Alz Well 失智症護理系統 by Akhil Patel is a highly esteemed winner of the very prestigious 2025 A' Design Award 銅獎 in 數碼產品設計 Competition Category.

銅數碼產品· 2025

Alz Well 失智症護理系統

by Akhil Patel

Client: Akhil Patel Designs

A' Design Award 銅獎 Winner in 數碼產品 Category

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Verified Award Winner

Verify Award Status for #163729

View at A' Design Award Press Release Award Badge

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The Design

About Alz Well 失智症護理系統

Alz Well係一個為失智症照顧者同患者而設嘅數碼護理系統。呢個系統包括一個具備夜間使用深色模式嘅照顧者應用程式、一個支援簡單語音同一鍵操作嘅智能手環,以及一個配備大螢幕嘅智能喇叭。定位追蹤功能可以幫助照顧者搵到四處遊走嘅患者。中央排程功能配合自動建議,支援日常生活作息安排,而健康狀況儀表板就可以顯示患者同照顧者嘅狀態。熟悉嘅語音選項同情境相關嘅圖像有助患者回憶記憶。呢個系統一站式解決咗多項失智症護理需求。

The Recognition

About the A' Design Award 銅獎

Alz Well 失智症護理系統是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Alz Well 失智症護理系統將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Alz Well 失智症護理系統出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

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