设计师 Chengcheng Hou 的作品 Tia Lifechart 医疗应用荣获了极具声望的 2025 A' Design Award 铁奖，竞赛类别为数字产品设计。

铁数字产品· 2025

Tia Lifechart 医疗应用

设计师： Chengcheng Hou

客户: Tia Inc.

数字产品类别A' Design Award 铁奖获奖者

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关于 Tia Lifechart 医疗应用

Tia Life Chart TLC 是一个数字平台，旨在支持协作式、以患者为中心的护理服务。它使医护人员能够访问患者病历、跟踪治疗进展并高效管理预约。通过结合直观的界面、自动化工作流程和智能洞察功能，TLC 减少了行政工作量，支持提供更优质的医疗服务。该平台专为综合女性健康诊所设计，增强了医护人员之间的团队协作，并提升了整体患者体验。

荣誉认可

关于A' Design Award 铁奖

Tia Lifechart 医疗应用是 A' Design Award 铁奖得主，这是授予满足人们对设计精良的创作所期待的专业与工业要求的优良设计的声望认可。铁奖得主展现出其创作者的高超技艺、高度专业化、专家级的理解力和创造能力。预计Tia Lifechart 医疗应用将成为一件备受推崇、令人钦佩且被珍爱的创作，既实用又创新。这件赢得 A' Design Award 铁奖的设计整合了行业最佳实践，并拥有与专业知识和才华相结合的称职技术特性。Tia Lifechart 医疗应用因其严谨而受到尊重，旨在提供有助于让世界变得更美好的生活品质改善。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: Tia Life Chart is a patient-centric electronic medical record app designed to streamline care coordination, enhance provider efficiency, and improve patient outcomes. It reduces care plan documentation by 44%, automates 81% of booking links, and increases patient engagement. With an intuitive user interface, AI-powered insights, and seamless integration into clinical workflows, Tia Life Chart empowers providers to make faster decisions, reduces administrative burden, and supports a holistic, team-based approach to care.
尺寸与包装: Platform: Web-based (Optimized for desktop & tablet)
Tech Stack: React (TypeScript), Node.js, GraphQL, PostgreSQL
Interoperability: FHIR-compliant APIs, HL7 support
Security & Compliance: HIPAA-compliant encryption, role-based access control
Performance: Low-latency architecture, optimized data retrieval
Scalability: Modular microservices infrastructure, cloud-native deployment
标签: EMR, healthcare design, digital health, patient care, UX for healthcare, medical software, AI-driven workflows, provider efficiency, clinical documentation, healthtech
生产技术: Tia Life Chart developed as a web-based, modular electronic medical record app system built on a React and TypeScript front end for a highly responsive, accessible UI, with a Node.js and GraphQL backend for efficient data retrieval and interoperability. We utilized FHIR standards to ensure seamless integration with external healthcare systems. The design was driven by user research, clinical shadowing, and iterative prototyping, optimizing workflows through automation, AI-powered insights, and intuitive UI/UX principles to enhance provider efficiency and reduce cognitive load.
设计挑战: One of the biggest challenges in designing TLC was redefining the rigid and fragmented structure of traditional EMRs to create a system that truly supports integrative women’s healthcare. Balancing clinical accuracy, provider efficiency, and regulatory compliance required deep research into healthcare workflows, usability testing, and iterative prototyping. Overcoming provider resistance to change and ensuring seamless adoption were critical hurdles we tackled through extensive training and feedback loops.
研究: Tia Life Chart was developed using a human-centered design approach, incorporating extensive provider interviews, workflow observations, and usability testing. We conducted clinical shadowing sessions and analyzed over 1000 provider interactions to identify pain points in existing EMR systems. Research findings guided the development of automated workflows, AI-driven insights, and an intuitive UI, resulting in a 44 percent reduction in documentation time and an 81 percent automation rate in care plan booking links, significantly enhancing provider efficiency and patient engagement.
灵感: Tia Life Chart was born out of a critical need to redefine how EMRs serve both providers and patients in integrative women’s healthcare. Traditional electronic medical record apps are rigid, burdensome, and fail to support holistic, patient-centered care. Our design was inspired by seamless digital experiences outside of healthcare—intuitive, efficient, and data-driven. We leveraged user research, clinical workflows, and automation to build an EMR that enhances provider efficiency and patient outcomes.
项目周期: The project started in Jan 2024 as an ongoing project.
操作流程: Tia Life Chart is designed for seamless provider interaction, reducing cognitive load while ensuring intuitive navigation. Providers can quickly access patient records, track lab results, document care plans, and automate appointment bookings—all within a clean, structured interface. AI-powered insights highlight urgent issues, while smart automation streamlines repetitive tasks, significantly reducing documentation time and improving patient outcomes.
团队成员: Chengcheng Hou