SoftwareAI Automation
MediTask Pro: Healthcare Workflow Automation
Healthcare workflow automation across intake, tasking and documentation.
DisciplinesSoftware · AI Automation
Our roleDesign, build, release
Technologies
React
Node.jsPostgreSQLREST & webhooks
Python
PyTorch
ReactNode.jsPostgreSQLREST & webhooksPythonPyTorch
MediTask Pro
The challenge
What was in the way.
MediTask Pro needed software and ai automation work delivered as one system rather than split across vendors — healthcare workflow automation across intake, tasking and documentation.
Disciplines in scope
Hardware—
Firmware / IoT—
AI / MLIn scope
Web & mobileIn scope
How we built it.
We restated the brief as constraints — power, latency, cost, compliance — and named the ones that conflicted. A working slice through the riskiest layer was signed off first, then built out in two-week increments with one demo each, reviewed against the same engineering standard across hardware and software.
01Technical discovery
02Architecture & prototype
03Build & iterate
04Deploy & hand over
One team accountable for the whole stack, not a slice of it
A working prototype before the roadmap was fixed
Performance and reliability held to spec under real load
A handover the client's own team could carry forward
01Shipped
Delivered to production and still maintained by the team that built it.02Tested
One test matrix across hardware, firmware and interface — no gaps between layers.03Documented
Runbooks, monitoring and escalation handed over with the system.04Scaled
Grew with usage without re-architecture or a second rebuild.