Alz Well 치매 케어 시스템 by Akhil Patel is a highly esteemed winner of the very prestigious 2025 A' Design Award 동상 in 디지털 제품 디자인 Competition Category.

동디지털 제품· 2025

Alz Well 치매 케어 시스템

by Akhil Patel

Client: Akhil Patel Designs

A' Design Award 동상 Winner in 디지털 제품 Category

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Verified Award Winner
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View at A' Design Award Press Release Award Badge

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The Design

About Alz Well 치매 케어 시스템

Alz Well은 치매 간병인과 환자를 위한 디지털 케어 시스템입니다. 이 시스템은 야간 사용을 위한 다크 모드를 갖춘 간병인용 애플리케이션, 간단한 음성 및 원탭 조작이 가능한 스마트 밴드, 대화면 스마트 스피커로 구성됩니다. 위치 추적 기능은 배회하는 환자를 간병인이 찾을 수 있도록 도와줍니다. 자동 추천 기능이 포함된 중앙 일정 관리는 일상 생활을 지원하며, 웰니스 대시보드는 환자와 간병인의 상태를 보여줍니다. 익숙한 목소리 옵션과 상황에 맞는 이미지는 환자가 기억을 떠올리는 데 도움을 줍니다. 여러 가지 치매 케어 요구를 하나의 시스템으로 해결합니다.

The Recognition

About the A' Design Award 동상

Alz Well 치매 케어 시스템, 이 작품은 A' Design Award 동상 수상작으로, 창의성, 독창성, 영민함으로 돋보이는 뛰어난 디자인에 수여되는 높은 권위의 인정입니다. 동상 수상작은 충분히 숙련되고 인상적으로 창의적인 작품으로, 디자이너의 폭넓은 경험, 상상력, 기지를 입증합니다. Alz Well 치매 케어 시스템, 이 작품은 높이 평가받고 감탄과 사랑을 받는 사물로서 두드러지게 전문적이고 혁신적일 것으로 기대됩니다. 이 동상 수상 디자인은 예술, 과학, 디자인, 기술의 모범 사례를 담고 있으며 세부에 대한 주의로 훌륭합니다. Alz Well 치매 케어 시스템, 이 작품은 필요를 훌륭하게 충족하고 욕망에 닿으며 감정을 매료하고 호기심을 불러일으킵니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: AlzWell includes a caregiver app with dark mode for night use, a smart band for patients with simple voice and one-tap interactions, and a smart speaker with a large screen for voice commands and viewing memories. Key features: AI location tracking for wandering patients, central scheduling with AI suggestions, custom voice options for familiarity, and a wellness dashboard for caregivers. Patients gain confidence with contextual visuals, and the system simplifies caregiver-patient management.
Dimensions & Packaging: App: Responsive iOS devices (iPhone SE - iPhone 16Pro Max)
Wearable: 36mm diagonal rectangular display
Speaker: 10.2in diagonal display (1.8in depth)
Tags: Dementia, Alzheimer's, Monitoring, Mobile, Caregivers, SmartDevices, Voice, AI
Production Technology: For the app: The product was designed in Figma. The animations are done in Rive/SwiftUI. The v1 prototype is built specifically for iOS using Swift UI and UIKit with some parts done in React. The voice interactions and routing are done via a Large Language Model (LLM).
Wearable & Speaker: V2 additions to the ecosystem are designed in Figma and will be built on open-source libraries.
Design Challenge: The most difficult part of this challenge was to create something that had zero learning curve for the dementia patient (achieved via voice and one-click UI) and build a comprehensive monitoring system for the caregiver while integrating their current daily routine into the caregiving workflow.
Research: The research was divided into 2 parts:

1. User research: I talked to 3 dementia patients' family members and caregivers to understand how their lives and daily schedules are affected while caregiving.

2. Desk Research: Extensive secondary research was done from online sources like the CDC website, caregiving.org, Alz.org, etc.
Inspiration: Dementia caregivers are the worst-hit caregivers in the healthcare industry:
- 17 billion hours of unpaid care (mostly family)
- 60% have extreme stress levels
- 1/6 quit their jobs

Dementia is also the most expensive disease in the USA: 2.8 Trillion USD estimated societal cost by 2030.

Alz Well aims to reduce stress for caregivers by helping them:
- effectively managing the symptoms & well-being of the patient
- having a smart care framework at their fingertips
- manage their day-to-day schedules along with the caregiving responsibility using AI
- get help in emergencies
Project Duration: Initial research and design: 6 months (May 2022 - Jul 2022)
Development: Ongoing
Location: San Francisco, CA
Operation Flow: Alz Well is the first system designed for both dementia caregivers and patients, improving both lives. It uses AI for wandering tracking and time management, a breakthrough in dementia care. Unlike other solutions that address one issue at a time, Alz Well manages multiple dementia challenges in one system (wandering, reminiscence, home tasks, monitoring). The tech is invisible to the patient, requiring no learning curve, making it effortless to use for both patients and caregivers.
Team Members: Akhil Patel