ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.
The Medicare Physician & Other Practitioners by Provider dataset provides information on use, payments, submitted charges and beneficiary demographic and health characteristics organized by National Provider Identifier (NPI). Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.
The data package contains NPI related datasets. The NPI number of all the covered health care professionals, the deactivated NPI's and dfferent codes used within the NPI dataset
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Analysis of ‘Office-based Health Care Providers Database’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d2c20342-2ae3-4dde-bdcf-2cb273bee291 on 11 February 2022.
--- Dataset description provided by original source is as follows ---
ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.
--- Original source retains full ownership of the source dataset ---
This database offers addresses, phone numbers, administrator names and state registration or licensure status for Minnesota health care providers. Federal certification classifications are also included. Provider types in the directory are boarding care homes, home health agencies, home care providers, hospices, hospitals, housing with services, nursing homes and supervised living facilities and other non-long term care providers. Providers can be identified by type, county, city or name. This page provides a link to download current data from the MDH database. The link works best in Internet Explorer and Firefox. This data is provided in tabular format. There is no assoicated geographic dataset; results require geocoding to be mapped. A link to the file with the field names and definitions is also provided below.
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Database As A Service Providers Market size was valued at USD 195.06 Billion in 2024 and is projected to reach USD 471.36 Billion by 2031, growing at a CAGR of 11.66% during the forecast period 2024-2031.
Global Database As A Service Providers Market Drivers
Cloud Adoption: The increasing adoption of cloud computing has led to a growing demand for cloud-based database services, offering scalability, flexibility, and reduced infrastructure costs. Data-Driven Decision Making: Organizations are increasingly relying on data to make informed decisions, driving the need for efficient and scalable database solutions. Big Data Growth: The exponential growth of data, fueled by sources like social media, IoT devices, and customer interactions, necessitates robust database management capabilities.
Global Database As A Service Providers Market Restraints
Data Security and Privacy Concerns: Organizations may have concerns about data security and privacy when using cloud-based database services. Vendor Lock-in: Relying on a single DBaaS provider can create vendor lock-in, limiting flexibility and increasing costs.
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The global provider data management tools market size was valued at approximately USD 1.3 billion in 2023 and is projected to reach around USD 3.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 12%. This robust growth can be attributed to various factors, including the increasing adoption of digital healthcare solutions and the rising need for maintaining accurate provider information to enhance healthcare delivery and regulatory compliance.
One of the primary growth factors driving the market is the escalating demand for high-quality healthcare services, which necessitates the proper management of provider data. Accurate and up-to-date provider information is crucial for seamless healthcare operations, from patient referrals to claims processing. The increasing complexity of healthcare systems, coupled with regulatory mandates for data accuracy and transparency, has further fueled the adoption of provider data management tools.
Another significant growth driver is the technological advancements in data management solutions. Innovations such as artificial intelligence (AI) and machine learning (ML) are being integrated into provider data management tools to automate data cleansing, validation, and enrichment processes. These technologies help in significantly reducing the manual effort required and improve the accuracy of provider data, thereby enhancing operational efficiencies and reducing costs.
The growing emphasis on value-based care models is also propelling the market forward. Value-based care focuses on providing better patient outcomes at lower costs, which requires precise and comprehensive provider data to ensure appropriate care coordination and resource allocation. As healthcare organizations shift toward these models, the need for sophisticated provider data management tools becomes more pronounced.
Regionally, North America holds a significant share of the provider data management tools market, driven by advanced healthcare infrastructure, high adoption rates of digital health solutions, and stringent regulatory requirements. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by increasing healthcare investments, the proliferation of digital health initiatives, and the rising need for efficient data management solutions in emerging economies.
