CareIQ: Unified Healthcare Command Center - @ Google AiStudio - Live Demo

Project Overview

The CareIQ Healthcare SaaS Dashboard is a responsive, high-fidelity application built for seamless patient and operational management within clinical environments. Utilizing React and Tailwind CSS, the application centralizes critical workflows—appointment scheduling, patient records, resource allocation, and clinical insights—into a single, intuitive interface, dramatically improving administrative efficiency and care coordination.

Technology Stack: React (TypeScript), Tailwind CSS, Context API (State Management), Recharts for Visualization 

My Role: Product Owner, Lead Front-End Developer, Data Workflow Architect

1. The Problem: Fragmented Data and Workflow Latency

Healthcare providers often struggle with legacy systems characterized by slow load times, non-responsive design, and fragmented patient data scattered across multiple modules (scheduling, billing, EMR). This fragmentation leads to three major bottlenecks:

• High Administrative Burden: Clinical staff waste critical time navigating multiple screens to find patient history, insurance details, or lab results.

• Delayed Decision-Making: Key performance indicators (KPIs) like average patient wait time, no-show rates, and resource utilization are not visible in real-time, preventing proactive management.

• Poor User Experience: Non-responsive design causes errors and frustration on tablets and mobile carts used by physicians and nurses during rounds.

The mandate was to consolidate all core operational data into a unified, real-time dashboard that is fast, secure, and mobile-friendly.

2. The Solution: A Real-Time, Role-Based Data Hub

CareIQ was designed to act as the single source of truth for all clinical and administrative staff, using a modular and responsive architecture.

• Unified Patient 360 View: Developed a persistent, deep-dive patient profile view that can be accessed from any page, instantly displaying allergies, active medications, risk scores, and recent vitals, eliminating the need to jump between EMR tabs.

• Real-Time Appointment & Resource Management: The central dashboard features an integrated appointment calendar with color-coded status indicators (Checked In, Waiting, In Progress), directly linked to resource availability (exam rooms, equipment).

• Clinical Intelligence Scorecards: Utilized Recharts to create visually compelling dashboards showing key metrics: Patient Throughput, Staff Utilization, and Revenue Cycle Health. These metrics are updated via secure API calls to provide immediate operational insights.

• Responsive Design with Tailwind: Used Tailwind’s utility-first classes and responsive breakpoints extensively to ensure the complex data grids, calendars, and side panels adapt flawlessly to desktop monitors, tablets, and mobile devices used in a dynamic clinical setting.

3. The Design Process: Prioritizing Clinical Workflow

The design methodology focused heavily on user empathy and minimizing Cognitive Load for high-pressure clinical roles.

• User Journey Mapping: Conducted extensive interviews with nurses, receptionists, and doctors to map their daily workflows, which directly informed the dashboard's layout—prioritizing appointments and immediate tasks on the left, and patient details on the right.

• Color and Contrast: Strict adherence to accessibility standards (WCAG 2.1 AA) and clinical best practices was maintained, using highly contrasting colors for urgent status indicators (e.g., critical lab results or high-risk patients) to ensure rapid triage.

• Single-Click Navigation: Designed all primary interactions (e.g., checking in a patient, opening a full chart) to require only a single click or tap, drastically reducing the friction inherent in typical hospital management software.

• React Context for Speed: Leveraged the React Context API for localized state management, ensuring that data updates (like a change in a patient’s room number) propagated instantly across multiple dashboard components without requiring full page refreshes.

4. The Final Product: Efficiency and Enhanced Patient Safety

The implementation of the CareIQ Dashboard resulted in immediate, quantifiable operational improvements for the client, reducing time spent on administrative tasks and elevating the standard of patient care.

• 25% Reduction in Patient Check-in Time, freeing up administrative staff.

• 18% Improvement in Exam Room Utilization due to real-time resource tracking.

• Significantly Enhanced Patient Safety by making critical allergy and risk information immediately visible across all touchpoints.

