Lingshuang Kong, Yumei Feng and Shichao Wang의 EasyMed 모바일 애플리케이션

디자이너 Lingshuang Kong, Yumei Feng and Shichao Wang의 작품 EasyMed 모바일 애플리케이션은(는) 매우 권위 있는 2024 A' Design Award 동상의 모바일 기술, 애플리케이션 및 소프트웨어 디자인 부문에서 탁월한 수상작입니다.

동모바일· 2024

EasyMed 모바일 애플리케이션

디자이너: Lingshuang Kong, Yumei Feng and Shichao Wang

클라이언트: EasyMed

모바일 부문 A' Design Award 동상 수상작

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사이트 방문 A' Design Award에서 보기 보도 자료 수상 배지

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디자인

EasyMed 모바일 애플리케이션 소개

EasyMed는 AI 기반 모바일 애플리케이션으로, 약물 간 상호작용 및 약물과 식품 간 상호작용을 신속하고 정확하게 식별할 수 있도록 사용자를 지원합니다. 93%의 주목할 만한 정확도와 200,000개의 약물-약물 쌍 및 330,000개의 약물-식품 쌍을 포함하는 포괄적인 데이터베이스를 통해 이를 달성합니다. 또한 EasyMed는 약물 목록 관리 기능과 다제병용에 관한 유익한 정보 기사에 대한 접근을 제공하여 다양한 사용자 요구를 충족시킵니다.

수상 인정

A' Design Award 동상 소개

EasyMed 모바일 애플리케이션, 이 작품은 A' Design Award 동상 수상작으로, 창의성, 독창성, 영민함으로 돋보이는 뛰어난 디자인에 수여되는 높은 권위의 인정입니다. 동상 수상작은 충분히 숙련되고 인상적으로 창의적인 작품으로, 디자이너의 폭넓은 경험, 상상력, 기지를 입증합니다. EasyMed 모바일 애플리케이션, 이 작품은 높이 평가받고 감탄과 사랑을 받는 사물로서 두드러지게 전문적이고 혁신적일 것으로 기대됩니다. 이 동상 수상 디자인은 예술, 과학, 디자인, 기술의 모범 사례를 담고 있으며 세부에 대한 주의로 훌륭합니다. EasyMed 모바일 애플리케이션, 이 작품은 필요를 훌륭하게 충족하고 욕망에 닿으며 감정을 매료하고 호기심을 불러일으킵니다.

디자인 비하인드

프레스 킷

디자이너가 제공한 크레딧, 팀원 및 기술 세부 사항.

고유 특성: EasyMed is an AI-powered mobile application, primarily aiming to empower users to swiftly and accurately identify drug-to-drug and drug-to-food interactions, mitigating potential consequences effectively, with an impressive 93% accuracy rate and a comprehensive database covering 200k drug-drug pairs and 330k drug-food pairs. To cater to a broader range of use cases, we also added additional functionalities such as drug list management and access to informative articles about polypharmacy.
치수 및 패키징: Utilizing Figma, our process involved creating designs with a focus on accessibility and inclusivity for senior users. We adhered to Usability Heuristics, Microsoft Responsible AI principles, and Age-friendly Design principles. This commitment is reflected in features like legible fonts, proper color contrast, color-blind friendliness, straightforward interactions, and detailed guidance.
The app is also responsive for all screen sizes and universally applicable for all Android and iOS phones.
태그: healthcare, artificial intelligence, polypharmacy, wellness, accessible design, age-friendly design, mobile application
생산 기술: We developed DeepDDI, an AI computational framework using drug-drug and drug-food pairs' compound structural information as inputs to generate drug-drug interaction (DDI) and drug-food interaction (DFI) types as human-readable sentences.

Leveraging cutting-edge AI technologies, we also offer users accessible features including drug and food recognition, text-to-speech functionalities, and clear explanations for complex medical terminology.
디자인 과제: Designing AI products is challenging but rewarding. It differs from traditional product design, requiring consideration of technology feasibility and principles like the Responsible AI framework for reliability, transparency, and inclusivity.

Designing for accessibility is another challenge. It allowed us to empathize with the problems older adults face with technology. This experience has inspired us to explore designing for other groups that require special attention in the future.
연구: To comprehend the current problem landscape, we extensively conducted secondary research, reviewing over 50 papers and statistics.

Gathering qualitative insights on stakeholders' perceptions of adverse drug interactions, we conducted six in-depth interviews, involving older adults, healthcare practitioners, and the general public. Subsequently, we created three personas representing different user groups.

Following the design of the hi-fi prototype, we sought validation and identified relevant issues by inviting five participants to test our prototype.
영감: Did you know nearly 500 million older adults globally face significant polypharmacy risks, with a 50% higher chance of adverse drug interactions when using five or more medications? Additionally, they encounter over two potential drug-food interactions monthly, sometimes leading to disabilities and deaths. However, clinical research for all potential drug interactions is time-consuming and resource-intensive. Moreover, overwhelmed medical professionals can't offer guidance to every patient.
프로젝트 기간: The project started in January 2023 and finished in November 2023
운영 흐름: The app offers five main features:
(1) All-in-one Homepage: Easily check interactions, access daily articles on polypharmacy, and get personalized pill reminders from EasyMed's homepage.
(2) Drug Interaction Checker: Effortlessly search or scan a drug to check interactions, stay updated on side effects, and add to your list for future reference.
(3) Food Interaction Checker: Snap a photo of food items or product barcodes for a thorough analysis, receiving alerts for potential adverse interactions with your medications.
(4) My Drug List & Reminders: Maintain a detailed drug list and receive customized reminders for timely and accurate dosing.
(5) Explore: Access personalized articles on polypharmacy, filter articles by category, and enjoy interactive quizzes for enhanced learning and engagement.
팀원: Yumei Feng: Product Manager & Product Designer
Lingshuang Kong: Product Designer & UX Engineer
Shichao Wang: Product Designer
이미지 출처: All images and videos are created by EasyMed.