Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia ka Akhil Patel

Moralo oa Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia ka Akhil Patel ke mohlodi oa khau e hlomphehang haholo ya 2025 Moputso oa Boronse oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Sehlahiswa sa Dijithale.

BoronseSehlahiswa sa Dijithale· 2025

Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia

ka Akhil Patel

Moreki: Akhil Patel Designs

Mohlodi oa Moputso oa Boronse oa A' Design Award Mokhahleong oa Sehlahiswa sa Dijithale

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Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia

Mongolo wa Buka: Alz Well ke sistimi ya tlhokomelo ya dijithale bakeng sa batlhokomedi le bakuli ba dementia. Sistimi ena e kenyelletsa sesebediswa sa motlhokomedi se nang le mokgwa o lefifi bakeng sa tshebediso ya bosiu, letsoho le bohlale le nang le taolo e bonolo ya lentswe le e le nngwe ya go tobetsa, hammoho le sebui se bohlale se nang le skrine e kgolo. Ho lemoha sebaka ho thusa batlhokomedi ho fumana bakuli ba kgelohang. Sistimi e bohareng ya tlhophiso ya nako e nang le ditshisinyo tse ikentseng ka boyona e tshehetsa mekgwa ya letsatsi le letsatsi, mme boto ya bophelo bo botle e bontsha boemo ba mokuli le motlhokomedi. Diketso tsa lentswe tse tsebahalang le ditshwantsho tse amanang le maemo di thusa bakuli ho hopola ditemoso. Ditlhoko tse ngata tsa tlhokomelo ya dementia di rarolwa ka sistimi e le nngwe.

Kamohelo

Mabapi le Moputso oa Boronse oa A' Design Award

Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia ke mohapi oa Moputso oa Boronse oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e ikhethang e tsejoang ka boqapi, bohlale ba ho qapa le bohlale. Bahapi ba Boronse ke lintho tse nang le bokhoni ka ho felletseng le boqapi bo hlollang tse tiisang boiphihlelo bo bongata, mohopolo le bokhoni ba ho iphumana ba baqapi ba tsona. Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia e lebelletsoe ho ba ntho e hlomphuoang haholo, e ratoang le e ratehang, e nang le boprofeshenale bo bonahalang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Boronse oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa bonong, mahlaleng, moralong le theknolojing mme o hlahella ka ho tsepamisa maikutlo lintlheng tse nyenyane. Alz Well Mosebetsi wa Sehlooho: Sistimi ya Tlhokomelo ya Dementia e kutloisisa litlhoko hantle, e ama litakatso, e hapa maikutlo mme e tsosa takatso ea ho tseba.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: 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.
Boholo le Phuthelo: App: Responsive iOS devices (iPhone SE - iPhone 16Pro Max)
Wearable: 36mm diagonal rectangular display
Speaker: 10.2in diagonal display (1.8in depth)
Lithegi: Dementia, Alzheimer's, Monitoring, Mobile, Caregivers, SmartDevices, Voice, AI
Theknoloji ya Tlhahiso: 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.
Phephetso ya Moralo: 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.
Dipatlisiso: 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.
Kgothaletso: 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
Nako ya Projeke: Initial research and design: 6 months (May 2022 - Jul 2022)
Development: Ongoing
Location: San Francisco, CA
Tsamaiso ya Mosebetsi: 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.
Litho tsa Sehlopha: Akhil Patel