Artificial intelligence


In no sector is your data more sensitive and private than healthcare and wellness. Sharing of Personal Health Information (PHI) invokes new concerns, risks, and challenges for patients, healthcare professionals, healthcare providers (hospitals), and the businesses providing services to the sector. Most of us believe that our medical and health information is private and should be protected, and we want to know who has access to this information.


A Rapidly Evolving Regulatory Puzzle

Businesses and healthcare providers operating in the United States (and elsewhere) must comply with evolving legislations such as the Health Insurance Portability and Accountability Act (HIPAA). This framework is ensuring further protection for patients and their sensitive data.


Secured and Protected with Zero Trust

Complex ecosystems like digital services in Healthcare invoke multiple challenges but offer a wealth of data that can – if used correctly – solve serious and time-critical issues. If we manage such concepts centrally, we will fall short. Why ? Because a patient's PHI data is owned by the patient. We need a secure method of exchange, not storage alone.

authentication in a health or medical environment


Distributed, Not Centralized

The failsafe way to govern such a set of activities across a broad ecosystem is to decentralize the data model underneath – allowing actors across a wider network to transact in a realm of confidentiality, privacy and trust. IndyKite’s Identity Knowledge Graph (™) is build on a decentralized identity data model with robust, fine grained authorization controls.

Private & Confidential. Gain Trust, acquire Context, leverage Relationships, provide better connected health offerings in a secure framework of absolute confidentiality

PHI Data Owned / Shared by Patient. Give patients control over their health records. Allow simple, safe, and efficient means of sharing PHI data with healthcare professionals and service providers.

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