CareBridge Accessibility First Healthcare for Everyone in Need

CareBridge Accessibility First Healthcare for Everyone in Need

Eight CareBridge app screens that show a welcome screen, privacy consent, insurance setup (scan card or enter manually), Visits screen with AI Assistant prompt, AI Assist conversation where the user types "fever" and is asked about symptom duration, appointment confirmation, and accessibility personalization screen with a larger text toggle switched on.
Eight CareBridge app screens that show a welcome screen, privacy consent, insurance setup (scan card or enter manually), Visits screen with AI Assistant prompt, AI Assist conversation where the user types "fever" and is asked about symptom duration, appointment confirmation, and accessibility personalization screen with a larger text toggle switched on.
Eight CareBridge app screens that show a welcome screen, privacy consent, insurance setup (scan card or enter manually), Visits screen with AI Assistant prompt, AI Assist conversation where the user types "fever" and is asked about symptom duration, appointment confirmation, and accessibility personalization screen with a larger text toggle switched on.

Project

App Design
App Design

Timeline

4 weeks
4 weeks

Company

CareBridge
CareBridge

Tools

Figma, Anything.com, Miro, WebAIM Role
Figma, Anything.com, Miro, WebAIM Role

Role

Product Designer
Product Designer

In a rush? Check out the prototype.

👀 Overview

CareBridge is accessibility-first healthcare app designed for the people most healthcare apps forget. For example, the ones who are already sick, fatigued, or overwhelmed when they open it. CareBridge combines AI-assisted appointment booking, plain-language consent, and accessibility personalization from the very first screen.

📋 Problem Statement

Most healthcare apps aren't built for the people who are the low-tech users, the chronic condition patient, or the person booking a doctor at 11 pm with a three-day fever.

🎯 Goal

  • Reduce cognitive load for sick, fatigued, and overwhelmed users.

  • Make accessibility present from onboarding, not buried in settings.

  • Build trust through transparency: plain-language consent, upfront co-pay visibility, and full user control over their data.

🔎 Research

To understand what people actually experience with healthcare apps, I conducted social listening across Reddit threads and healthcare forums.

Consistent patterns:

  • Healthcare portals feel overwhelming: Patients described apps as cluttered, hard to navigate, and cognitively exhausting, especially older adults and people managing chronic conditions.

  • Communication is unclear: Lab results and appointment summaries often appear without explanation. Medical jargon creates anxiety instead of clarity.

  • Apps assume users are fully healthy and tech-savvy: Many patients using these platforms are dealing with fatigue, pain, brain fog, or stress. The systems don’t account for fluctuating capacity.

  • There’s no clear path when something doesn’t work: Users experiencing accessibility barriers don’t know where to report issues or who is responsible.

  • Insurance and pharmacy coordination create friction: Determining coverage, confirming preferred pharmacies, and tracking prescriptions are repetitive and confusing tasks.

Six users: the acutely sick patient who needs fast, simple booking; the invisible disability user who needs plain language and low cognitive load; the low health literacy user who needs guided flows and plain-language summaries; the older adult who needs large text and a call-to-book option; the chronic condition patient who needs prescription tracking and refill reminders; and the first-time care navigator who needs step-by-step guidance and co-pay visibility

📊 Competitive Analysis

A feature comparison of other healthcare platforms across accessibility, onboarding, booking, and post-visit categories

Several key features were either partially implemented or missing entirely across competing platforms. Features that CareBridge made non-negotiable:

  • Dedicated accessibility settings in onboarding

  • Screen reader support

  • Report accessibility issues on every screen

  • Context setting before sign-up

  • Plain-language consent and privacy page

  • In-app account deletion

  • Symptom-based booking

  • Co-pay shown upfront

  • Insurance card scan

  • Call-to-book option on every screen

  • Plain-language visit summary

  • Prescription explanation in plain language

🗺️ User Flow

Welcome screen → consent → insurance setup (scan or manual) → OTP verification → accessibility personalization → home screen. Booking: three paths - AI assist (symptoms → duration → care type → ZIP code), by care type, or manual (browse → select provider → date and time) - all lead to confirmation. Prescriptions: view medications → add new → delivery or pickup. Call to Book and Report Accessibility Issues buttons are present on every screen.

🧪 Usability Testing

I ran usability testing sessions using a think-aloud protocol with two tasks:

  1. Complete onboarding,

  2. Book an appointment based on your symptoms.

I treated this as an agile sprint where I did a few rounds of interviews, made changes, and tested again.

Round 1

Problem: Participants were confused when the consent screen appeared before they understood what the app was. They were being asked to agree to something before they knew what they were agreeing to.

Fix: Added a welcome screen before consent.

Round 2

Problem: A participant stopped mid-flow and asked what would happen to their data. How could they trust sharing something with AI, and would it even be accurate?

Fix: A dedicated consent and privacy page, written in plain language, explaining exactly how AI data is collected, used, and shared.

Round 3

Problem: There was no way to delete your account from within the app. For a product asking people to hand over sensitive health data, that was a trust gap.

Fix: Adding in-app account deletion was a small change in how safe users felt.

What users loved:

  • Accessibility personalization right at the start, not hidden in settings.

  • Easy booking with comfortable, guided choices

  • AI used to book faster, not to diagnose

  • In-network status, co-pay, and distance all in one view

  • Refill reminders

  • Home delivery option for medications

My learning

  • Inclusive design: Designing for the person who is sick, fatigued, and overwhelmed makes the experience better for everyone.

  • Tools: Hands-on experience with vibe coding tools like Anything.com helped me build a working prototype fast.

  • MoSCoW framework, HIPAA, and GDPR: A working understanding shaped how I think about data, consent, and trust throughout the project.

I came into this project interested in accessibility. I left it convinced that accessibility in healthcare isn’t a niche concern. It’s the whole point.

Future scope

I’d love to explore multi-language support, caregiver access, and integration with health wearables for users managing chronic conditions.