Telemedicine
Telehealth apps that hold up outside the demo call
Video is a solved problem you can buy. What decides whether your product works is eligibility, licensure, scheduling, and what happens when the connection drops mid-consult.
Four things that decide whether a telehealth build works
4 things that decide this
- 01Video is a component you buy, not a product you build. Your differentiator sits in eligibility, routing, records and billing, which is where most budgets run out.
- 02A clinician is licensed per state, and your matching logic has to know that. Route a patient to the wrong-state provider and you have a compliance failure wearing the costume of a scheduling bug.
- 03Consent, identity and documentation have to survive the call. If a consult drops at minute nine, both parties need to know what got recorded and what didn't.
- 04Buy the video, and build the rest yourself. Real-time video is a mature commodity, so put your effort into eligibility, licensure, records and payments.
Telehealth products fail on the boring screens
Every telehealth demo looks the same, because everyone integrates the same video vendors. The call connects, the faces appear, the room applauds, and nothing has actually been proven yet.
Your real product decides who may see whom. Does the clinician hold a licence where the patient physically sits? Is the consent current, has the eligibility rule been met, and does the visit leave a record someone can bill and audit?
Those are eligibility-gated workflow problems, and we've built them, though in workforce compliance rather than in a clinic. That pattern transfers more than the sector does.
The parts of a telehealth build we take
Chosen to match what we have shipped, which is narrower than a full platform pitch.
Eligibility-gated scheduling
We check rules at the moment of booking rather than once at signup. Shift Link only offers a shift to a worker whose documents are valid that day, and a licensure check for you has the same shape.
Credential and expiry tracking
Documents that expire quietly are the classic failure. Automated validation with expiry tracking cut manual compliance verification by 70% for Shift Link, and we'd build yours the same way.
Audit trails and access control
You need to know which records a named person opened on a given day. TrialTriage runs four roles, multi-factor sign-in and 23 tracked audit action types.
De-identified data models
We choose age bands, prefixes and stand-in identifiers at schema time. A field you never collect can't appear in a breach report.
Booking, payments and notifications
This is the operational spine around your consult: Stripe across seven builds, plus SMS and voice work with Twilio in production.
Offline-tolerant mobile
We build field apps that keep working with no signal and reconcile later. TankAware runs inspections this way across hundreds of remote sites.
- Patient locationWhere they physically are today.
- Licence checkClinician licensed in that state.
- ConsentCurrent, and recorded before joining.
- EligibilityCoverage and rule satisfied now.
- ConsultThe part everyone demos.
- RecordDocumented, billable, auditable.
Five of these six are database and rules work. Buying a video vendor solves the fifth box and none of the others.
A dropped call is a records problem, not a network problem
A consult ends at minute nine because a patient walked into a lift. Now several questions arrive at once: did the visit happen, is it billable, and what did the clinician document, against which encounter?
Most teams discover this in month three, when finance asks why two encounters exist for one patient and neither is complete. You repair it with a data model that treats an encounter as a first-class record with its own state, not as a side effect of a video session.
Design your reconnect path before the happy path. It'll cost you a day early, and it saves you a rewrite later.
- Make the encounter your record, not the video session.
- Decide what a partial visit means for your billing before launch.
- Store the patient's stated location per visit, because licensure follows it.
Eligibility-gated systems and regulated-data builds
“I am extremely happy with the results and would highly recommend Hashlogics to anyone.”
Daniel Khin · CEO, PremiumAudit.io
What these builds run on
Application
- Next.js
- React Native
- TypeScript
- NestJS
Data
- PostgreSQL
- Supabase
- Redis
- Field-level encryption
Comms and payments
- Twilio
- Stripe
- SendGrid
- Push notifications
Delivery
- Docker
- GitHub Actions
- Vercel
- AWS
Questions telehealth founders ask
01Should we build video ourselves or buy it?+
Buy it. Real-time video is a commodity with mature vendors, and building it yourself consumes the budget your differentiator needs. The exception is a genuine clinical requirement the vendors don't meet, such as a specific device stream. Prove that requirement exists before you spend a quarter on it.
02How do you stop a patient booking a clinician licensed in another state?+
We treat licensure as data your scheduler reads, not as a policy in a handbook. We store the patient's location per visit and each clinician's licences with their expiry dates, then check both at the moment of booking, not at signup. That's identical to eligibility-gated shift scheduling, which we've built.
03What happens to our data model when we add asynchronous visits?+
It usually breaks, because your first version assumed a visit is a live session. Message-based and store-and-forward care have no start and end time in the same sense, yet they still need consent, documentation and billing. Model the encounter as the durable object early, and both modes fit without a rewrite.
04Can we use an AI triage feature before a consult?+
You can, as long as you keep the human decision point where being wrong is expensive. A model that gathers history and ranks urgency for a clinician to review is a defensible design. A tool pointed at a patient that issues its own determination is a different kind of product with a different regulatory posture. Get your counsel involved while the design is still moving.
05What should we build first in a telehealth product?+
Start with your encounter record and your eligibility rules. Everything else attaches to them. Video is a component you buy in a week; licence per visit, consent, notes and billing decide whether your product survives its second quarter. Model those at the schema stage, because fixing them after real visits exist is far harder.
06Does a telehealth app need to connect to an existing EHR system?+
Usually, and it decides your timeline more than any other piece. Each EHR vendor exposes a different slice of its data through a different interface, so there's no generic connector to reuse. Map the fields your encounter record actually needs before scoping the integration. The vendor's API surface, not your app, sets the ceiling on what's possible.
Go deeper
- Healthcare hub →The industry hub this page belongs to.
- Healthcare software development →Clinical workflow, model drift, and what breaks after launch.
- HIPAA compliant software development →Required against addressable, and the order that makes it cheap.
- What is PHI? →The 18 identifiers that put a data field in scope, and where teams get the boundary wrong.
- Mobile app development →Apps that keep working when the signal does not.
