Yumei Feng

Easymed — AI Drug Interaction Checker

January 2025

Medium:

Interaction Design / AI-powered Healthcare App

Easymed is an AI-driven interaction checker designed to help elderly users identify drug–drug and drug–food interactions. The project addresses a critical gap in accessible healthcare by supporting an often overlooked population with tools tailored to their needs. The core concept explores the relationship between AI and human care—using machine intelligence to augment, not replace, human decision-making. Powered by deep learning, Easymed analyzes data from a comprehensive database of over 200,000 drug–drug pairs and 330,000 drug–food interactions to provide timely and understandable insights. The creative approach emphasizes accessibility and clarity. Features such as barcode scanning simplify input, while large typography, high-contrast visuals, and text-to-speech enhance usability for elderly users. The interface communicates risks through clear probabilities and plain-language explanations, reducing confusion and anxiety. Easymed demonstrates how AI can act as a supportive companion—translating complex medical data into intuitive guidance, and strengthening the connection between technology and human well-being.

About the Artist

Yumei Feng

Yumei Feng is a San Francisco–based designer working at the intersection of artificial intelligence and human interaction. Her practice is shaped by building products within leading AI startups—where emerging technologies meet everyday use—as well as her earlier experience at Deloitte, where she designed for global enterprise clients including Meta and Johnson & Johnson. Across these contexts, Feng has developed a strong ability to navigate both scale and ambiguity, translating complex systems into experiences that feel legible, calm, and human. Her work is particularly concerned with the invisible layers of technology—the underlying logic, data structures, and decision-making processes that shape how people move through the world, often without being seen. Guided by a principle of designing for the majority, she focuses on overlooked problems: quiet frictions and hidden risks that become most apparent in moments of vulnerability. For Feng, design extends beyond interface—it is a form of care, a way to make complexity understandable and to restore a sense of agency to those who interact with it.

Yumei Feng

Easymed — AI Drug Interaction Checker

January 2025

Medium:

Interaction Design / AI-powered Healthcare App

Easymed is an AI-driven interaction checker designed to help elderly users identify drug–drug and drug–food interactions. The project addresses a critical gap in accessible healthcare by supporting an often overlooked population with tools tailored to their needs. The core concept explores the relationship between AI and human care—using machine intelligence to augment, not replace, human decision-making. Powered by deep learning, Easymed analyzes data from a comprehensive database of over 200,000 drug–drug pairs and 330,000 drug–food interactions to provide timely and understandable insights. The creative approach emphasizes accessibility and clarity. Features such as barcode scanning simplify input, while large typography, high-contrast visuals, and text-to-speech enhance usability for elderly users. The interface communicates risks through clear probabilities and plain-language explanations, reducing confusion and anxiety. Easymed demonstrates how AI can act as a supportive companion—translating complex medical data into intuitive guidance, and strengthening the connection between technology and human well-being.

About the Artist

Yumei Feng

Yumei Feng is a San Francisco–based designer working at the intersection of artificial intelligence and human interaction. Her practice is shaped by building products within leading AI startups—where emerging technologies meet everyday use—as well as her earlier experience at Deloitte, where she designed for global enterprise clients including Meta and Johnson & Johnson. Across these contexts, Feng has developed a strong ability to navigate both scale and ambiguity, translating complex systems into experiences that feel legible, calm, and human. Her work is particularly concerned with the invisible layers of technology—the underlying logic, data structures, and decision-making processes that shape how people move through the world, often without being seen. Guided by a principle of designing for the majority, she focuses on overlooked problems: quiet frictions and hidden risks that become most apparent in moments of vulnerability. For Feng, design extends beyond interface—it is a form of care, a way to make complexity understandable and to restore a sense of agency to those who interact with it.

Yumei Feng

Easymed — AI Drug Interaction Checker

January 2025

Medium:

Interaction Design / AI-powered Healthcare App

Easymed is an AI-driven interaction checker designed to help elderly users identify drug–drug and drug–food interactions. The project addresses a critical gap in accessible healthcare by supporting an often overlooked population with tools tailored to their needs. The core concept explores the relationship between AI and human care—using machine intelligence to augment, not replace, human decision-making. Powered by deep learning, Easymed analyzes data from a comprehensive database of over 200,000 drug–drug pairs and 330,000 drug–food interactions to provide timely and understandable insights. The creative approach emphasizes accessibility and clarity. Features such as barcode scanning simplify input, while large typography, high-contrast visuals, and text-to-speech enhance usability for elderly users. The interface communicates risks through clear probabilities and plain-language explanations, reducing confusion and anxiety. Easymed demonstrates how AI can act as a supportive companion—translating complex medical data into intuitive guidance, and strengthening the connection between technology and human well-being.

About the Artist

Yumei Feng

Yumei Feng is a San Francisco–based designer working at the intersection of artificial intelligence and human interaction. Her practice is shaped by building products within leading AI startups—where emerging technologies meet everyday use—as well as her earlier experience at Deloitte, where she designed for global enterprise clients including Meta and Johnson & Johnson. Across these contexts, Feng has developed a strong ability to navigate both scale and ambiguity, translating complex systems into experiences that feel legible, calm, and human. Her work is particularly concerned with the invisible layers of technology—the underlying logic, data structures, and decision-making processes that shape how people move through the world, often without being seen. Guided by a principle of designing for the majority, she focuses on overlooked problems: quiet frictions and hidden risks that become most apparent in moments of vulnerability. For Feng, design extends beyond interface—it is a form of care, a way to make complexity understandable and to restore a sense of agency to those who interact with it.