decisions about our health & services providers;
    • Transparency in government policy expenditure measures.

    Our hope is that you'll use these tools for responsible data analytics exploration on not just Medi-Cal FFS provision but on any related subject matter that interest& benefit your community at large. Good luck & happy researching!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    Research Ideas

    • Creating a mobile application or website to help people easily and quickly find their nearest Medi-Cal FFS providers based on location, specialty and provider type.
    • Developing analytics tools to help organizations understand the concentrations of providers across the state in order to inform decision making when considering regional expansion and improving service accessibility.
    • Developing a tool that visualizes specialty diversity across the state to identify areas with low provider density while helping inform strategies aimed at increasing access to care for communities with high needs populations

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Columns

    File: Profile_of_Enrolled_Medi-Cal_Fee-for-Service_FFS_Providers_as_of_May_1_2016.csv | Column name | Description | |:----------------------------|:---------------------------------------------------------------| | NPI | National Provider Identifier (Number) | | SERVICE LOCATION NUMBER | Unique identifier for the provider's service location (Number) | | LEGAL NAME | Legal name of the provider (Text) | | TYPE DESCRIPTION | Type of provider (Text) | | SPECIALTY DESCRIPTION | Specialty of the provider (Text) | | OUT OF STATE INDICATOR | Indicates if the provider is located out of state (Boolean) | | IN/OUT OF STATE | Indicates if the provider is located in or out of state (Text) | | COUNTY CODE | County code of the provider's service location (Number) | | COUNTY NAME | County name of the provider's service location (Text) | | ADDRESS ATTENTION | Attention line of the provider's address (Text) | | ADDRESS LINE 1 | First l...

  19. D

    Big Data in Healthcare Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Big Data in Healthcare Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/big-data-in-healthcare-market-report
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Authors
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Big Data in Healthcare Market Outlook



    The global Big Data in Healthcare market size was valued at approximately USD 32.9 billion in 2023 and is projected to reach an impressive USD 105.7 billion by 2032, registering a robust compound annual growth rate (CAGR) of 13.8% during the forecast period. This significant market expansion is driven by the increasing adoption of electronic health records (EHRs), the surge in healthcare data generation, and the pressing need for enhanced data analytics capabilities to streamline healthcare operations, improve patient outcomes, and reduce costs. The growing emphasis on personalized medicine, coupled with technological advancements in data analytics tools, further accelerates the growth of the Big Data in Healthcare market.



    The demand for efficient and effective healthcare services has prompted healthcare providers to integrate Big Data solutions into their operations. One of the primary growth factors is the burgeoning volume of healthcare data generated from diverse sources, including patient records, clinical trials, wearable devices, and other medical technologies. The ability to harness and analyze this data is crucial for improving clinical outcomes, enhancing patient care, and achieving operational efficiency. Moreover, the increasing prevalence of chronic diseases and the aging population have further intensified the need for Big Data analytics to predict and manage these health conditions proactively, driving market growth.



    Another significant growth driver is the increasing investment in healthcare IT infrastructure and Big Data analytics solutions by both public and private sectors. Governments across various regions are implementing policies and initiatives to promote digital healthcare and the integration of Big Data solutions. These initiatives aim to improve healthcare accessibility, enhance patient engagement, and foster data-driven decision-making processes in healthcare settings. The growing collaboration between healthcare providers and technology companies to develop innovative Big Data solutions also fuels market expansion. Furthermore, the rising trend of precision medicine and the need for personalized treatment plans necessitate advanced analytics capabilities, propelling the demand for Big Data in healthcare.



    The adoption of cloud-based Big Data analytics solutions is a pivotal growth factor in the market. Cloud deployment offers scalable, flexible, and cost-effective solutions for managing vast amounts of healthcare data, making it a preferred choice among healthcare organizations. The shift towards cloud-based solutions is driven by the need for real-time data access, enhanced data security, and interoperability. Additionally, the COVID-19 pandemic has accelerated the digital transformation of the healthcare sector, increasing the reliance on cloud-based technologies and remote healthcare services, further boosting the market growth. The integration of artificial intelligence (AI) and machine learning (ML) algorithms with Big Data analytics also enhances the predictive and prescriptive analytics capabilities, driving their adoption in the healthcare industry.



