HIPAA-Compliant Telehealth Platform
Telehealth that patients and providers actually use
A healthcare startup client
A healthcare startup needed to ship a telehealth product that was HIPAA-compliant from the first commit, integrated with the EHRs their provider partners actually used, and felt like a consumer app rather than a 2008 enterprise portal. I designed the platform with compliance baked into the architecture - encryption, audit, access controls, BAA-covered vendors - and added AI-assisted visit documentation that gave providers back the most-hated part of their day.
This is a representative architecture study based on real project patterns. Specific metrics and client details have been generalized to protect confidentiality.
Results
What changed, in numbers
The metrics the engagement is measured by.
4.8/5
Patient Satisfaction
average rating
-50%
Documentation Time
provider time saved per visit
HIPAA
Compliance
audited and certified
10K+
Visit Capacity
concurrent video sessions
Challenge
What was broken
HIPAA without the user experience tax. Most compliant telehealth products feel like compliance products. The startup wanted clinical-grade security and a product that patients would actually open on their phone. EHR integration via FHIR sounds clean on paper and is a swamp in practice. And providers were threatening to leave if they had to type one more SOAP note after a 12-hour day.
Solution
The shape of the fix
A HIPAA-compliant telehealth platform with secure video, FHIR-based EHR sync, scheduling, and an AI scribe that drafts visit documentation with provider sign-off - reducing the most-hated part of a clinical day without putting the provider out of the loop.
Approach
How I tackled it
The concrete moves that took the project from broken to shipped.
Built encryption-at-rest, encryption-in-transit, and audit logging into the data model rather than bolting them on
Limited the BAA-covered surface to a small, well-understood set of vendors
Implemented FHIR-based EHR integration with idempotent sync and a manual reconciliation path for the inevitable bad records
Used WebRTC with TURN fallback for video, with a custom signaling layer tuned for unreliable mobile networks
Added an AI scribe that drafts SOAP notes from the visit transcript with provider-in-the-loop sign-off
Ran a third-party HIPAA audit and a separate penetration test before any patient data went near production
Outcomes
What shipped, and what it changed
Measured results from the engagement, told as a story rather than a scoreboard.
Cut average provider documentation time per visit in half
Reached 4.8/5 average patient satisfaction on the first 10,000 visits
Passed a third-party HIPAA audit and penetration test on first attempt
Sustained 10,000+ concurrent video sessions during peak with zero compliance incidents
Onboarded three EHR partners via FHIR within the first six months
Stack
Technologies used
Linked entries open the technology page with related studies, playbooks, and notes.
Services
How I helped
The specific services involved in this engagement. Each links to a deeper breakdown.
Lessons
What I would tell the next team
The takeaways I carry into every similar engagement.
HIPAA in the data model is cheap. HIPAA bolted on later costs an entire quarter
Provider time is the most expensive resource in healthcare. Optimize for it ruthlessly
FHIR is a standard the way English is a language: there are dialects everywhere
Related
Other studies you might recognize
Engagements with overlapping problem shapes, industries, or stacks.
Have a similar challenge?
If any of this looks like the project on your desk, the conversation is the cheapest part. You can also browse other healthcare work or the full service list.