Entity Management Tools play a crucial role in the healthcare sector by ensuring that all provider data is meticulously organized and maintained. These tools facilitate the seamless integration and management of data across various platforms, which is essential for healthcare organizations aiming to streamline their operations. By leveraging Entity Management Tools, healthcare providers can ensure that their data remains consistent and accurate across all systems, reducing the risk of errors and enhancing the overall quality of care. Furthermore, these tools support regulatory compliance by maintaining a comprehensive and up-to-date record of provider information, which is critical for audits and reporting.
The provider data management tools market is segmented into software and services based on the component. The software segment encompasses a variety of solutions that facilitate the management, integration, and analysis of provider data. These tools are designed to ensure data accuracy and compliance with regulatory standards. With the growing focus on digital transformation in healthcare, the demand for robust software solutions is on the rise. These solutions often include features such as data validation, deduplication, and real-time updating capabilities, which are essential for maintaining accurate provider directories.
On the other hand, the services segment includes consulting, implementation, and support services that assist healthcare organizations in deploying and optimizing provider data management solutions. As the complexity of healthcare data management increases, the need for expert services to guide organizations through the deployment process becomes crucial. Managed services, in particular, are gaining traction as they allow healthcare providers to outsource the management of their data, ensuring that it remains accurate and up-to-date without adding to their workload.
In terms of market share, the software segment is expected to dom
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Register of Health Care Providers is the basic national database
on health care system, medical staff and other health care employees. It is intended for planning and monitoring the public health service network, planning and monitoring the movement of health personnel, and implementation of health care and health insurance systems. It serves as a register of individual groups of medical staff, separately
doctors, dentists, pharmacists and private health professionals.
Database of Service Provider Names, Websites, Mission, Location by Country, and Service Type who participated in the SelectUSA 2017 and 2018 Investment Summits
This dataset contains the Health Care Providers data. Each line in the dataset represents an NPI record. The NPI is a unique identification number for covered health care providers.
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The global Healthcare Provider Data Management Solution market size was valued at approximately USD 3.2 billion in 2023 and is expected to reach around USD 8.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This robust growth can be attributed to the increasing volume of healthcare data generated, the rising need for efficient data management systems, and the growing emphasis on improving patient outcomes and operational efficiency.
One of the primary growth factors driving the Healthcare Provider Data Management Solution market is the surge in healthcare data generation. The proliferation of electronic health records (EHRs), wearables, and other digital health tools has led to an exponential increase in the volume of healthcare data. This data, encompassing patient history, diagnostic information, treatment plans, and more, requires efficient management systems to ensure its accessibility, accuracy, and security. Additionally, the integration of data from various sources facilitates better patient care and informed decision-making, further driving the demand for advanced data management solutions.
Another significant growth factor is the ongoing digital transformation within the healthcare sector. Organizations are increasingly adopting advanced technologies such as artificial intelligence, machine learning, and big data analytics to enhance their data management capabilities. These technologies enable healthcare providers to derive actionable insights from vast datasets, optimize operational processes, and improve patient outcomes. Moreover, the implementation of cloud-based solutions offers scalability, flexibility, and cost-efficiency, making it an attractive option for healthcare providers of all sizes.
Furthermore, regulatory requirements and data privacy concerns are fueling the adoption of healthcare provider data management solutions. Governments and regulatory bodies across the globe have introduced stringent regulations to ensure the security and confidentiality of patient data. Compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe necessitates the use of robust data management systems. These solutions help healthcare providers maintain compliance, avoid penalties, and build trust with patients.
The regional outlook for the Healthcare Provider Data Management Solution market is also promising. North America holds a significant share of the market, driven by the advanced healthcare infrastructure, high adoption rate of digital technologies, and favorable government initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the expanding healthcare sector, increasing investments in healthcare IT, and growing awareness about the benefits of data management solutions. Europe, Latin America, and the Middle East & Africa are also anticipated to experience substantial growth, supported by ongoing digital transformation efforts and regulatory developments.
