HealthCierge™ | Safe AI for Predictive Cardio Research
HealthCierge™ powers predictive cardiovascular research at Clínica Arvila Magna by enabling patients to share trusted health data through secure wallets. AI identifies early risks safely, while compliance and privacy are assured with zero-knowledge proofs.
The Challenge
Healthcare research struggles to balance data access with patient privacy. Traditional clinical systems limit the use of real-world data, making it harder to identify early risk factors and personalise treatment. Regulators demand strong safeguards, while researchers need timely, diverse datasets.
Approach
KATLAS partnered with Clínica Arvila Magna (Barcelona) to develop a patient-centric model using HealthCierge™ wallets and digital twins. Patients control their own health data and share verifiable proofs with clinicians and researchers. AI models analyse patterns for cardiovascular risk without exposing sensitive records, while zero-knowledge reporting ensures compliance and transparency.
Results
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Predictive insights: AI safely identified early cardiovascular risk.
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Patient participation: Individuals remained active custodians of their data.
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Compliance by design: GDPR and safety monitoring assured through zero-knowledge proofs.
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Research efficiency: Re-usable, trusted data improved trial design and reduced burden on clinicians.
Proof Point
https://youtu.be/6PATwu3M_JU
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