SREEJITH KAIMAL
Healthcare Blockchain Specialist • Decentralized Identity & HIPAA‑Compliant AI
Sreejith Kaimal
Patient‑Owned Data • Verifiable Health AI
Patient‑Owned Data & Trusted AI: The Blockchain Prescription for Healthcare
Sreejith Kaimal is a Healthcare Blockchain Specialist dedicated to solving healthcare’s most persistent challenges — fragmented patient records, opaque data sharing, and the regulatory tightrope of HIPAA compliance — through decentralized identity and HIPAA‑compliant AI. He architects blockchain‑based solutions that give patients full sovereignty over their health data while enabling secure, auditable, and privacy‑preserving AI analytics for providers, researchers, and insurers.
With deep expertise in healthcare IT standards (FHIR, HL7), decentralized identity frameworks (DID, Verifiable Credentials), and HIPAA Security Rule implementation, Sreejith designs systems where every access to medical data is cryptographically verifiable and consented on‑chain. His work moves beyond theoretical pilots to production‑ready architectures that integrate with existing EHR systems and comply with stringent U.S. healthcare regulations. He is passionate about the convergence of blockchain and AI, particularly in ensuring that AI models trained on patient data do so with immutable audit trails and without compromising privacy. At UN Blockchain Week he shows how blockchain can finally deliver on the promise of interoperable, patient‑centric healthcare.
EXPERTISE
- • Healthcare Blockchain Architecture
- • Decentralized Identity (DID, VCs)
- • HIPAA Compliance & Data Privacy
- • FHIR/HL7 Interoperability
- • AI Governance & Verifiable Models
SIGNATURE MOVES
- • Healthcare Blockchain Specialist & Architect
- • Built HIPAA‑Compliant Patient Data Vaults
- • Integrated DIDs with Hospital EHR Systems
- • Designed Consent‑on‑Chain for AI Training
- • Speaker on HealthTech & Regulatory Innovation
“Health data belongs to the patient — not siloed in hospital servers. Blockchain and decentralized identity make it possible to share that data safely, with consent, and finally unlock AI that we can trust.”
