| DESIGN NAME: Alz Well
 
 PRIMARY FUNCTION:
 Dementia Caregiving Ecosystem
 
 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
 
 UNIQUE PROPERTIES / PROJECT DESCRIPTION:
 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.
 
 OPERATION / FLOW / INTERACTION:
 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.
 
 PROJECT DURATION AND LOCATION:
 Initial research and design: 6 months (May 2022 - Jul 2022)
Development: Ongoing
Location: San Francisco, CA
 
 FITS BEST INTO CATEGORY:
 Interface, Interaction and User Experience Design
 
 
 | PRODUCTION / REALIZATION 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.
 
 SPECIFICATIONS / TECHNICAL PROPERTIES:
 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
 
 RESEARCH ABSTRACT:
 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.
 
 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.
 
 ADDED DATE:
 2024-08-22 22:09:17
 
 TEAM MEMBERS (1) :
 Akhil Patel
 
 IMAGE CREDITS:
 Akhil Patel, 2024.
 
 
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