CASE STUDY

MAIA AI-Powered Healthcare Platform for Elderly Patients with Chronic Conditions

Transforming elderly care through accessibility-first UX and AI-driven health management

90%
UX research & design leadership
30%
Reduction in cognitive load through simplified flows
3 stakeholders
Patients, caregivers, doctors
300+ hours
User testing & accessibility research
01

Executive Summary

A growing elderly population faced medication mismanagement and health decline due to fragmented caregiver communication and inaccessible digital tools. I led the strategic design and development of an AI-powered healthcare platform with accessibility-first principles, delivering a system that reduces cognitive burden by 30% and enables real-time health monitoring across patients, caregivers, and doctors.

02

Client & Challenge

Fragmented health monitoring increased risk of hospitalization and reduced caregiver efficiency. The absence of a centralized platform resulted in medication errors, poor adherence, and limited visibility for healthcare professionals.

Industry
Digital Health & AI
Client Type
University-Led Healthcare Innovation Initiative
Pain Point
Elderly patients with chronic illnesses struggle with medication adherence and digital interfaces not designed for cognitive decline
Stakeholders
Elderly Users, Caregivers, Healthcare Professionals
03

Our Approach & Solution

Technical Implementation

Designed Figma prototype with WCAG-compliant accessibility, voice navigation, and high-contrast UI to support visually impaired and cognitively challenged users.

Implemented elderly-first interaction patterns: large touch targets, linear navigation, voice-triggered actions.

User-Centered Design

Conducted 300+ hours of real user testing and interviews across patients, caregivers, and doctors.

Reduced user flow steps by 40% to prevent confusion and improve adherence.

SEO Strategy

Integrated AI-driven medication reminder logic and nutritional guidance tailored to chronic conditions (hypertension, diabetes, Alzheimer’s).

Designed predictive dashboards for doctors to track real-time patient vitals and intervene before medical emergencies.

04

Impact & Results

Patient adherence

Reduced cognitive overload by 30%, improving proactive medication engagement

Caregiver Efficiency

Designed automated AI alerts, eliminating manual follow-up processes

System Adoption

Platform optimized for users with no prior technology proficiency

Risk Mitigation

Enabled early detection of health anomalies through real-time monitoring workflows

05

Client Testimonial

“This AI prototype redefines elderly healthcare. Its accessibility-first approach finally bridges the gap between patient usability and clinical oversight.”
– UNIMAS Medical Students

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