100+ datasets found
  1. h

    medical-question-answering-datasets

    • huggingface.co
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Malikeh Ehghaghi, medical-question-answering-datasets [Dataset]. https://huggingface.co/datasets/Malikeh1375/medical-question-answering-datasets
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Malikeh Ehghaghi
    Description

    Malikeh1375/medical-question-answering-datasets dataset hosted on Hugging Face and contributed by the HF Datasets community

  2. Medical Service Study Areas

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    Updated Dec 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.chhs.ca.gov/dataset/medical-service-study-areas
    Explore at:
    zip, html, geojson, csv, kml, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description
    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).

    Check the Data Dictionary for field descriptions.


    Checkout the California Healthcare Atlas for more Medical Service Study Area information.

    This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.


    <a href="https://hcai.ca.gov/">https://hcai.ca.gov/</a>

    Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

    MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.
  3. EMRBots: a 100,000-patient database

    • figshare.com
    zip
    Updated Sep 3, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Uri Kartoun (2018). EMRBots: a 100,000-patient database [Dataset]. http://doi.org/10.6084/m9.figshare.7040198.v1
    Explore at:
    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.

  4. h

    ai-medical-chatbot

    • huggingface.co
    Updated Feb 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ruslan Magana Vsevolodovna (2024). ai-medical-chatbot [Dataset]. https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 16, 2024
    Authors
    Ruslan Magana Vsevolodovna
    Description

    AI Medical Chatbot Dataset

    This is an experimental Dataset designed to run a Medical Chatbot It contains at least 250k dialogues between a Patient and a Doctor.

      Playground ChatBot
    

    ruslanmv/AI-Medical-Chatbot For furter information visit the project here: https://github.com/ruslanmv/ai-medical-chatbot

  5. o

    Medical Segmentation Decathlon

    • registry.opendata.aws
    Updated Feb 13, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MONAI Development Team (2018). Medical Segmentation Decathlon [Dataset]. https://registry.opendata.aws/msd/
    Explore at:
    Dataset updated
    Feb 13, 2018
    Dataset provided by
    <a href="https://github.com/Project-MONAI/MONAI">MONAI Development Team</a>
    License

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

    Description

    With recent advances in machine learning, semantic segmentation algorithms are becoming increasingly general purpose and translatable to unseen tasks. Many key algorithmic advances in the field of medical imaging are commonly validated on a small number of tasks, limiting our understanding of the generalisability of the proposed contributions. A model which works out-of-the-box on many tasks, in the spirit of AutoML, would have a tremendous impact on healthcare. The field of medical imaging is also missing a fully open source and comprehensive benchmark for general purpose algorithmic validation and testing covering a large span of challenges, such as: small data, unbalanced labels, large-ranging object scales, multi-class labels, and multimodal imaging, etc. This challenge and dataset aims to provide such resource through the open sourcing of large medical imaging datasets on several highly different tasks, and by standardising the analysis and validation process.

  6. M

    Medical Database Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Archive Market Research (2025). Medical Database Software Report [Dataset]. https://www.archivemarketresearch.com/reports/medical-database-software-53369
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 8, 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 medical database software market is experiencing robust growth, driven by the increasing adoption of electronic health records (EHRs) and the rising need for efficient health information management (HIM) systems. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key factors: the increasing digitization of healthcare, the growing demand for data-driven insights to improve patient care and operational efficiency, and the expanding adoption of cloud-based solutions offering scalability and accessibility. Pharmaceutical companies and academic/research institutions are significant drivers, leveraging these systems for drug discovery, clinical trials management, and advanced research initiatives. However, challenges such as data security concerns, high implementation costs, and the need for robust interoperability between different systems pose restraints to market growth. The market is segmented by software type (EHR, HIM) and application (pharmaceutical companies, academic institutions, others), providing diverse opportunities for specialized vendors. Geographic expansion continues, with North America and Europe currently holding significant market share, but growth is anticipated across Asia-Pacific and other regions as healthcare infrastructure modernizes. The competitive landscape is dynamic, with established players like NextGen Healthcare and emerging companies like Pabau and EHR Your Way vying for market share. The success of individual vendors depends on factors including the scalability of their solutions, the depth of their data analytics capabilities, and the strength of their customer support network. The market's trajectory is heavily influenced by government regulations regarding data privacy and interoperability, the ongoing evolution of healthcare technology, and the increasing focus on personalized medicine. Further growth is likely to be seen in areas such as AI-powered diagnostics, predictive analytics, and advanced data visualization tools integrated within medical databases.

