SYSTEM / 004
ClinicAI
Single platform with a consistent data model for appointments, patients, doctors, and payments. Ongoing consultation view with structured notes for continuity of care.
Context
What this system is
Appointment and patient data scattered across tools lead to duplicate entry, inconsistent KPIs, and no single place to see an ongoing consultation. Manual follow-ups and payment tracking do not scale as clinic volume or locations grow.
Ownership
What I was responsible for
This is a self-directed system — I owned the architecture, engineering, and product decisions end to end.
Architecture · Engineering · Product
The Problem
What made it necessary
Appointment and patient data scattered across tools lead to duplicate entry, inconsistent KPIs, and no single place to see an ongoing consultation.
Architecture
How it's structured
- 01
Single platform and data model for appointments, patients, doctors, payments, and reports so one source drives all views.
- 02
Ongoing consultation view with structured patient info, MRN, special notes, and consultation notes so context is preserved across sessions.
- 03
Dashboard and list views backed by the same store so KPIs and lists stay in sync without separate pipelines.
Engineering Decisions
What shaped the system
- 01
Views designed for high daily appointment volume and multiple concurrent users (doctors, front desk).
- 02
KPI and trend indicators read from the same store as lists to avoid drift and duplicate aggregation logic.
Trade-offs
What was optimized for
Unified platform favored over best-of-breed per domain; extensibility and clear boundaries matter for long-term maintenance.
Structured notes and MRN required discipline in data entry in exchange for reliable continuity of care.
Outcome
Single data store for KPIs and lists to avoid drift and duplicate logic at scale.
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