AI-powered zero-trust CRM system for healthcare for secure patient retention and clinical coordination

DE202026103460U1Undetermined Publication Date: 2026-07-30PATEL SANDIPKUMAR
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Patent Information

Authority / Receiving Office
DE · DE
Patent Type
Utility models
Current Assignee / Owner
PATEL SANDIPKUMAR
Filing Date
2026-06-12
Publication Date
2026-07-30
Patent Text Reader

Abstract

A computer-driven zero-trust CRM system (100) for healthcare for secure patient retention and clinical coordination, wherein the system (100) comprises: a patient identity and access verification module (1) configured to authenticate patients, physicians, nurses, care coordinators, administrative staff, and external healthcare providers through multi-factor authentication, biometric verification, device fingerprinting, and role-based identity validation; a zero-trust security orchestration engine (2) configured to continuously verify each access request based on user identity, device trust score, location, session behavior, access context, and clinical role before granting access to patient data;an AI-based patient engagement and communication module (3) configured to generate personalized patient reminders, follow-up messages, appointment notifications, medication reminders, and secure two-way communication via a mobile application, web portal, chatbot, SMS, email, or voice interface; a clinical coordination and care workflow module (4) configured to assign, track, escalate, and coordinate clinical tasks among physicians, nurses, diagnostic centers, pharmacies, and patient care teams; a consent, privacy, and data management module (5) configured to obtain, store, verify, and enforce patient consent before sharing or processing patient health data;an interoperable module for health data integration (6) configured to securely exchange patient records, appointment data, diagnostic reports, prescriptions, billing data, and clinical notes with hospital information systems, electronic health records, laboratory systems, pharmacy systems, and insurance systems; and an immutable module (7) for auditing, risk monitoring, and compliance reporting configured to record every access, modification, disclosure, consent verification, AI recommendation, and clinical workflow action in a tamper-proof audit ledger for compliance verification.
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