Digital Health Wallet
The application of distributed governance principles to health data management provides solutions on user, client, and organizational levels, addressing issues like empowerment, data security, quantum resistance, and interoperability.
It aims to resolve problems such as users lacking visibility into their personal data's use, the need for redundant data sharing, and uncertain data security.
Additionally, distributed governance seeks to improve personalized service access and minimize the gap between users and services due to multiple third-party intermediaries.
Artificial Intelligence and Machine Learning
By capturing high-frequency data like cardiovascular readings, stakeholders responsible for patient outcomes become directly connected. Health trackers generating this data must be linked to patients for essential medical assessments.
Research agencies need intelligence for evidence on innovative care approaches, while general practitioners require operational efficiency in delivering care.
Advanced Health Model
Predictive and preventative care: a personalised care service informed by a continuous monitoring and real-time benchmarking
Research: leveraging smart analytics to reduce the operational burden and ensure patient safety. Interacting directly with the individuals’ wallets generating valuable data
Global sharing: bridging jurisdictions to connect health data:
boosting wellbeing, fighting illness
Healthcare use cases
Verification, privacy and interoperability between multiple stakeholders.
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