The integration of a Healthcare CRM Solution is becoming increasingly vital in the healthcare industry. As healthcare providers strive to enhance patient engagement and streamline communication, CRM solutions offer a comprehensive platform to manage patient interactions and data. These solutions facilitate personalized communication, enabling providers to deliver tailored healthcare experiences. By leveraging CRM systems, healthcare organizations can improve patient satisfaction, foster loyalty, and ultimately drive better health outcomes. Additionally, CRM solutions support the coordination of care by integrating with existing healthcare systems, ensuring that patient information is readily accessible and up-to-date. As the demand for patient-centered care grows, the adoption of Healthcare CRM Solutions is expected to rise, offering significant benefits to both providers and patients.
In the Healthcare Provider Data Management Solution market, the component segment is bifurcated into software and services. The software segment encompasses various data management tools and platforms designed to streamline data collection, storage, and analysis. These software solutions are integral in managing patient records, financial data, and operational metrics. The increasi
This dataset tracks the updates made on the dataset "Office-based Health Care Providers Database" as a repository for previous versions of the data and metadata.
Healthcare Provider/Professional Data contains the data of individual providers and facilities, including their information about opening hours, insurance networks, specialties, NPI, etcetera. In addition to discovering data sources, merging data, running analytics, and receiving decision-making guidance, the bigger problem is responding to marketplace business and patient care demands in a timely manner. Pharmacy contains the location details of pharmacies and has attributes such as addresses, opening hours, facilities, etcetera.
A. Usecase/Applications possible with the data:
a. Provider network data systems (PNDS) - The primary goal of the PNDS is to collect data needed to evaluate provider networks, which include physicians, hospitals, labs, home health agencies, durable medical equipment providers, and so on, for all types of Health Insurers. Such information can be used to:
b. Find health care providers in my network - Use this directory to easily find other providers in my network.
c. Comprehensive services assessment - Determine whether insurers have contracted with a sufficient number of primary care practitioners, clinical specialists, and service facilities (hospitals, labs, etc.) within the insurer's service area.
d. Capacity analysis - Calculate the potential capacity of a managed care plan’s primary care providers.
e. Locate pharmacies in your local areas.
f. Support Employee Benefits Decisions - Having access to network data can help you make better decisions about which providers to use for Employee Medical Benefits.
g. Know about the facilities available across different pharmacies.
How does it work?
The Nuclear Medicine National HQ System database is a series of MS Excel spreadsheets and Access Database Tables by fiscal year. They consist of information from all Veterans Affairs Medical Centers (VAMCs) performing or contracting nuclear medicine services in Veterans Affairs medical facilities. The medical centers are required to complete questionnaires annually (RCS 10-0010-Nuclear Medicine Service Annual Report). The information is then manually entered into the Access Tables, which includes: * Distribution and cost of in-house VA - Contract Physician Services, whether contracted services are made via sharing agreement (with another VA medical facility or other government medical providers) or with private providers. * Workload data for the performance and/or purchase of PET/CT studies. * Organizational structure of services. * Updated changes in key imaging service personnel (chiefs, chief technicians, radiation safety officers). * Workload data on the number and type of studies (scans) performed, including Medicare Relative Value Units (RVUs), also referred to as Weighted Work Units (WWUs). WWUs are a workload measure calculated as the product of a study's Current Procedural Terminology (CPT) code, which consists of total work costs (the cost of physician medical expertise and time), and total practice costs (the costs of running a practice, such as equipment, supplies, salaries, utilities etc). Medicare combines WWUs together with one other parameter to derive RVUs, a workload measure widely used in the health care industry. WWUs allow Nuclear Medicine to account for the complexity of each study in assessing workload, that some studies are more time consuming and require higher levels of expertise. This gives a more accurate picture of workload; productivity etc than using just 'total studies' would yield. * A detailed Full-Time Equivalent Employee (FTEE) grid, and staffing distributions of FTEEs across nuclear medicine services. * Information on Radiation Safety Committees and Radiation Safety Officers (RSOs). Beginning in 2011 this will include data collection on part-time and non VA (contract) RSOs; other affiliations they may have and if so to whom they report (supervision) at their VA medical center.Collection of data on nuclear medicine services' progress in meeting the special needs of our female veterans. Revolving documentation of all major VA-owned gamma cameras (by type) and computer systems, their specifications and ages. * Revolving data collection for PET/CT cameras owned or leased by VA; and the numbers and types of PET/CT studies performed on VA patients whether produced on-site, via mobile PET/CT contract or from non-VA providers in the community.