HairStim Labs
Personalized Prescription Platform — hairstimlabs.com
Company overview
HairStim Labs delivers dermatologist-designed hair-loss treatments. Their clinical model depended on personalization, but one-size-fits-all protocols and manual prescription workflows made it impossible for dermatologists to manage large patient cohorts.
The business challenge
What we were trusted to solve.
Personalized hair loss treatments were impossible to scale. One-size-fits-all protocols limited clinical efficacy and prevented dermatologists from managing large patient cohorts efficiently.
Our solution
Built a custom platform allowing dermatologists to create and manage individualized prescriptions at scale, with seamless patient workflows, automated fulfillment routing, and a scalable architecture built for growth.
Technical constraints
The guardrails we designed within.
Clinician-first workflows
Dermatologists, not engineers, had to be able to compose and adjust prescriptions.
Scale personalization
Every patient plan is unique — the system had to make that cheap to produce and manage.
Fulfillment routing
Approved prescriptions had to flow cleanly into fulfillment without re-keying.
Discovery process
Mapping the real system before touching it.
- 01
Clinical workflow mapping
Shadowed the prescribing process to model how plans are actually created and revised.
- 02
Data model for personalization
Designed a schema that treats a personalized plan as first-class, not a special case.
Architecture decisions
How it fits together.
A Laravel platform on Aurora gives dermatologists a structured way to build and manage individualized prescriptions at scale, with automated routing into fulfillment.
Plan-as-data model — Personalized prescriptions modeled as structured, versioned records — searchable and auditable.
Aurora for growth — Managed, scalable storage sized for expanding patient cohorts.
Technology stack
What it runs on.
Implementation timeline
From discovery to production.
Weeks 1–2
Clinical discovery
Mapped prescribing workflows with the dermatology team.
Weeks 3–8
Platform build
Plan builder, patient records, and fulfillment routing.
Weeks 9–10
Rollout & training
Onboarded clinicians and tuned the workflow.
Key features
What shipped.
Prescription plan builder
Compose individualized treatments from a structured catalog.
Patient cohort management
Manage many personalized plans without losing the thread on any.
Results & performance
The outcome, measured.
Dermatologists can now deliver genuinely personalized treatments at scale — with efficient workflows and a platform built to grow with the practice.
Auricorium built a platform that lets us deliver personalized treatments at scale — efficient, reliable, and completely patient-focused.
Lessons learned
What we'd tell the next team.
Model the domain object, not the form. Treating a personalized plan as first-class data unlocked everything else.
Related work
More platforms we shipped.
Have a system that needs this kind of rigor?
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