  7. C

    Medical Service Study Area Data Dictionary

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    Updated Sep 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health Care Access and Information (2024). Medical Service Study Area Data Dictionary [Dataset]. https://data.chhs.ca.gov/dataset/medical-service-study-area-data-dictionary
    Explore at:
    geojson, csv, html, arcgis geoservices rest api, kml, zipAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset provided by
    CA Department of Health Care Access and Information
    Authors
    Department of Health Care Access and Information
    Description
    Field NameData TypeDescription
    StatefpNumberUS Census Bureau unique identifier of the state
    CountyfpNumberUS Census Bureau unique identifier of the county
    CountynmTextCounty name
    TractceNumberUS Census Bureau unique identifier of the census tract
    GeoidNumberUS Census Bureau unique identifier of the state + county + census tract
    AlandNumberUS Census Bureau defined land area of the census tract
    AwaterNumberUS Census Bureau defined water area of the census tract
    AsqmiNumberArea calculated in square miles from the Aland
    MSSAidTextID of the Medical Service Study Area (MSSA) the census tract belongs to
    MSSAnmTextName of the Medical Service Study Area (MSSA) the census tract belongs to
    DefinitionTextType of MSSA, possible values are urban, rural and frontier.
    TotalPovPopNumberUS Census Bureau total population for whom poverty status is determined of the census tract, taken from the 2020 ACS 5 YR S1701
  8. Medical Technologies Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jun 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2025). Medical Technologies Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/medical-technologies-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    United Kingdom, Canada, United States
    Description

    Snapshot img

    Medical Technologies Market Size 2025-2029

    The medical technologies market size is forecast to increase by USD 346.4 billion, at a CAGR of 8% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing prevalence of diseases and the growing use of connected devices and technologies. Public health surveillance and digital therapeutics are transforming disease prevention and treatment, while speech therapy and behavioral health technologies are addressing the growing need for mental health services. The advancements in medical technology are enabling early disease detection and diagnosis, leading to improved patient outcomes and reduced healthcare costs. Furthermore, the integration of technology in healthcare is enhancing the overall patient experience and facilitating remote monitoring and telemedicine services. However, the market faces challenges in the form of declining reimbursement and cost containment measures.
    Additionally, regulatory requirements and compliance issues can pose significant challenges for market participants. Companies must navigate these obstacles by focusing on innovation, cost reduction, and regulatory compliance to remain competitive and capitalize on the market's potential. As healthcare costs continue to rise, payers are increasingly looking for cost-effective solutions, which may limit the adoption of advanced medical technologies. Medical regulations and data analytics shape the industry, ensuring compliance and informed decision-making.
    

    What will be the Size of the Medical Technologies 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 Sample

    The market continues to evolve, driven by advancements in various sectors. Supply chain management optimizes the distribution of surgical instruments, therapeutic devices, and pharmaceutical research products. Robotics in surgery and laser technology enhance minimally invasive procedures, while healthcare IT streamlines medical billing and insurance claims processing. Regulatory affairs ensure safety and efficacy of medical devices, from implantable devices to drug delivery systems. Patient engagement is facilitated through wearable sensors and remote patient monitoring, enabling preventive medicine and chronic disease management. Predictive analytics and precision medicine offer personalized treatment plans, revolutionizing disease management.

    Sterilization techniques and hospital management systems maintain high standards of hygiene and efficiency. Medical lasers and radiation therapy provide precise interventions, while medical imaging software and diagnostic imaging offer accurate diagnoses. The ongoing unfolding of market activities shapes the landscape of medical technologies, with distribution channels and public health remaining key considerations. Regenerative medicine holds great potential, with ongoing clinical trials and nanotechnology in medicine pushing the boundaries of healing.

    How is this Medical Technologies Industry segmented?

