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Case Study

Chikit.AI

An end-to-end AI-powered healthcare platform built from 0 to 1 — covering intelligent patient assessment flows, multi-enterprise RBAC dashboards, real-time discharge automation, and a progressive web app for frontline clinical workflows.

RoleLead Product Designer
Timeline2024 – 2025
PlatformsWeb App · PWA
IndustryHealthcare AI
Chikit.AI Platform Overview

The Impact

0→1

Full Platform Ownership

Defined information architecture, user flows, and component system from scratch.

3+

Enterprise Portals

Separate dashboards for Hospitals, Clinics, and Super Admins with RBAC controls.

AI

First-of-Kind Flows

Designed novel interfaces for LLM-powered discharge summaries and patient file analysis.

The Challenge.
Designing for life-critical workflows.

Healthcare systems are notoriously fragmented. Clinicians must navigate multiple tools — patient records, assessment forms, discharge documents — resulting in wasted time and critical errors.

Chikit.AI needed a single, intelligent platform that could consolidate these workflows while introducing AI assistance without overwhelming clinical staff who may not be tech-savvy.

Key Design Problems

AI Trust BarriersClinicians needed to trust AI-generated summaries before acting on them. Designed Human-in-the-Loop validation flows.
Multi-Role ComplexityDoctors, nurses, admins, and super-admins all needed different access levels and UI density.
Mobile-First ConstraintsFrontline staff use phones. PWA had to feel native with offline support and fast load times.
Information Architecture at ScaleHundreds of patient data points had to be surfaced contextually, not dumped on one screen.

Platform Modules

01

AI Assessment Flow

Conversational symptom capture with AI-generated preliminary reports. Designed for both in-clinic tablets and patient self-serve kiosks.

AI/MLConversational UIPWA
02

Patient File Analysis

Upload any document — lab report, scan, prescription — and the system extracts and structures the data automatically, surfacing key insights to the doctor.

LLMDocument AnalysisRAG
03

Discharge Summary Automation

AI generates discharge summaries based on visit data and doctor notes. Doctors review, amend, and approve — not write from scratch.

HITLAutomationNLP
04

Enterprise RBAC Dashboard

Multi-tenant management for hospital chains. Super-admins manage clinics, access levels, billing, and analytics across all locations.

RBACMulti-TenantEnterprise
MODULE 01

Assessment & Patient Flow

End-to-end patient journey from intake to discharge.

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MODULE 02

Clinical Dashboard

Doctor-facing dashboards with AI-assisted diagnosis tools.

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MODULE 03

Enterprise Management

RBAC admin panel for multi-clinic management.

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