Alz Well 痴呆症照护系统 by Akhil Patel is a highly esteemed winner of the very prestigious 2025 A' Design Award 铜奖 in 数字产品设计 Competition Category.

铜数字产品· 2025

Alz Well 痴呆症照护系统

by Akhil Patel

Client: Akhil Patel Designs

A' Design Award 铜奖 Winner in 数字产品 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 痴呆症照护系统

Alz Well 是一套面向痴呆症照护者与患者的数字化照护系统。该系统包括一款配备夜间深色模式的照护者应用程序、一款支持简易语音与一键操作的智能手环，以及一款配有大尺寸屏幕的智能音箱。定位追踪功能帮助照护者及时找到走失的患者；具备自动化建议的中央日程管理为日常作息提供支持；健康仪表盘则直观呈现患者与照护者的状态。熟悉的语音选项与情境化图像有助于患者唤起记忆。多项痴呆症照护需求由此在同一系统中得到满足。

The Recognition

About the A' Design Award 铜奖

Alz Well 痴呆症照护系统是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Alz Well 痴呆症照护系统将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Alz Well 痴呆症照护系统出色地满足需求，触动渴望，迷住情感，并吸引好奇心。

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