Engineering for Scale
and Isolation.
A pragmatic guide for technical stakeholders detailing the exact control plane constraints, database-enforced isolation, and state-management protocols that enforce operational security and sub-second scale processing.
The Control Plane
// Identity, State, and Consent Isolation
The system of record is strictly isolated from telemetry ingestion. Red Hat Keycloak operates as the identity fortress, fulfilling enterprise requirements for SAML, Active Directory, and OIDC federated workflows. Cloud SQL (PostgreSQL) is utilized exclusively for relational, transactional state—specifically User Accounts, Facility Mappings, and the Universal HIPAA Consent Kill Switch. This architectural constraint enforces instant ACID-compliant consent propagation without the latency risks of massive table bloat commonly found in scaled RPM systems.
Database-Enforced Tenant Isolation
// ENABLE + FORCE Row-Level Security Across the PHI Surface
Isolation is not an application habit here — the database itself refuses cross-tenant reads. Row-Level Security is enabled and FORCEd across roughly one hundred PHI tables. Tenant identity is resolved inside the database from the authenticated session, never trusted from a client token claim, and per-request context lives in transaction-local variables that are cleared when the connection is released. Core clinical routes add explicit tenant predicates as defense-in-depth on top of RLS. The whole model is exercised by a row-level-security penetration test that ships in the repository and runs against the real schema.
Resilient Transport Layer
// HTTP/3 (QUIC) with Automated HTTP/2 Fallback
High-frequency telemetry demands a transport layer that can survive the unpredictable latency of patient home networks. Internal data routing and client ingestion utilize HTTP/3 over QUIC. By operating over UDP, this eliminates TCP head-of-line blocking, ensuring that erratic edge connections never stall the broader telemetry stream. For legacy infrastructures that cannot support QUIC, the system seamlessly falls back to HTTP/2 multiplexing, maintaining uninterrupted data transit.
Post-Quantum Message Cryptography
// Hybrid X25519 + ML-KEM-1024 (FIPS 203)
Every message is sealed with a fresh 256-bit content-encryption key under AES-256-GCM — no key reuse, no nonce-reuse risk. That key is wrapped for each recipient with a hybrid of X25519 and ML-KEM-1024, the NIST-standardized post-quantum algorithm, through an HKDF combiner that binds both shared secrets, both ciphertexts, the recipient fingerprint, and the message context. The recipient set is cryptographically committed and constant-time verified before decrypt, and associated data binds thread and message identity end to end. Escrow keys exist at rest only as KMS-wrapped blobs; the core crypto crate forbids unsafe code and zeroizes key material. Data encrypted today stays protected against the cryptography of tomorrow.
Client-Side Memory Management
// Aggressive PHI Cache Invalidation
Client-side state management is explicitly hardened against PHI leakage on shared clinical workstations. Data fetching via React 19 and TanStack Query is configured with aggressive zero-caching policies (gcTime: 0, staleTime: 0) for any endpoints returning medical data. Upon component unmount, tab closure, or view navigation, raw telemetry instantly evaporates from browser memory, neutralizing the risk of unauthorized extraction from local browser states.
Zero-State Edge Computing
// Secure Server Components & Rust WASM
While our dynamic web portals utilize strict zero-cache client fetching, our physical point-of-care Kiosks and highly volatile edge environments operate on a strict Server-Side Rendered (SSR) architecture. By rendering the UI on the server for these shared devices, we physically prevent the transmission of raw JSON telemetry payloads over edge networks. Furthermore, physical edge logic executes via memory-safe Rust compiled to WebAssembly (WASM). This delivers native execution speeds at the edge without leaving volatile, garbage-collected PHI traces in local machine memory.
Enterprise Edge Connector
// Certified Legacy Ingress via Rhapsody
To bridge the gap between deeply fragmented hospital databases and modern infrastructure, legacy ingress runs through Rhapsody — a certified interoperability engine that cleanly normalizes legacy configurations into our strict FHIR R4 (US Core) schemas, the same profile every major certified EHR exposes. Rhapsody is independently certified against HITRUST CSF and ISO 27001, vendor certifications that extend compliant handling to the hospital edge.
Asynchronous Telemetry & Zero-PHI Messaging
// Strict Inbound Routing & Granular Consent Propagation
To maximize patient engagement without compromising the security perimeter, the platform utilizes SMS and asynchronous webhooks strictly as inbound telemetry vectors. Patients opt-in to transmit behavioral signals into the system, while outbound communication is hardcoded to a Zero-PHI policy. The sole exception—transmitting a patient's first name to an authorized Wellness Partner or Care Circle member—is governed by granular, explicitly granted consent. Because relational state and consent are isolated in Cloud SQL, a patient's decision to revoke this access triggers the Universal HIPAA Consent Kill Switch, instantly and universally terminating that data flow at the routing layer before the next message can ever be compiled.
Encryption Everywhere & Append-Only Audit Logging
// AES-256 at Rest, Modern TLS in Transit, an Audit Trail That Only Grows
All Protected Health Information is encrypted at rest with AES-256 and moves over modern TLS with HSTS enforced on every response — and message payloads carry the hybrid post-quantum envelope described above on top of transport encryption. Because transactional state is isolated in PostgreSQL, the platform maintains an append-only, highly queryable audit trail: consent revocations, record access, and AI-driven queries are each logged with a timestamp and Keycloak identity marker. Records are added, never rewritten — built to satisfy the HIPAA Security Rule's audit requirements.
Definitive Architectural Certainty
By enforcing tenant isolation inside the database itself (ENABLE + FORCE Row-Level Security), sealing messages with a hybrid post-quantum envelope, and holding zero-cache policies on the client layer (TanStack Query), the system structurally forecloses cross-tenant reads and browser-level PHI leakage — and the isolation model is proven by a penetration test that ships with the codebase.
A Note from the Founder
I believe in systems. The first databases I worked on were for Logistics in the USAF—I'm not going to say it was pretty, but my manual was thick and the steps were spelled out. Later in life, I took flight lessons. I'm not a pilot, but I learned a deep appreciation for pre-flight checklists and doing the hard, boring work up front so that we minimize emergencies later.
I have taken a pilot's approach to developing systems and writing code. "Move fast and break things" is great for a start-up building an app that puts an emoji on a picture and turns you into a meme. It is not a recipe for critical enterprise infrastructure. And that is what we are building: critical infrastructure. We do the hard work first so that we aren't pushing patches at 4:30pm on a Friday.
Our commitment is: it works, and we trust it, before we push it. I won't say that we will never have an issue. But I will say that they will be smaller, faster to patch, and easier on your systems than what a monolithic legacy stack puts you through.
When you have a question, a suggestion, a concern, or a compliment... we are here to listen.