Problem:
Existing privacy compliance issues in accessing valuable medical data for research create barriers, limiting data availability primarily to government or government-affiliated institutions. Private researchers and individuals encounter challenges in obtaining crucial medical data due to strict regulations and the potential risk of personal identifiers leaks.
Solution:
In our revolutionary healthcare data sharing system, users experience a seamless onboarding process upon creating an account. When consulting with healthcare professionals, like doctors, the medical data is securely sent to our app, ensuring absolute anonymity. Users maintain control over their data, enabling selective access grants to their medical records during subsequent visits to different healthcare providers. After consultations, users have the flexibility to promptly delete the shared data. Over time, as users accumulate a comprehensive medical history, they can willingly contribute this data to researchers or individuals in need. Our incentivized model rewards users proportionally to the shared data, which a heightened sense of engagement. Crucially, our system ensures the authenticity of shared data while preserving user privacy through the meticulous removal of personally identifiable information. This empowers users to actively participate in their healthcare journey while offering researchers reliable and valuable data to propel advancements in disease detection, recognition, and broader health research.
USP (Unique Selling Proposition):
Vital Link stands out by guaranteeing authentic medical data, championing disease research without compromising user privacy. Our blockchain-based platform provides a transparent, secure, and incentivized environment, making it a distinctive and valuable solution for medical data sharing.
Key Features:
Selective Data Access
Data Deletion Option
Accumulated Medical History
Authentic Data Assurance
Privacy-Preserving
Challenges Encountered:
During the project's development, one significant challenge we faced was initially underestimating the idea's scope. Engaging with other developers working in the medical field with AI provided crucial insights. We discovered that obtaining authentic data proved to be a substantial hurdle for many in the medical community, including colleges and institutes, as indicated by surveys.
The task of removing Personally Identifiable Information (PII) and seamlessly integrating blockchain presented another major challenge. To address this, we strategically employed blockchain in areas where its advantages were most impactful, while still incorporating traditional databases. This hybrid approach not only resolved the challenge of data authenticity but also contributed to creating an app that feels akin to a Web 2.0 application, enhanced by the power of Web3 through blockchain integration.
Tracks Applied (1)
Polygon
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