    The medical technologies industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Medical devices
      In-vitro diagnostics
    
    
    End-user
    
      Hospitals
      Clinics
      Others
    
    
    Component
    
      Hardware
      Services
      Software
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Application Insights

    The medical devices segment is estimated to witness significant growth during the forecast period. The medical devices market encompasses instruments, apparatus, appliances, materials, and articles utilized for disease diagnosis, prevention, monitoring, treatment, and relief. Major categories include therapeutic and surgical devices, patient monitoring and diagnostic devices (PMDMIDs), and other medical devices. Factors fueling market expansion include the increasing disease prevalence and related risk factors, an aging population, public and private initiatives to promote health awareness, and escalating healthcare expenditures. For instance, the European Union is projected to have approximately 22.4% of its population aged 65 and above by 2024. Quality control is a critical aspect of medical devices, ensuring their safety and effectiveness.

    Robotics in surgery and minimally invasive procedures enhance precision and reduce complications. Medical billing and insurance claims processing streamline financial transactions. Medical lasers, pharmaceutical research, and drug delivery systems advance treatment modalities. Health informatics, rem

  9. M

    Medical Technology and Innovation Statistics 2025 By Future, Research,...

    • media.market.us
    Updated Jan 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market.us Media (2025). Medical Technology and Innovation Statistics 2025 By Future, Research, Aspects [Dataset]. https://media.market.us/medical-technology-and-innovation-statistics/
    Explore at:
    Dataset updated
    Jan 13, 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
    Description

    Introduction

    Medical Technology and Innovation Statistics: In recent years, there has been a remarkable acceleration in the pace of medical technology advancements. These are driven by factors such as technological advancements, increased funding for research and development, and the growing demand for innovative solutions to address healthcare challenges.

    These advancements have the potential to revolutionize various aspects of healthcare delivery, from diagnostics and treatment to patient monitoring and disease prevention.

    https://media.market.us/wp-content/uploads/2023/07/medical-technology-and-innovation-statistics.jpg" alt="Medical Technology and Innovation Statistics" class="wp-image-17169">

  10. H

    MAQA: Medical Arabic Q&A Dataset

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Aug 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mohammed Abdelhay (2022). MAQA: Medical Arabic Q&A Dataset [Dataset]. http://doi.org/10.7910/DVN/Y2JBEZ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Mohammed Abdelhay
    License

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

    Description

    The largest Arabic Healthcare Q&A dataset as we know (MAQA) was collected from various websites. The dataset consists of more than 430k questions.

  11. d

    High-Confidence Medical Devices: Cyber-Physical Systems for 21st Century...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated May 14, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NCO NITRD (2025). High-Confidence Medical Devices: Cyber-Physical Systems for 21st Century Health Care [Dataset]. https://catalog.data.gov/dataset/high-confidence-medical-devices-cyber-physical-systems-for-21st-century-health-care
    Explore at:
    Dataset updated
    May 14, 2025
    Dataset provided by
    NCO NITRD
    Description

    The U.S. market for medical devices is the largest in the world. At an estimated $83 billion in 2006, this market represents nearly half the global total and is growing at 6 percent annually ? about double the rate of U.S. GDP. With the advent of microprocessors, miniaturization of electronic circuits, wired and wireless digital networking, and new materials and manufacturing processes, older generations of mechanical and analog electromechanical devices used in patient diagnosis, monitoring, and treatment have largely been replaced by devices and systems based on information technologies across the diverse array of contemporary medical devices...

  12. AI In Medical Imaging Market Size, Share, Report & Industry Forecast 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mordor Intelligence (2025). AI In Medical Imaging Market Size, Share, Report & Industry Forecast 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/ai-market-in-medical-imaging
    Explore at:
    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 AI Medical Imaging Market is Segments by Offering (Software Tools/Platform, Services and More), Imaging Modality (X-Ray, Computed Tomography, and More), Application (Oncology, Neurology and More), Deployment Model ( On-Premise, Cloud / Web-Based and More), End User (Hospitals and Clinics, Diagnostic Imaging Centers and More), and Geography.