* Types of educational training/certification programs available at VA sites * Ongoing funded research projects by Nuclear Medicine (NM) staff, identified by source of funding and research purpose. * Data on physician-specific quality indicators at each nuclear medicine service.* Academic achievements by NM staff, including published books/chapters, journals and abstracts. * Information from polling field sites re: relevant issues and programs Headquarters needs to address. * Results of a Congressionally mandated contracted quality assessment exercise, also known as a Proficiency study. Study results are analyzed for comparison within VA facilities (for example by mission or size), and against participating private sector health care groups. * Information collected on current issues in nuclear medicine as they arise. Radiation Safety Committee structures and membership, Radiation Safety Officer information and information on how nuclear medicine services provided for female Veterans are examples of current issues.The database is now stored completely within MS Access Database Tables with output still presented in the form of Excel graphs and tables.
The dataset provides basic information of the FFS providers enrolled in the Medi-Cal program as of July 1, 2025. The data was retrieved from the Provider Master File (PMF), which has been used in the claims payment process and maintained by the Provider Enrollment Division (PED). The Variables in the dataset include provider number, name, type, specialty, geographic information, etc. This dataset does not include the Managed Care providers.
This data package contains the Physician Quality Reporting System (PQRS), Performance Rates for Individual Eligible Professionals (EP) PQRS, Consumer Assessment of Healthcare Providers and Systems (CAHPS) and Group Practice.
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Column Name | Description |
---|---|
city_name | The name of the city where healthcare providers are located. |
result_count | The count of healthcare providers in the city. |
results | Details of healthcare providers in the city. |
created_epoch | The epoch timestamp when the provider's information was created. |
enumeration_type | The type of enumeration for the provider (e.g., NPI-1, NPI-2). |
last_updated_epoch | The epoch timestamp when the provider's information was last updated. |
number | The unique identifier for the healthcare provider. |
addresses | Information about the provider's addresses, including mailing and location addresses. |
country_code | The country code for the provider's address (e.g., US for the United States). |
country_name | The country name for the provider's address. |
address_purpose | The purpose of the address (e.g., MAILING, LOCATION). |
address_type | The type of address (e.g., DOM - Domestic). |
address_1 | The first line of the provider's address. |
address_2 | The second line of the provider's address. |
city | The city where the provider is located. |
state | The state where the provider is located. |
postal_code | The postal code or ZIP code for the provider's location. |
telephone_number | The telephone number for the provider's contact. |
practiceLocations | Details about the provider's practice locations. |
basic | Basic information about the provider, including their name, credentials, and gender. |
first_name | The first name of the healthcare provider. |
last_name | The last name of the healthcare provider. |
middle_name | The middle name of the healthcare provider. |
credential | The credential of the healthcare provider (e.g., PT, DPT). |
sole_proprietor | Indicates whether the provider is a sole proprietor (e.g., YES, NO). |
gender | The gender of the healthcare provider (e.g., M, F). |
enumeration_date | The date when the provider's enumeration was recorded. |
last_updated | The date when the provider's information was last updated. |
taxonomies | Information about the provider's taxonomies, including code, description, state, license, and primary designation. |
identifiers | Additional identifiers for the healthcare provider. |
endpoints | Information about communication endpoints for the provider. |
other_names | Any other names associated with the healthcare provider. |
1. Healthcare Provider Analysis: This dataset can be used to perform in-depth analyses of healthcare providers across various cities. You can extract insights into the distribution of different types of healthcare professionals, their practice locations, and their specialties. This information is valuable for healthcare workforce planning and resource allocation.