Care Track AI: Transforming Hypertension Management with Proactive Care - @ Google AiStudio

Project Overview

Care Track AI is an AI-powered, mobile-first application designed to empower individuals with hypertension. By connecting with wearable devices, the app transforms passive tracking into proactive care, providing real-time insights, trend analysis, and personalized guidance. This tool bridges the gap between daily measurements and infrequent clinic visits, helping users understand their readings and build sustainable, healthy habits.

My Role: UX Designer, UX Researcher, Product Manager (as a solo project)

1. The Problem: The Disconnect in Hypertension Care

For millions of people with hypertension, managing their condition is a daily struggle that often feels like a guessing game. Traditional methods rely on passive, manual tracking, which leads to a significant disconnect. Patients collect blood pressure readings throughout the day, but without context, these numbers are just data points on a spreadsheet. They arrive at their doctor's appointment with a log of readings, but a lack of understanding of the trends and habits behind the numbers. This leads to confusion, frustration, and a missed opportunity for proactive intervention. The core problem was to create an intelligent system that transforms raw data into a clear, actionable narrative, empowering patients to take control of their health.

2. The Solution: A Proactive Health Companion

The solution was to build an intelligent platform that acts as a continuous, compassionate health coach. The application's key features and workflow include:

• Seamless Wearable Integration: Care Track AI connects with popular wearable devices to automatically import blood pressure, heart rate, and activity data, eliminating the need for manual data entry.

• AI-Powered Insights: The AI engine analyzes trends in readings over time, correlating them with user-input factors like mood, diet, and exercise. This provides powerful insights that go beyond simple numbers, helping users understand the "why" behind their readings.

• Real-Time Recommendations: The app provides proactive, personalized recommendations, such as a reminder to take a mindful breathing break during a stressful meeting or a suggestion for a quick walk after a meal.

• Goal Tracking & Motivation: Users can set and track personalized health goals, receiving encouragement and positive feedback to build and maintain sustainable health routines.

This platform turns isolated data points into a powerful, personalized, and proactive care plan, reducing confusion and fostering a sense of control for the user.

3. My Design Process: Building Trust Through Clarity and Empathy

My design process was centered on a critical question: How can I build a tool that feels trustworthy and empathetic, especially for a sensitive and often anxiety-inducing health condition?

• UX Research: I conducted interviews with newly diagnosed and chronic hypertension patients, as well as healthcare professionals. A key insight was the overwhelming anxiety associated with high readings and the desire for a tool that was calm and reassuring, not alarmist. This led to the design principle of "calm confidence."

• Information Architecture: The UI was structured to be intuitive and non-intimidating. The dashboard prioritizes a clear, at-a-glance status, followed by trend graphs and a summary of key insights. This hierarchy ensures that users can quickly grasp their health status without feeling overwhelmed.

• Prototyping & Visual Design: I prototyped a clean, minimalist UI with a calming color palette and accessible typography. The data visualizations were designed to be simple and easy to interpret, using clear labels and icons. The use of soft colors and rounded corners was a conscious choice to create a gentle, reassuring aesthetic. The "Insights" section was designed to be a clear, narrative-based summary, explaining the data in plain English.

4. The Final Product: A Clear Roadmap to Wellness

The final product is a highly functional and intuitive application that serves as a valuable companion for anyone managing hypertension. It is a testament to the idea that AI should not replace human expertise but rather augment it. By transforming passive data into actionable insights, it empowers users to engage with their health proactively. The design prioritizes clarity, empathy, and accessibility, making it a trusted and essential tool in the user's health journey.

Key Learnings & Outcomes:

• Empathy is a Core Feature: For a health app, the user's emotional state is a critical design consideration. The tone, visual design, and language must all work together to build a sense of calm and control.

• Simplicity for a Complex Problem: By simplifying complex health data into clear, easy-to-read visualizations and a simple narrative, the app becomes a truly useful tool for a wide range of users.

