Medical Provider Insights Data

Medical Provider Insights Data
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At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.


Understanding the intricate details of medical provider ownership records, especially in densely populated states like New York, has historically been a complex and opaque process. Before the digital age, acquiring insights into the ownership and affiliations of medical providers required navigating a labyrinth of paper trails, personal networks, and often, incomplete public records. The reliance on antiquated methods such as manual record-keeping, word-of-mouth information, and limited public databases made it challenging to obtain accurate and comprehensive data. This lack of accessibility to detailed information hindered the ability of businesses, researchers, and regulatory bodies to make informed decisions.

The advent of sensors, the internet, and connected devices, alongside the proliferation of software and database technologies, has revolutionized the way data is collected, stored, and analyzed. These technological advancements have paved the way for the accumulation of vast amounts of data on various topics, including medical provider ownership records. The transition from paper-based records to digital databases has significantly improved the accessibility and reliability of data, enabling stakeholders to gain insights in real-time.

The importance of data in understanding the landscape of medical provider ownership cannot be overstated. Previously, stakeholders were often in the dark, waiting weeks or months to comprehend changes in ownership, affiliations, and regulatory compliance. Now, with the availability of real-time data, it is possible to monitor these changes as they happen, facilitating a more dynamic and responsive approach to decision-making.

Contact Data

The role of contact data in shedding light on medical provider ownership records is pivotal. Historically, the collection of contact information for medical providers was a manual and time-consuming process, often resulting in outdated or incomplete datasets. However, the technology advances in data collection and aggregation have led to the creation of comprehensive databases that include vital information such as NPI numbers, postal addresses, phone numbers, and email addresses for medical providers across the USA.

Examples of Contact Data:

  • NPI Numbers: Unique identification numbers for medical providers.
  • Postal Addresses: Physical locations of medical practices.
  • Phone Numbers: Contact information for direct communication.
  • Email Addresses: Digital contact information for electronic communication.

Industries and roles that have historically used this data include healthcare analytics firms, medical research organizations, and regulatory bodies. The availability of accurate and up-to-date contact data has enabled these stakeholders to conduct more effective outreach, compliance checks, and market analysis.

The amount of contact data available is accelerating, thanks to ongoing efforts to digitize medical records and the increasing adoption of electronic health record (EHR) systems. This proliferation of data offers unprecedented opportunities to gain insights into medical provider ownership and affiliations.

Specific Uses of Contact Data:

  • Identifying ownership and affiliation patterns among medical providers.
  • Enhancing compliance monitoring and regulatory reporting.
  • Facilitating targeted outreach and communication strategies.
  • Supporting market research and competitive analysis.

Real Estate Data

Real estate data provides another layer of insight into medical provider ownership records. Before the digital transformation, understanding the ownership of medical properties and the tenants within those properties was a daunting task, often requiring physical site visits and manual record searches. Today, real estate data providers offer comprehensive datasets that include information on medical property owners, tenants, and sometimes even medicare charge data.

Examples of Real Estate Data:

  • Property Ownership: Information on the owners of buildings housing medical practices.
  • Tenant Details: Data on medical providers operating within specific properties, including contact information and specialty.

This type of data is invaluable for investors, real estate developers, and healthcare organizations looking to understand the landscape of medical facilities and their operational dynamics. The technology advances in geospatial analysis and property databases have significantly contributed to the availability of this data.

The acceleration in the amount of real estate data related to medical providers is a testament to the growing interest in healthcare infrastructure and its implications for service delivery and accessibility.

Specific Uses of Real Estate Data:

  • Assessing the distribution and accessibility of medical services.
  • Identifying potential investment opportunities in healthcare real estate.
  • Understanding the competitive landscape of medical practices in specific regions.

Business and Healthcare Data

Business and healthcare data providers offer critical insights into the organizational structure, financial health, and regulatory compliance of medical providers. This category of data encompasses a wide range of information, including EIN and NPI identifiers, drawn from various sources such as the IRS, Department of Labor, CMS, and Secretary of State filings.

Examples of Business and Healthcare Data:

  • EIN Identifiers: Employer Identification Numbers for healthcare organizations.
  • NPI Identifiers: National Provider Identifiers for individual medical providers.
  • Regulatory Compliance Data: Information on adherence to healthcare regulations and standards.

Industries and roles that benefit from this data include healthcare compliance firms, financial analysts, and policy researchers. The evolution of data analytics and reporting tools has made it easier to process and analyze this data, providing deeper insights into the healthcare sector.

The volume of business and healthcare data is growing, driven by the increasing complexity of the healthcare industry and the need for transparency and accountability. This growth presents opportunities to enhance understanding of medical provider ownership and operations.

Specific Uses of Business and Healthcare Data:

  • Tracking the financial performance of medical providers.
  • Evaluating regulatory compliance and risk factors.
  • Conducting market analysis and competitive intelligence.


The importance of data in understanding medical provider ownership records cannot be overstated. The transition from manual, paper-based processes to digital data collection and analysis has revolutionized the way stakeholders access and utilize information. The availability of contact, real estate, business, and healthcare data provides a multi-dimensional view of the medical provider landscape, enabling more informed decision-making.

As organizations become more data-driven, the ability to discover and leverage relevant data will be critical to navigating the complexities of the healthcare sector. The trend towards monetizing valuable data assets suggests that the future will bring even more innovative data solutions to the forefront, offering additional insights into medical provider ownership and beyond.

The exploration of new data types, combined with advancements in AI and analytics, holds the promise of unlocking the value hidden in decades-old documents and modern government filings. This evolution will undoubtedly enhance the ability of businesses, researchers, and policymakers to understand and respond to the dynamics of the healthcare industry.


Industries and roles that could benefit from access to detailed data on medical provider ownership include investors, consultants, insurance companies, market researchers, and regulatory bodies. The challenges faced by these stakeholders, such as assessing market opportunities, ensuring compliance, and understanding competitive landscapes, can be addressed through the strategic use of data.

The future of data utilization in these industries is bright, with AI and machine learning technologies poised to unlock even greater insights. As the healthcare sector continues to evolve, the demand for accurate, comprehensive, and timely data will only increase, driving innovation and enhancing the overall understanding of medical provider ownership records.

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