Alzcare 流動應用程式 by Yueling Lai and Sicong Zhou is a highly esteemed winner of the very prestigious 2025 A' Design Award 銅獎 in 流動設計 Competition Category.
銅流動· 2025
Alzcare 流動應用程式
by Yueling Lai and Sicong Zhou
Client: Alzcare
A' Design Award 銅獎 Winner in 流動 Category
Verified Award Winner
Verify Award Status for #172533The Design
About Alzcare 流動應用程式
Alzcare 是一個專為阿爾茨海默症照顧者而設的流動應用程式,提供日常護理工具、人工智能驅動的指導及社區資源。其用戶體驗和功能經過精心設計,旨在簡化照顧者的日常任務(如藥物和症狀追蹤),同時提升病人安全並促進家庭協作。憑藉易於使用且令人安心的用戶體驗和介面設計,Alzcare 減輕照顧挑戰,紓緩壓力和孤立感。透過結合科技與同理心,它賦予照顧者提供知情、富同情心護理的能力。
The Recognition
About the A' Design Award 銅獎
Alzcare 流動應用程式是 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Alzcare 流動應用程式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。Alzcare 流動應用程式出色地滿足需求,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
- Alzcare is a mobile companion app designed for caregivers and families of people with Alzheimer's disease. By integrating AI-powered guidance, real-time alerts, and a strong caregiver community, Alzcare provides the support system that caregivers need, enhancing both patient care and caregiver well-being.
- Dimensions & Packaging
- The mobile application was designed with the iOS operating system and potentially expanded to Android in the future.
- Tags
- User Experience Design, Mobile Application Design, Healthcare Application, Alzheimer's Disease, AI Design, AI Chat
- Production Technology
- The design software used was Figma, Origami Studio, Adobe After Effects, and other design and prototype developing tools.
- Design Challenge
- The biggest challenge was designing for caregivers' diverse needs while ensuring simplicity. Balancing emotional support with functionality required both deep research and intentional visual design choices. Caregivers' privacy concerns with real-time tracking, accessibility for older users, and integrating AI with reliable medical guidance were also key challenges we considered and overcame.
- Research
- To create a solution that truly meets the needs of Alzheimer’s caregivers, we conducted extensive user research, including 1) Interviews with Alzheimer's patients and family members caring for loved ones with the disease; 2) Field studies to observe how caregivers currently manage daily care, where we discovered that many rely on paper tracker templates to monitor symptoms over time. Through user research, we identified key user problems, such as the top worry among families: wandering, which is common and highly dangerous for Alzheimer's patients. We also understood caregivers' emotional strain, as families expressed significant stress and a strong need for mental support. Additionally, we also conducted secondary research through Alzheimer's healthcare websites and online resources to ensure our findings aligned with medical best practices.
Based on these insights, we designed Alzcare’s key features to directly address caregivers’ top pain points. Additionally, our visual and interaction design choices were guided by the unique needs of caregivers: 1) A warm and soothing color palette to make the app enjoyable for caregivers who are undergoing this long and stressful journey. 2) High contrast and larger typography to ensure readability and accessibility by caregivers in all age groups; 3) Voice input support for the conversational AI feature, allowing caregivers to get guidance hands-free while managing care tasks.
By incorporating these considerations, we created an app that is both highly functional and emotionally supportive, making caregivers' lives easier while enhancing the quality of care for their loved ones. - Inspiration
- Alzheimer’s disease affects over 55 million people worldwide. And the disease does not just affect one person. It touches everyone who loves them. Over 100 million families face the challenges of caring for a loved one with Alzheimer’s. Many feel isolated and overwhelmed with the emotional toll and endless responsibilities. We believe technologies can help and our mission is to design a solution that alleviates the daily burdens of caregiving, empowering families in Alzheimer's caregiving.
- Project Duration
- The project started in December 2024 in California, United States, and finished the 1st phase in March 2025.
- Operation Flow
- Alzcare provides the support system that caregivers need by integrating AI-powered guidance, real-time alerts, and a strong caregiver community. Our key features and user-centered design innovations include:
1) Home + Care Tab: A centralized hub allowing caregivers to log medications and set reminders for timely administration; track symptoms and behavioral changes over time; visualize trends and generate reports to support medical decisions.
2) Alerts: Real-time GPS-based notifications when a patient exits a predefined safe area; emergency response guidance to assist caregivers in locating a wandering patient; collaboration tools that allow multiple caregivers to coordinate in urgent situations.
3) Ask AI: The Ask AI feature provides caregivers with reliable, on-demand information by offering expert-verified responses to common caregiving challenges; providing step-by-step guidance on symptom management and crises; and learning from past interactions to deliver personalized recommendations.
4) Community: The Community tab fosters connection and shared support through peer discussion groups where caregivers can exchange experiences and advice; curated educational resources on Alzheimer’s care; curated therapy sessions and emotional support programs.
5) Family Coordination: The Family tab simplifies collaboration by enabling shared task lists and scheduling tools for caregiving responsibilities; providing a private space for family members to discuss care strategies and emotional well-being; and sending updates to all caregivers to ensure seamless coordination. - Patents
- Yueling (Linda) Lai, Sicong (Nick) Zhou
- Team Members
- Yueling (Linda) Lai
Sicong (Nick) Zhou - Image Credits
- Yueling (Linda) Lai, Sicong (Nick) Zhou
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