    Regionally, North America dominates the Big Data in Healthcare market, attributed to the advanced healthcare infrastructure, high adoption rate of digital solutions, and significant government investments in healthcare IT. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The increasing healthcare expenditure, growing awareness about Big Data analytics, and the expanding IT industry contribute to the market growth in this region. Additionally, the rising prevalence of chronic diseases and the growing focus on improving healthcare services create lucrative opportunities for market expansion. Europe is also witnessing steady growth, driven by the increasing adoption of Big Data solutions in healthcare and supportive regulatory frameworks.



    Component Analysis



    In the Big Data in Healthcare market, the component segment is broadly categorized into software, hardware, and services. The software segment holds a substantial share of the market due to the critical role played by advanced analytics tools and platforms in processing and analyzing large volumes of healthcare data. Healthcare organizations are increasingly adopting software solutions to enhance data management, ensure data accuracy, and derive actionable insights from complex datasets. Moreover, the integration of AI and ML technologies into software solutions has revolutionized data analytics by improving predictive and prescriptive capabilities, thus fueling the demand for so

  20. W

    Women's Health Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 22, 2024
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    Data Insights Market (2024). Women's Health Report [Dataset]. https://www.datainsightsmarket.com/reports/womens-health-1216279
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Dec 22, 2024
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global women's health market was valued at USD 24.6 billion in 2025 and is expected to grow at a CAGR of 6.4% during the forecast period, reaching USD 38.0 billion by 2033. Rising prevalence of women-centric health issues, such as breast cancer, cervical cancer, and cardiovascular diseases, along with increasing awareness about these conditions are the primary drivers of market growth. Furthermore, technological advancements in diagnostic and treatment modalities, coupled with government initiatives aimed at improving access to healthcare for women, are further propelling market expansion. North America held the largest market share in 2025, due to the presence of well-established healthcare infrastructure, high healthcare spending, and a growing geriatric population. The Asia Pacific region is projected to witness the highest growth during the forecast period, driven by increasing disposable income, rising awareness about women's health issues, and government initiatives focused on improving healthcare access in developing countries. Key market participants include Amgen, Bayer, Merck KGaA, Merck & Co., Ferring, Eli Lilly, Pfizer, AbbVie, Abbott, and Theramex. These companies are actively engaged in research and development to introduce innovative products and expand their product portfolios, thereby contributing to the overall growth of the women's health market.

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(2019). Accelerating Access to Care Initiative - Report 2014 June 19 [Dataset]. https://www.datahub.va.gov/dataset/Accelerating-Access-to-Care-Initiative-Report-2014/g7mp-yhbz

Accelerating Access to Care Initiative - Report 2014 June 19

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application/rssxml, xml, csv, tsv, application/rdfxml, jsonAvailable download formats
Dataset updated
Sep 12, 2019
Description

VA is posting regular data updates showing progress on its efforts to accelerate access to quality health care for Veterans who have been waiting for appointments. These access data updates will be posted at the middle and end of each month at VA.gov. The facility-level data show the current status of VA's: 1) New Enrollee Appointment Request (NEAR) List: The total number of newly enrolled Veterans that have asked for an appointment during the enrollment process. Out of an abundance of caution, VA reviewed the NEAR data from the past decade to identify any individual who: has enrolled for care since the inception of enrollment, indicated they desired an appointment on the enrollment form, and has not yet had a scheduled appointment in the VHA health care system. 2) Electronic Wait List (EWL) Count: The total number of all new patients (those who have not been seen in the specific clinic in the previous 24 months) for whom appointments cannot be scheduled in 90 days or less; and 3) Total Appointments Scheduled: Every appointment scheduled at the facility except surgery and medical procedures.

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