  13. Global Medical Coding Market Size By Component (In-house, Outsourced), By...

    • verifiedmarketresearch.com
    Updated May 31, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    VERIFIED MARKET RESEARCH (2024). Global Medical Coding Market Size By Component (In-house, Outsourced), By End User (Hospitals, Diagnostic Centers), By Classification System (International Classification Of Diseases (ICD), Healthcare Common Procedure Code System (HCPCS)), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/medical-coding-market/
    Explore at:
    Dataset updated
    May 31, 2024
    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
    2024 - 2031
    Area covered
    Global
    Description

    Medical Coding Market size was valued at USD 31,170.85 Million in 2023 and is projected to reach USD 53,654.53 Million by 2031, at a CAGR of 8.07% from 2024 to 2031.

    Global Medical Coding Market Overview

    Global healthcare expenditure has been on a steady rise in recent years, driven by factors such as an aging population, the prevalence of chronic diseases, and the adoption of advanced medical technologies. The global expansion of healthcare services, including hospitals, clinics, and specialized medical facilities, increases the demand for accurate medical coding to manage billing, patient records, and healthcare analytics efficiently. According to American Hospital Association, there were around 33.67 million patient’s admissions in the 6120 hospitals in the United States. According to the OECD Health Statistics 2023, the USA leads with a health expenditure to GDP ratio of 16.6% in 2022, followed by Germany at 12.7% and France at 12.1%. In the USA, healthcare spending surged to USD 4.5 trillion in 2022, reflecting a 4.1% growth, outpacing the 3.2% increase in 2021, as reported by the U.S. Centers for Medicare & Medicaid Services. The rise in the number of insured individuals means more people are accessing healthcare services. As healthcare utilization increases, the demand for accurate medical coding to process insurance claims also grows. Hospitals and other healthcare providers are constantly seeking ways to improve their billing efficiency and reduce administrative costs.

    Medical coding plays a vital role in this process by ensuring that claims are submitted accurately and reimbursed promptly. Efficient coding systems can help healthcare providers to reduce claim denials and delays in payments. The lack of skilled professionals is a significant restraint on the growth of the Global Medical Coding Market. The medical coding industry requires specialized knowledge and expertise to navigate the complex systems and continuously evolving coding guidelines. Healthcare organizations, which are the primary end-users of medical coding solutions, often struggle to maintain a sufficient pool of skilled medical coding professionals within their internal workforce. The adoption of advanced technologies such as artificial intelligence (AI), machine learning, and natural language processing (NLP) is revolutionizing the global Medical Coding Market, creating significant opportunities for growth and efficiency. As healthcare organizations continue to grapple with the challenges posed by the shortage of skilled medical coding professionals, the integration of innovative technological solutions has emerged as a promising avenue to enhance the efficiency and accuracy of the coding process.

  14. H

    Specialty Medical Chairs Market Trends - Size, Growth & Forecast 2025 to...

    • futuremarketinsights.com
    html, pdf
    Updated Apr 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Future Market Insights (2025). Specialty Medical Chairs Market Trends - Size, Growth & Forecast 2025 to 2035 [Dataset]. https://www.futuremarketinsights.com/reports/specialty-medical-chairs-market
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Future Market Insights
    License

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

    Time period covered
    2025 - 2035
    Area covered
    Worldwide
    Description

    The market was valued at USD 3,889.1 Million in 2025 and grow with a CAGR of 8.2% during the forecast period amounting to the market to USD 8,575.2 Million by 2035.

    MetricValue
    Market Size (2025E)USD 3,889.1 Million
    Market Value (2035F)USD 8,575.2 Million
    CAGR (2025 to 2035)8.2%

    Country-wise Analysis

    CountryCAGR (2025 to 2035)
    United States8.0%
    CountryCAGR (2025 to 2035)
    United Kingdom8.3%
    RegionCAGR (2025 to 2035)
    European Union (EU)8.4%
    CountryCAGR (2025 to 2035)
    Japan8.1%
    CountryCAGR (2025 to 2035)
    South Korea8.5%

    Segmentation Outlook-Specialty Medical Chairs Market

    By TypeMarket Share (2025)
    Examination Chairs35.2%

    Competitive Outlook

    Company NameEstimated Market Share (%)
    Dentsply Sirona18-22%
    Midmark Corp.15-19%
    Fresenius Medical Care12-16%
    Planmeca Oy10-14%
    Other Companies (combined)30-40%
  15. Leading medical apps by monthly active users in China 2025

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading medical apps by monthly active users in China 2025 [Dataset]. https://www.statista.com/statistics/1043739/china-leading-healthcare-apps-monthly-active-users/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    As of May 2025, the most popular medical app in China was Ping An Good Doctor, a healthcare platform owned by the Ping An Insurance Group, with around **** million monthly active users. The mobile portal provides real-time medical consultations, online appointment booking, and a health-related discussion forum. In April 2018, there were twelve thousand healthcare service providers on this mobile app. These leading medical apps have gained popularity in China not only by saving the waiting time at hospitals effectively, but also enhancing the communications between doctors and patients.