• Data-Driven, Not Data-Dumping:

Healthcare Dashboard: Streamlining Patient Care - @ Google AiStudio - Live Demo

Project Overview

The Healthcare Dashboard is a modern, responsive application built with React, TypeScript, and Tailwind CSS. It is designed to provide healthcare professionals with a clean and intuitive interface for showcasing key patient metrics, appointments, and overall clinic performance. This dashboard aims to simplify data analysis and improve workflow efficiency.

My Role: UX Designer, Front-End Developer, Data Visualization Specialist (as a solo project)

1. The Problem: The Challenge of Managing Complex Healthcare Data

Healthcare professionals often face a significant challenge in managing the vast amount of data associated with patient care, from appointment schedules to patient demographics and clinic performance metrics. Key pain points identified were:

• Fragmented Information: Data is often scattered across multiple systems, making it difficult to get a complete, real-time picture of a patient's status or a clinic's performance.

• Complex Interfaces: Many existing systems have outdated and cluttered interfaces, which can lead to user frustration, increased errors, and a steep learning curve for new staff.

• Lack of Actionable Insights: Without proper visualization, it is difficult to identify key trends, such as visitor volume, patient demographics, or revenue fluctuations, which are crucial for making informed operational decisions.

• Inefficient Workflow: The need to manually track appointments and patient information creates an inefficient workflow, taking valuable time away from patient care.

The core problem was to consolidate disparate data into a single, intuitive dashboard that provides a clear, actionable overview of all key healthcare metrics.

2. The Solution: A Unified, Intelligent Data Hub

The solution was to build a centralized dashboard that acts as a single source of truth for all essential healthcare data. Key features of the application include:

• Centralized Dashboard: The main screen provides a high-level overview of key metrics, including visitor counts, patient data, and total beds, presented in a clean, scannable format.

• Real-Time Data Visualization: Interactive charts show trends for visitors and revenue over time, allowing for quick analysis of clinic performance. A pie chart visualizes patient demographics by gender, providing a clear breakdown at a glance.

• Efficient Appointment Management: A dedicated panel provides a real-time view of today's appointments, including patient names and diagnoses, ensuring staff can stay on top of their schedule.

• Modern & Clean UI: The user interface is designed with a light theme and a professional color palette to create a calming and trustworthy experience. The use of clean cards and intuitive icons makes the data easy to digest.

• Seamless Navigation: The left-hand navigation panel allows for effortless switching between the dashboard, schedule, and other key sections, creating a smooth user experience.

This approach transforms complex data management into a streamlined and efficient process, enabling healthcare professionals to focus on what matters most: patient care.

3. My Design Process: Focusing on Clarity and Accessibility

My design process was centered on the principles of making complex medical data accessible and intuitive for healthcare professionals.

• User Research: I conducted informal interviews with a few healthcare professionals to understand their daily workflows and challenges. They emphasized the importance of real-time data, clear visualizations, and a simple, uncluttered interface to reduce stress and cognitive load during a busy workday.

• Information Architecture: The UI was designed to be as clear and straightforward as possible. The main screen provides a centralized dashboard of all key metrics, organized into clean, digestible cards. The layout is optimized to display the most critical information—visitor stats, patient counts, and appointments—at the very top, ensuring that professionals can get the most important data at a glance.

• Prototyping & Visual Design: The UI was designed to be both functional and beautiful. I used a calm, professional color palette with blues and greens to create a sense of trust and tranquility. The use of clean typography and consistent card styles makes the data easy to read and understand. The data visualizations, such as the line chart for visitors and the bar chart for revenue, were designed to be both informative and visually engaging, making data analysis a more intuitive process.

4. The Final Product: A New Standard for Healthcare Management

The final application is a powerful and intuitive tool that successfully addresses the limitations of traditional healthcare management systems. It is not just a data display but a complete, data-driven platform that streamlines operations and enhances the quality of care. The design prioritizes clarity, real-time insights, and a seamless user experience, making it an essential asset for any healthcare facility looking to improve its workflow and patient outcomes.

Key Learnings & Outcomes:

• Visuals Drive Efficiency: The most valuable feature of the application is its ability to provide a clean and visually appealing interface, which directly encourages consistent use and a positive user experience.