2. Geospatial Mapping: Utilize the city names and addresses in the dataset to create geospatial visualizations. You can map the locations of healthcare providers in each city, helping stakeholders identify areas with potential shortages or surpluses of healthcare services.
3. Provider Directory Development: The dataset provides detailed information about healthcare providers, including their names, contact details, and credentials. You can use this data to build a comprehensive healthcare provider directory or search tool, helping patients and healthcare organizations find and connect with the right providers in their area.
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The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers.
For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.
These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data.
Below is the list of tables:
MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend
[IMPORTANT NOTE: Sample file posted on Datarade is not the complete dataset, as Datarade permits only a single CSV file. Visit https://www.careprecise.com/healthcare-provider-data-sample.htm for more complete samples.] Updated every month, CarePrecise developed the AHD to provide a comprehensive database of U.S. hospital information. Extracted from the CarePrecise master provider database with information all of the 6.3 million HIPAA-covered US healthcare providers and additional sources, the Authoritative Hospital Database (AHD) contains records for all HIPAA-covered hospitals. In this database of hospitals we include bed counts, patient satisfaction data, hospital system ownership, hospital charges and cases by Zip Code®, and more. Most records include a cabinet-level or director-level contact. A PlaceKey is provided where available.
The AHD includes bed counts for 95% of hospitals, full contact information on 85%, and fax numbers for 62%. We include detailed patient satisfaction data, employee counts, and medical procedure volumes.
The AHD integrates directly with our extended provider data product to bring you the physicians and practice groups affiliated with the hospitals. This combination of data is the only commercially available hospital dataset of this depth.
NEW: Hospital NPI to CCN Rollup A CarePrecise Exclusive. Using advanced record-linkage technology, the AHD now includes a new file that makes it possible to mine the vast hospital information available in the National Provider Identifier registry database. Hospitals may have dozens of NPI records, each with its own information about a unit, listing facility type and/or medical specialties practiced, as well as separate contact names. To wield the power of this new feature, you'll need the CarePrecise Master Bundle, which contains all of the publicly available NPI registry data. These data are available in other CarePrecise data products.
Counts are approximate due to ongoing updates. Please review the current AHD information here: https://www.careprecise.com/detail_authoritative_hospital_database.htm
The AHD is sold as-is and no warranty is offered regarding accuracy, timeliness, completeness, or fitness for any purpose.
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The COVID-19 Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration for the Uninsured Program provides reimbursements on a rolling basis directly to eligible health care entities for claims that are attributed to the testing, treatment, and or vaccine administration of COVID-19 for uninsured individuals. The program funding information is as follow:
TESTING The American Rescue Plan Act (ARP) which provided $4.8 billion to reimburse providers for testing the uninsured; the Families First Coronavirus Response Act (FFCRA) Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the FFCRCA (P.L. 116-127) and the Paycheck Protection Program and Health Care Enhancement Act (P.L. 116-139) (PPPHCEA), which each appropriated $1 billion to reimburse health care entities for conducting COVID-19 testing for the uninsured.
TREATMENT & VACCINATION The Provider Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), provided $100 billion in relief funds. The PPPHCEA appropriated an additional $75 billion in relief funds and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act (P.L. 116-260) appropriated another $3 billion. Within the Provider Relief Fund, a portion of the funding from these sources will be used to support healthcare-related expenses attributable to the treatment of uninsured individuals with COVID-19 and vaccination of uninsured individuals. To learn more about the program, visit: https://www.hrsa.gov/CovidUninsuredClaim
This dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for COVID-19 testing of uninsured individuals, vaccine administration and treatment for uninsured individuals with a COVID-19 diagnosis.
For Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6
ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.