  16. h

    Patient Medical Card Registration (NI)

    • healthdatagateway.org
    unknown
    Updated Mar 26, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ACKNOWLEDGEMENT The authors would like to acknowledge the help provided by the staff of the Honest Broker Service (HBS) within the Business Services Organisation Northern Ireland (BSO). The HBS is funded by the BSO and the Department of Health (DoH). The authors alone are responsible for the interpretation of the data and any views or opinions presented are solely those of the author and do not necessarily represent those of the BSO. (2023). Patient Medical Card Registration (NI) [Dataset]. https://healthdatagateway.org/dataset/12
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Mar 26, 2023
    Dataset authored and provided by
    ACKNOWLEDGEMENT The authors would like to acknowledge the help provided by the staff of the Honest Broker Service (HBS) within the Business Services Organisation Northern Ireland (BSO). The HBS is funded by the BSO and the Department of Health (DoH). The authors alone are responsible for the interpretation of the data and any views or opinions presented are solely those of the author and do not necessarily represent those of the BSO.
    License

    https://bso.hscni.net/directorates/digital-operations/honest-broker-service/https://bso.hscni.net/directorates/digital-operations/honest-broker-service/

    Description

    In order to access primary care services in Northern Ireland, patients need to register with a GP practice. Registrations can be divided into different types: first registrations, transfers from other parts of the UK, migrant registrations and service related registrations. Individual registrations will be deducted from the index of registered patients for a number of reasons including notification of death, emigration, returning to their home country, moving to Great Britain etc. There may be a lag between a patient presenting themselves at a GP Practice and completion of registration. This lag may be greater for patients who have to provide additional documentation as proof of entitlement to services. Similarly for deductions, there may be a lag in removing individuals from the index of registered patients.

    Given the sensitive nature of the data, this dataset is primarily used to identify patient populations and facilitate linkage to other datasets. Some variables may be provided in aggregated format, for example age may be replaced with age band and postcode replaced with higher level geographical classifications.

    GP Cypher codes and Practice numbers will not be provided.

  17. a

    Data from: Medical Facility

    • geo-forsythcoga.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +1more
    Updated Dec 13, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Forsyth County Georgia (2022). Medical Facility [Dataset]. https://geo-forsythcoga.opendata.arcgis.com/datasets/medical-facility
    Explore at:
    Dataset updated
    Dec 13, 2022
    Dataset authored and provided by
    Forsyth County Georgia
    Area covered
    Description

    The published representation of medical facilities within Forsyth County boundariesMedical facility types include:Ambulatory Health Care (NAIC Code 6219)Assisted Living (NAIC Code 6233)Dentist (NAIC Code 6212)Home Health Care (NAIC Code 6216)Medical and Diagnostic Laboratory (NAIC Code 6215)Medical and Surgical Hospital (NAIC Code 6221)Other Health Practitioner (NAIC Code 6213)Outpatient Care (NAIC Code 6214)Physician (NAIC Code 6211)Psychiatric and Substance Abuse Hospital (NAIC Code 6222)Residential Disability, Mental Health and Substance Abuse Care (NAIC Code 6232)Specialty Care (NAIC Code 6223)

  18. M

    AI in Medical Coding Market USD 8.4 Billion by 2033

    • media.market.us
    Updated Jul 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market.us Media (2024). AI in Medical Coding Market USD 8.4 Billion by 2033 [Dataset]. https://media.market.us/ai-in-medical-coding-market-news/
    Explore at:
    Dataset updated
    Jul 19, 2024
    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
    Description

    Introduction

    The Global AI in Medical Coding Market is expected to grow from USD 2.4 Billion in 2023 to approximately USD 8.4 Billion by 2033, exhibiting a CAGR of 13.6% during the forecast period from 2024 to 2033. The rise in instances of insurance fraud, increasing adoption of computer-aided coding systems (CACS), and the integration of Artificial Intelligence (AI) within the medical coding domain are some of the factors driving this growth. CACS utilization, combined with technological advancements such as Natural Language Processing (NLP), AI, and the Internet of Medical Things (IoMT), is fueling the market's expansion. Furthermore, AI's role in enhancing the accuracy and efficiency of medical billing systems is another driver behind this growth.

