Healthcare
HIPAA-compliant telemedicine platform reduced patient wait times by 65%
We built a HIPAA-compliant telemedicine platform for a healthcare client, and patient wait times fell by 65%. This page keeps to what is on the record: what a platform like this has to do, how we approach the build, and that result.
The context
Remote care, under the rules that govern patient data.
The client needed to see patients remotely. Because the platform would handle patient health information, it had to be HIPAA-compliant, and that is not a feature you add at the end. It decides where data is stored, who can see it, and what has to be recorded every time someone does.
The result the project is known by is about patients rather than technology: how long they waited to be seen.
The challenge
Long waits usually come from the system around the call.
When patients wait a long time for a remote appointment, the video call is rarely the cause. The delay builds up in the parts around it: how appointments are booked, how a clinician sees who is next, and how much of the patient’s information has to be found before the consultation can start.
In healthcare those parts are harder to fix quickly, because each one touches patient data. A shortcut that would be fine in another industry, such as a general-purpose video tool or a shared spreadsheet of who is waiting, can put the whole service outside what the organisation is allowed to do.
So a problem like this is two problems at once: make the wait shorter, and do it inside a boundary that can be shown to an auditor.
What we built, and how
A telemedicine platform built to HIPAA.
We built the platform the client used to see patients remotely, and built it to meet HIPAA. We are not publishing the client’s details or the system’s internals here, so rather than a week-by-week account, this is how we approach a build of this kind.
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01
Start with the patient’s wait
For a system like this we start by following the journey from booking to consultation and finding where the minutes actually go. The build is then aimed at those points, not at the screens that are easiest to change.
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02
Draw the compliance boundary first
Before any feature work we decide where patient information may live, who can see it and what is logged. Encryption, role-based access and an audit trail of who viewed what belong in the design, not in a later phase.
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03
Plan for a poor connection
Remote care has to work for a patient on a weak signal. We design consultations to recover from a dropped connection without losing the appointment, because that case is normal rather than rare.
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04
Hand over something the client can run
Our builds end the same way: a red-team week before handover, a rehearsed rollback, and a runbook written for someone who was never on the project.
The result
Patients waited far less.
Patient wait times fell by 65%. That is the figure recorded for the project and the only one we publish for it.
We have not broken it down or added numbers around it. We would rather give you one result we can stand behind than a page of figures we cannot.
What changed
Compliance did not have to mean slow.
Healthcare teams are often told they can have a service that is quick for patients or one that is careful with their data, and that compliance is the reason everything takes so long. This project points the other way: the platform was HIPAA-compliant and patients waited 65% less.
For anyone running remote care, the lesson is that a long wait is usually a design problem. It can be engineered down without loosening the rules on patient data.
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Next step
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