Healthcare · HIPAA

i2iConnect scales 75% faster on a HIPAA-aligned AWS foundation

  • 75%faster scaling
  • 50%lower AWS cost
  • HIPAAaligned by design
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i2iConnect is a HIPAA-aligned teletherapy and practice-management platform for behavioral healthcare, connecting therapists with patients remotely.

The challenge

The initial deployment lacked the HIPAA-aligned controls and the high-availability that a live teletherapy platform needs. Downtime here isn't a degraded experience: it's a session interrupted, a therapist and patient disconnected mid-conversation, and the platform's reliability called into question.

i2iConnect needed a foundation that could support HIPAA-aligned workloads, scale with demand for live teletherapy sessions, and stay continuously available, without slowing the engineering team down or putting patient data at risk.

Our approach

We rebuilt the AWS foundation with an automation-first, infrastructure-as-code approach. Every account, security control, and failover path is defined in OpenTofu (Terraform), versioned, reviewed, and reproducible. Manual fixes in the console aren't part of the workflow.

The architecture followed the AWS Security Reference Architecture as a baseline, with HIPAA-aligned controls and resilience patterns layered in:

  1. Multi-account AWS Organization with role-specific accounts, plus AWS IAM Identity Center (SSO) federated with the customer's Google identity provider for short-lived, audited access across the environment.
  2. Multi-AZ Amazon RDS with automatic failover, paired with Amazon ELB across redundant targets, so a single AZ outage never takes the platform down.
  3. Auto Scaling tied to load patterns so capacity grows with teletherapy demand and shrinks when sessions taper, keeping costs proportional to actual usage.
  4. Centralized security and observability with AWS GuardDuty, AWS Security Hub, AWS Config, and Amazon CloudWatch, giving the team continuous insight into the security posture without per-account stitching.
  5. Encryption at rest and in transit across the entire stack, with regular audits and automated compliance checks tied to the HIPAA control set.

The outcome

Scaling latency dropped by 75%. The platform reacts to demand spikes (teletherapy sessions start when they start) in a fraction of the time it took before, and capacity scales back down when sessions taper.

Database and compute costs came down by 50%. Right-sized instances, auto-scaled compute, and Multi-AZ RDS instead of over-provisioned single-instance setups delivered the savings without trading reliability for them.

The HIPAA-aligned baseline has held through every audit since. The same architecture that improved reliability tightened the compliance posture, with audit-ready logging and access control as the default state.

Built with

  • Amazon RDS (Multi-AZ)
  • AWS Auto Scaling
  • Amazon ELB
  • AWS Organizations
  • AWS IAM Identity Center
  • AWS GuardDuty
  • AWS Security Hub
  • OpenTofu (Terraform)

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