📌 Product Title - DEMO

HealthCare AI Dashboard – Smart Analytics & Patient Management

📌 Product Description

The HealthCare AI Dashboard is a real-time analytics and management platform designed to help hospitals, clinics, and healthcare professionals monitor patient flow, staff performance, and operational efficiency. Built using Google AI Studio, the dashboard combines AI-powered insights with an intuitive UI to ensure better decision-making, optimized resource allocation, and improved patient care outcomes.

✨ Key Features:

• Real-time monitoring of patients, lab tests, average bills, and doctor availability.

• AI-driven patient flow predictions (admissions vs. discharges).

• Department-wise patient distribution insights.

• Upcoming appointment tracking & doctor performance analytics.

• Dark-mode friendly, responsive design for desktop & tablet use.

📌 UX Process & Methods

1. User Research & Discovery

   • Stakeholders: Hospital administrators, doctors, healthcare data analysts.

   • Identified challenges: scattered data, lack of predictive insights, difficulty tracking department workloads.

2. Information Architecture (IA)

   • Structured into dashboards, charts, pages, data archiving, and maps.

   • Clear navigation for quick access to KPIs and patient data.

3. Wireframing & Prototyping

   • Initial sketches for dashboard cards (patients, lab tests, bills, doctors).

   • High-fidelity prototypes tested for readability under high-stress medical conditions.

4. Usability Testing

   • Tested with doctors & administrators for quick data retrieval.

   • Improved chart readability, KPI placement, and notification alerts.

5. Design System & Accessibility

   • Used color-coded KPIs (green = positive, red = negative, yellow = caution).

   • WCAG 2.1 compliance for readability and contrast.

   • Responsive grid layout for different devices.

📌 Technology Stack

Frontend:

• React.js (dashboard UI & components)

• TailwindCSS (responsive design)

• Chart.js / Recharts (interactive charts & graphs)

Backend & AI:

• Node.js + Express.js (API services)

• Google AI Studio (predictive analytics, anomaly detection, patient flow forecasting)

• TensorFlow.js (AI model integration for healthcare trends)

Database:

• Firebase Firestore / MongoDB (patient records, appointments, KPIs)

Deployment:

• Google Cloud Platform (App Engine, Firebase Hosting)

• Docker (for containerized deployment)

Integrations:

• Role-based authentication (admin, doctor, staff)

• Notification & alert system (critical updates, lab results)

📌 Case Study (1-Page Format)

🟢 Project Overview

The HealthCare AI Dashboard is a centralized analytics platform designed for hospitals and clinics. Built with Google AI Studio, it provides real-time KPIs, predictive insights, and visual dashboards to enhance patient management and operational efficiency.

🟢 Problem Statement

• Hospitals face data overload spread across multiple systems.

• Lack of predictive analytics for patient admissions & discharges.

• Administrators and doctors need a real-time view of operations to make faster decisions.

🟢 Solution

• Designed and developed a real-time healthcare dashboard to track patients, lab tests, billing, and doctors.

• Integrated AI-driven insights for patient flow prediction and anomaly detection.

• Built a dark-mode optimized UI for easier use in hospital environments.

🟢 Design Process

1. Research – Conducted stakeholder interviews (doctors, admins, staff).

2. Wireframes – Designed KPI cards, flow charts, and patient distribution widgets.

3. Prototyping & Testing – Iterated based on real hospital workflows.

4. Final UI – Delivered responsive, data-driven dashboard with AI-enhanced insights.

🟢 Final Product

• Centralized patient flow visualization (admitted vs. discharged).

• Department-level distribution for workload tracking.

• AI-powered predictive insights for admissions.

• Upcoming appointments & top doctor performance metrics.

Outcome: Hospitals can now track KPIs in real-time, reduce bottlenecks, and make data-driven decisions faster, improving efficiency and patient care quality.

✅ This case study positions your HealthCare AI Dashboard as a scalable, AI-powered healthcare solution ready for enterprise deployment.