01
Appointments in notebooks
Scheduling lives in paper registers and phone calls. Double bookings, missed patients and lost follow-ups are daily events.
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NeuroParsec: Clinic line, next step
The clinic system clinics grow into.
The next step up from the Knowledge Assistant: appointments, intake and follow-up for clinics, built on a proper health-data foundation instead of spreadsheets.
In development, spec stageNeuroParsec
The clinic system, on one foundation
Patient intakeStructured registration and history
AppointmentsScheduling and follow-up lists
Health recordsStandards-based records on FHIR
Follow-upNobody due is silently dropped
The problem
Clinics outgrow paper and chat.
02
Records that cannot travel
Patient information trapped in files and spreadsheets cannot be searched, shared safely, or built upon by any other tool.
03
No foundation to grow on
Clinics buy disconnected tools one at a time, and each new tool starts from zero because nothing underneath is standard.
What it does
What it will do.
Appointments and intakeStructured patient intake and appointment scheduling designed for front-desk reality.
Standards-based recordsHealth data held in FHIR resources, the international standard, so records stay portable and tools stay interoperable.
Follow-up built inLists of who is due what, and when, so follow-up is a system, not a memory test.
A growth pathClinics start with the Knowledge Assistant, then grow into the Suite on the same foundation.
How it works
The build sequence.
STEP 01
Specification
The product specification is written: scope, data model, and the clinic workflows it must serve. Done.
STEP 02
Foundation
The system is built on the Medplum health-data platform, in its own application repository, following the platform's own guidance.
STEP 03
Demo build
A working demo with fictional clinic data, the same honesty standard as the Knowledge Assistant demo.
STEP 04
Pilot
First real clinic pilots once the demo proves the flows end to end.
My layer
What I built.
My work so far: the product specification, the workflow design for intake, appointments and follow-up, and the architecture decision to build the application on a standards-based health-data platform rather than forking or rewriting a server core.
The rule I am following is the platform's own guidance: build an app on the foundation, in its own repository, and keep the core untouched.
Medplum (Apache-2.0).
Spec stage, stated plainly.
Specification written, architecture chosen, foundation selected. No running demo exists yet, and this page does not pretend otherwise.
Live preview
suite.simantomitro.com
Building something in health?
If this kind of system would help your clinic, organisation or team, the conversation starts with one cup of coffee.