Vision, Mission and Value Proposition

National Health Data Systems, Inc., founded in 1994, focuses on accelerating healthcare value through novel information technology.

At the core of our whole product solution is a software development framework that increases value to patieants and provider revenue through the integration and deployment of adaptable health IT knowledge tools. 


Our Vision


Our whole product health IT solution will enable patients, clinicians, researchers, and software technicians around the globe to continually improve people’s health and wellbeing through delivery of high-value (efficient and effective) care.

Our Mission

Our purpose is to build and deploy adaptive knowledge apps using a creative software framework and open communication network. Our is to give healthcare providers, patients/consumers, researchers and decision-support model builders tools that grow and share knowledge needed for continuous improvements in the quality and efficiency of well-care and sick-care. We will continue our unyielding commitment to integrity, truth, compassion, and high-value healthcare.

Our Value Proposition

Our health IT has a simple, flexible, modular structure that can interoperate with other IT systems and apps. It provides solutions including:


  • A software development framework that builds affordable, workflow-savvy apps. These apps use common off-the-shelf software in novel ways to provide intelligent tools that build and share knowledge through the capture, storage, analysis, presentation and exchange of data worldwide. 
  • A cryptographically secure, NIST standards based, network architecture that (a) meets HIPAA requirements for the exchange of health records, (b) enables exchange of information without expensive infrastructural buildout and transmission costs, and (c) is more flexible than a VPN or closed network.

  • The ability to connect to disparate data stores, consume and transform the data regardless of the formats, and organize the data for rapid reporting while preserving the data’s intended meaning (semantic harmonization).


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