AI Innovation & HealthTech

Healthcare Dashboard

JSQ Spine & Wellness Centre along with Roots-ma Clinic was operating at 60 to 90 patients per day across multiple providers using Jane App for booking. However, real-world clinic operations were fragmented. Walk-ins, phone bookings, late arrivals, room bottlenecks, and insurance verification gaps created operational friction.

I designed and piloted MVP internal operational workflow system that unified all patient entries into a single Visit pipeline, introduced real-time flow visibility, reduced duplicate intake work, and improved clinic-wide decision making.

1

Project Details

Project:

UX/UI Product Design

Timeline:

Sept 2025 - Dec 2021

Status:

Pilot Version

Mentors:

Dr. Shah, Dr. Michiko

Overview

While Jane App handled scheduling and patient records, the clinic’s day-to-day operations relied heavily on manual coordination.

This created gaps between scheduled intent and real-world execution.

I designed an internal operational system that unified all patient interactions into a single workflow, enabling real-time visibility, reducing coordination overhead, and improving decision-making during peak hours.

Designed and prototyped an AI driven internal operations platform for a multi service chiropractic and acupuncture clinic. The goal was to streamline scheduling, improve patient retention, reduce wait times, and provide real time operational visibility for administrators and practitioners.

Built using AI accelerated workflows with Lovable.ai, then refined using structured UX systems thinking and healthcare compliance considerations.

Unified Operational System for a Multi-Provider
Healthcare Clinic

Key Results & Impact

1

Nominated for Top Innovation Award in Healthcare & Wellness Domain

73% success rate in handling of complex clinic workflows via AI bot

2

100% WCAG and ADA-compliant accessible interface for all staff

3

Supported by Ministry of Health Organisation

4

Standardized staff workflows to minimize errors and inconsistencies by 80%

5

Replaced hours of manual coordination with a centralized operations system

6

How Did We Get There?

The Problem

The Goal

Transform complex health data processes into simplicity through human-centered design while maintaining zero room for error, moving staff from clerical firefighting to strategic analysis.

The Team

Collaborated with front desk staff, providers, and clinic management to design a system that fits seamlessly into daily clinic operations.

Staff faced administrative burnout from manual friction, spending weeks sorting fragmented data and fixing errors while decades of expert knowledge was disappearing.

The Challenge

JSQ Spine & Wellness and Roots-MA Clinic manages thousands of high-stakes health data requests governed by strict privacy laws.

Staff spent weeks sorting data and fixing errors leading to delays and bottlenecks

Manual Friction

Key processes like intake, insurance checks, and payments were inconsistently managed

Operational Loss

Every request must meet HIPPA and EHR regulations along with adhering to ADA/WCAG standards

Privacy Compliance

Existing workflows were not designed to handle peak-hour patient volume efficiently

Scalability Issues

The Transformation

We moved doctors from clerical work to strategic analysis.

Managing bookings across disconnected channels

Before

One dashboard with all work in one queue

After

Intake

1

Scattered and inconsistent patient entries

Before

AI assisted documentation and retrieval

After

Clinical Documentation

2

errors due to manual coordination and memory

Before

Auto-fill flows data into drafts

After

Data Entry

3

Inconsistent handling of insurance, payments, and intake steps

Before

Structured workflows with built-in checks and exception tracking

After

Risk & Compliance

4

Working Prototype Below (Sanitised Version)

Technical Architecture

Built using a scalable, API-driven system integrating Jane App with AI-powered automation and analytics. Solution designed to streamline end-to-end clinical operations in real time

FRONTEND

BACKEND LAYER

DATA INTEGRATION

AI AUTOMATION

React.js

Used to build the dashboard interface

for front clinic managers and providers.

TypeScript

Used for scalable, structured, and

maintainable application logic.

Tailwind CSS

Used to create a clean, responsive, and

component-based healthcare

dashboard interface.

Node.js

Used to handle API orchestration,

business logic, and secure

communication between Jane App

and the dashboard.

REST APIs

Used to fetch and sync appointments,

patient records, scheduling data, and

billing-related information.

Jane App API

Used as the primary source for appointment scheduling, patient records, treatment history, and operational data.


PostgreSQL

Used to store synced clinic data, dashboard states, alerts, internal notes, and reporting structures.

Webhooks

Used to keep dashboard data updated in near real time.

OpenAI API / LLM-

based workflow assistant

Used for AI-powered summarization, smart documentation support, workflow recommendations, and operational insights.

Automation Engine

Used to trigger follow-ups, no-show alerts, reporting workflows, and documentation tasks automatically.

How the System Works

  • The system captures data from multiple entry points including Jane App, walk-ins, and manual inputs, and processes it through an AI-driven workflow engine.

  • This enables automatic scheduling updates, documentation generation, and operational insights without manual intervention.

  • What previously required coordination across multiple tools is now handled within a single, intelligent system that updates in real time.

ANALYTICS & REPORTING LAYER

Custom Charts

Used to visualize clinic KPIs such as:

  • patient flow

  • provider utilization

  • no-show rates

  • appointment volume

  • revenue trends

SECURITY & COMPLIANCE LAYER

Role-Based Access Control (RBAC)
Used to ensure different access levels for front desk staff, practitioners, and admins.

Encrypted data transmission via HTTPS / secure API handling
Used to protect patient and operational data across systems.

Audit logging
Used to track workflow actions, record updates, and administrative changes.

By integrating with Jane App and layering AI-driven automation, the system evolved from fragmented scheduling and manual documentation into a unified clinical workflow engine—enabling real-time visibility across appointments, patient records, and operational performance.

💡

Key Insight

“What shipped”

“What shipped”

“What shipped”

The dashboard was rolled out internally to front desk staff and providers as a day-to-day operational tool, replacing ad-hoc coordination through paper notes, verbal updates, and manual schedule checks.
• Reduced administrative friction through centralized visibility
• Increased operational efficiency with AI driven alerts
• Improved patient retention through treatment tracking
• Enabled data informed staffing decisions

This project demonstrates how I use AI accelerated workflows without sacrificing structured UX thinking to design systems that are realistic, scalable, and ready for implementation.

Previous

XR Gaming Interface

Next

The Glimpse Group

Got a project in mind? Tell me about it

Hi, I’m Priyam Joshi, a Designer who turns curiosity into meaningful experiences. I bridge human emotion, technology, and strategy to craft experiences that don’t just look good they work beautifully. As a UX Designer and Researcher, my passion lies in uncovering the “why” behind user behavior and transforming insights into inclusive, data-driven design systems that create real business impact.

Ready to start? Click here.