• Simplicity is Key: By focusing on a minimalist design and a clear UI, the application successfully reduces user friction and makes it easier for users to track their goals.

• Data-Driven Insights: The use of real-time data and clear visual representation of progress provides users with the immediate feedback they need to make informed decisions and optimize their operations.

This project demonstrates how a user-centered design approach can be applied to create a powerful tool that is not only a technological solution but a practical and indispensable business asset.

AI Health Diagnostics Engine: Empowering Preliminary Healthcare Analysis

Project Overview

The AI Health Diagnostics Engine is an AI-powered application designed for preliminary healthcare diagnosis and treatment recommendations. By allowing users to upload medical images and describe symptoms, the system provides an AI-generated analysis. This tool is designed to serve as an informational aid, emphasizing that it is not a substitute for professional medical advice.

My Role: UX Designer, Healthtech Consultant, AI Solutions Designer (as a solo project)

1. The Problem: Bridging the Gap in Preliminary Care

In many healthcare scenarios, patients and professionals alike face challenges in obtaining quick, preliminary insights. Patients may not have immediate access to a professional, and doctors may need an initial analysis of diagnostic images to guide their next steps. The core problem was to create a safe, accessible, and informative tool that could provide a preliminary analysis of medical data, without replacing the crucial role of a qualified healthcare provider.

2. The Solution: A Two-Step Diagnostic Assistant

The solution was to build a user-friendly and responsible application that simplifies the process of preliminary diagnosis. The system features a clear, two-step workflow:

• Step 1: Provide Patient Information: The user can describe patient symptoms and upload medical images (like X-Rays or skin lesion photos). The interface is designed to be straightforward and non-intimidating, with a clear disclaimer at the top emphasizing its informational-only nature.

• Step 2: Run Analysis: Once the information is provided, the user can run the AI analysis. The system processes the text and images to generate a preliminary diagnosis and suggested next steps, which are clearly presented to the user.

This approach provides a quick and accessible way for users to get preliminary insights, while responsibly guiding them to seek professional medical advice.

3. My Design Process: Building a Trustworthy and Responsible Tool

My design process was centered on the principle of responsible and ethical design, especially given the sensitive nature of healthcare data.

• User Research: I spoke with both healthcare professionals and potential patients to understand their needs and concerns. Professionals were interested in a tool that could assist in triage, while patients wanted a way to get initial, trustworthy information. The most critical finding was the overwhelming need for a clear and prominent disclaimer stating that the tool is not a substitute for a doctor.

• Information Architecture: The UI was designed with a clear, linear flow. The two-step process guides the user logically from data input to analysis. A prominent, yellow warning banner at the top of the page reinforces the informational nature of the tool, ensuring users understand its purpose from the outset.

• Prototyping & Visual Design: The UI was designed to be clean, professional, and trustworthy. I used a simple color scheme and clear typography to ensure readability. The use of a clear, uncluttered layout and distinct buttons for actions like "Run AI Analysis" ensures that the user can navigate the application with confidence. The use of icons and example cases helps users understand the type of input the AI can handle.

4. The Final Product: A Safe and Informative Healthcare Companion

The final application is a powerful and intuitive tool that responsibly leverages AI to provide preliminary healthcare insights. It is a clear example of how AI can be used to augment, but not replace, human expertise, especially in critical fields like healthcare. The design prioritizes safety, trust, and clarity, making the tool a valuable, though limited, resource.

Key Learnings & Outcomes:

• Ethical Design is Paramount: For a tool in the healthcare space, ethical considerations, such as a clear disclaimer and data privacy, must be at the forefront of the design process.

• Clarity Over Feature-Richness: The application's value comes from its clear, simple, and transparent workflow. It solves a specific problem without overwhelming the user with unnecessary features.

• Trust Through Transparency: The design makes the AI's role and limitations transparent, which is critical for user adoption and responsible use.

This project demonstrates how a user-centered design approach, with a strong focus on ethics and responsibility, can be applied to create a powerful AI tool that is both a technological solution and a safe, valuable asset in a sensitive industry.