Hospitals, diagnostics, telemedicine platforms and healthtech companies manage patient data across OPD, labs, pharmacies, TPAs, insurers, ABHA-linked journeys, support teams and cloud systems. OpenBlockAI helps healthcare teams govern consent, map patient data, control vendor access, protect raw health identifiers and maintain audit evidence without slowing clinical operations.
Healthcare Reality
Patient data moves through OPD, HIS, LIMS, PACS, pharmacy, TPA, insurer, cloud and support workflows.
Compliance Expectation
Teams must prove purpose, consent, access, emergency use, vendor controls, retention and breach evidence.
OpenBlockAI Resolution
Patient Evidence Ready
Operational evidence across care, claims, labs, vendors and support workflows
A unified control layer for patient data discovery, consent governance, PHI tokenisation, vendor access, emergency access evidence and audit readiness.
Care delivery, diagnostics, insurance, telemedicine and healthtech workflows create many copies and handoffs of patient data. Compliance depends on knowing where that data moves and why.
Consent appears at registration, app onboarding, teleconsultation, lab booking, claim processing and research workflows without one auditable view.
Patient data reaches multiple external processors and partners that require purpose, access, retention and breach evidence.
Reports, prescriptions, IDs, claims, scans and support tickets often exist as PDFs, images, emails or shared-folder exports.
Care teams need fast access, but access decisions and justifications still need to be logged and reviewable.
Follow patient data from registration to lab, pharmacy, insurer and support workflows.
Discovery Studio maps patient data across HIS, LIMS, PACS, EMR, apps, files, support tools and vendors.
Consentica captures purpose-based patient consent across OPD, app, QR, assisted and API-led journeys.
Labs, TPAs, pharmacies, insurers and support partners receive data linked to a defined purpose and evidence record.
Privault tokenises patient identifiers before data moves into analytics, support, AI or vendor systems.
Teams can export consent, data-flow, processor and access evidence for complaints, audits or incident response.
From first registration to claims and support — every touchpoint where patient data needs control and evidence.
Capture and prove patient consent across digital, assisted and physical journeys.
Map lab orders, reports, images, exports and processor access across diagnostics workflows.
Link claims data sharing to purpose, consent status, processor access and retention evidence.
Reduce raw patient data exposure across app logs, support tickets, AI features and analytics workflows.
Discover patient data across structured and unstructured systems including HIS, LIMS, PACS, CRMs, PDFs, emails, support tickets and cloud folders.
DiscoveryCapture, update, withdraw and prove consent across web, app, QR, IVR, assisted and API-led patient journeys.
ConsenticaTokenise patient IDs, phone numbers, claim references, document IDs and other identifiers before downstream exposure.
PrivaultMap labs, TPAs, insurers, pharmacies, cloud tools, support vendors and analytics providers to data categories and purposes.
VendorsManage access, correction, erasure, withdrawal and grievance workflows with SLA and evidence tracking.
RightsPrepare evidence for patient complaints, healthcare partner reviews, breach scope assessment and compliance reporting.
AuditA single patient journey can move from hospital registration to lab, pharmacy, insurer and TPA systems.
A patient undergoes treatment and their data flows through multiple healthcare partners:
Hospital → Lab → Pharmacy → TPA → Insurer
Without unified governance, the organisation cannot prove which partner received which data for which purpose and for how long.
OpenBlockAI maps patient data, governs consent and reduces raw exposure across the healthcare ecosystem.
Outcome: Move from paper-led consent and scattered patient records to operational evidence across care and claims.
No. It is an industry solution for patient-data compliance across consent, discovery, PHI protection, vendor access, incident evidence and audit readiness. DPDP, ABDM, HIPAA-style controls and internal governance can all influence the implementation.