Industry solution for healthcare and health-tech
Telehealth and Patient Engagement App Development
A multi-tenant telehealth platform covering patient self-scheduling, WebRTC video visits, and clinician dashboards, specified and governed end to end before a line of code ships.
Six reasons healthcare teams build telehealth on a governed platform
Telehealth touches PHI, clinical workflow, and revenue at the same time. The constraints are known up front, which is exactly why they belong in the specification rather than in a code review three sprints later.
HIPAA controls specified before implementation
AES-256 at rest, TLS 1.2+ in transit, DTLS/SRTP for video, RBAC with minimum-necessary access, and immutable audit logging are captured as architecture requirements, not retrofitted after a security review.
Multi-tenant isolation at the database engine
PostgreSQL 16 Row-Level Security enforces tenant boundaries in the engine itself, so a cross-tenant read returns zero rows even if application code is wrong.
BEHAVIOR PRESERVED
Video that works on hospital networks
LiveKit SFU with TURN-over-TLS on port 443, chosen because restrictive hospital firewalls block the ports a naive WebRTC setup depends on.
EHR integration decided at architecture time
Epic FHIR R4 via SMART on FHIR, with Schedule, Patient, Appointment, Encounter, and DocumentReference mapped before implementation rather than discovered during it.
Measurable outcomes, not vague goals
No-shows from 23% to 14%, 60% self-service booking within 90 days, 50% less clinician scheduling time, 95% video completion. Each one is an acceptance criterion.
Every work order traces to a requirement
97 work orders across six approved stages, each linked to the requirement that authorized it, so an auditor can follow production code back to a business objective.
What you get when the platform is specified first
The shift is more than syntax. Paradigms, data access, and runtime assumptions all move, and each one needs an explicit mapping.
01
A confirmed stack, not a guess
Node.js 20 LTS with TypeScript strict mode, React 18, PostgreSQL 16 with RLS, LiveKit SFU, deployed to AWS EKS with Terraform and HashiCorp Vault.
02
Performance budgets as requirements
Video connect within 5 seconds, reads under 200ms and writes under 500ms at p95, dashboard sync within 2 seconds, 99.9% uptime.
03
Two interfaces, two design languages
A mobile-first patient portal and a desktop-first staff dashboard on shadcn/ui, split deliberately because patients join from phones and staff work at workstations.
04
Failure handling designed in
Circuit breakers at five failures per 60 seconds, exponential backoff, and dead-letter queues for clearinghouse, Twilio, and SendGrid outages.
What Forge actually produces
There is no codebase to import on a new build, so the specification is the starting artifact: intent becomes a PRD, an architecture, and a UI spec, then breaks into 97 dependency-ordered Build work orders. Here is what one of those looks like.
Readiness gate
Spec readiness
7/7
Whether the specification is safe to build against. All seven readiness checks cleared, including the three intent gaps that had to be closed first: technology stack, deployment model, and EHR integration targets.
All checks cleared
Telehealth work order
WO-001 · Provision HIPAA-ready VPC and network segmentation
Build
Four-zone segmentation across public, DMZ, internal services, and data tiers, enforced by security groups and Kubernetes NetworkPolicies. Terraform must apply with zero tfsec and checkov findings at HIGH or CRITICAL. Blocked connections must time out within five seconds. Unblocks WO-002 (EKS) and WO-003 (PostgreSQL).
Common challenges
Forge surfaces the decisions a telehealth build tends to defer until they are expensive. These came out of the approved architecture as open questions.
Clearinghouse selection is still open
Real-time eligibility needs a 270/271 clearinghouse, but the vendor and the retry and escalation strategy remain unresolved. Flagged before implementation rather than discovered at integration.
Video recording policy needs a decision
Whether visits are recorded determines whether encrypted media storage, retention windows, and per-visit consent tracking exist at all. It is a stakeholder decision, not a technical default.
Booking races need engine-level guarantees
Two patients taking the last slot at once corrupts a schedule. Handled with atomic slot reservation and UNIQUE constraints rather than application-level checks.
Disaster recovery targets are unset
Region strategy, RTO and RPO targets, and backup testing cadence are called out as unresolved before infrastructure provisioning begins.
Frequently asked questions
Is the platform HIPAA compliant out of the box?
Which EHR systems does it integrate with?
How does video work on restrictive hospital networks?
How is one tenant's patient data kept separate from another's?
What does Forge actually produce for a build like this?