    Recent developments in the AI in Medical Coding sector highlight the industry's rapid evolution, marked by technological advancements and strategic corporate activities. One significant trend is the emergence and growth of companies operating in this field. The sector is undergoing a wave of consolidation, with several key acquisitions taking place in recent months. For example, Mckesson acquired XIFIN, a leader in AI-powered coding solutions, in a deal valued at over $1.5 billion. This move strengthens Mckesson's position in the healthcare revenue cycle management market. Additionally, companies like Olive AI have secured significant funding rounds. In October 2023, Olive AI raised $220 million to further develop its AI platform for medical coding and automation. These developments signal a growing confidence in the potential of AI to revolutionize medical coding by improving accuracy, efficiency, and reducing costs within the healthcare system.

    However, the sector faces challenges, including the need for continual updates to coding standards and the scarcity of skilled professionals equipped to navigate the complexities of medical coding. Additionally, the accuracy required in medical coding presents a significant challenge, as even minor errors can have profound impacts on patient care and billing processes.

  19. A

    Artificial Intelligence Medical Software Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Artificial Intelligence Medical Software Report [Dataset]. https://www.marketreportanalytics.com/reports/artificial-intelligence-medical-software-56113
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 3, 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 global Artificial Intelligence (AI) Medical Software market, valued at $4.687 billion in 2025, is poised for steady growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 1.9% from 2025 to 2033. This growth is fueled by several key factors. The increasing prevalence of chronic diseases necessitates more efficient diagnostic and treatment methods, driving the adoption of AI-powered solutions for improved accuracy and speed. Furthermore, the rising availability of large, high-quality medical datasets is crucial for training sophisticated AI algorithms, leading to more effective applications in areas like drug discovery and precision medicine. Technological advancements in machine learning and deep learning are also contributing to the enhanced capabilities of AI medical software, enabling better image analysis, natural language processing of medical records, and personalized treatment plans. While data privacy and regulatory hurdles pose challenges, the overall market outlook remains positive, driven by the substantial benefits AI offers in improving patient care and healthcare efficiency. Significant market segmentation exists within the AI Medical Software landscape. Application-wise, drug discovery and precision medicine are the leading segments, reflecting the significant potential for AI to accelerate research and personalize therapies. In terms of technology types, image recognition and natural language processing are the dominant categories, with image recognition being instrumental in diagnostics and natural language processing facilitating the analysis of vast amounts of patient data. Geographically, North America is expected to maintain a substantial market share due to robust technological infrastructure, advanced healthcare systems, and increased adoption rates. However, emerging economies in Asia-Pacific are anticipated to exhibit robust growth, driven by increasing healthcare investments and a growing need for efficient and cost-effective healthcare solutions. The presence of numerous key players, including established technology companies and specialized healthcare firms, indicates a competitive market with ongoing innovation and market consolidation.

  20. d

    Medical test dataset

    • staging-elsevier.digitalcommonsdata.com
    Updated Apr 9, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elena Zudilova-Seinstra (2020). Medical test dataset [Dataset]. http://doi.org/10.1234/y8wjwgp8z6.4
    Explore at:
    Dataset updated
    Apr 9, 2020
    Authors
    Elena Zudilova-Seinstra
    License

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

    Description

    This is a medical dataset that can be used to test the TIFF viewer

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Malikeh Ehghaghi, medical-question-answering-datasets [Dataset]. https://huggingface.co/datasets/Malikeh1375/medical-question-answering-datasets

medical-question-answering-datasets

Malikeh1375/medical-question-answering-datasets

Explore at:
148 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Authors
Malikeh Ehghaghi
Description

Malikeh1375/medical-question-answering-datasets dataset hosted on Hugging Face and contributed by the HF Datasets community

Search
Clear search
Close search
Google apps
Main menu