AI驱动的症状评估与用户体验：Simtomi和Simtomi-Care案例研究
AI-Powered Symptom Assessment and User Experience: A Case Study of Simtomi and Simtomi-Care
浏览论文内容
中文总结 AI 辅助
本研究通过Simtomi系统的案例，探讨了AI症状评估工具在韩国和美国实际使用中的效果，发现其能改善医患沟通并提升临床审查效率，为数字健康工具的可用性与信任提供了实证见解。
中文摘要 AI 辅助
数字症状检查器被广泛用于提供健康问题的快速指导，然而许多系统在收集准确信息、支持沟通或与临床工作流程整合方面仍面临挑战。为了探索这些工具在实际使用中的功能，我们研究了Simtomi系统的案例，该系统将多语言症状评估应用程序与面向服务提供商的平台相结合。我们在两个国家进行了实证研究。在韩国，基于参与者的第一手经验，我们发现该系统改善了患者沟通其症状的方式，并通过与诊断推理一致的结构化摘要帮助临床医生更有效地审查病例。在美国，潜在用户和医疗专业人员的反馈强调了多语言支持、结构化提问的价值，以及该系统在协助临床协调方面的潜力。这些发现提供了关于基于AI的症状评估工具如何在不同的医疗保健环境中运作的实证描述，并为数字健康中的可用性、信任和实用性提供了更广泛的见解。
英文摘要
Digital symptom checkers are widely used for quick guidance on health concerns, yet many systems still face challenges in collecting accurate information, supporting communication, or integrating with clinical workflows. To explore how these tools function in real use, we examine the case of the Simtomi system, which pairs a multilingual symptom assessment application with a provider-facing platform. Empirical studies were conducted in two countries. In South Korea, based on participants' firsthand experience, we found that the system improved how patients communicated their symptoms and helped clinicians review cases more efficiently through structured summaries aligned with diagnostic reasoning. In the United States, responses from prospective users and healthcare professionals highlighted the value of multilingual support, structured questioning, and the system's potential to assist clinical coordination. These findings offer a grounded account of how AI-based symptom assessment tools can operate across different healthcare contexts and provide broader insight into usability, trust, and usefulness in digital health.
发表机构
- Research Institute of Mediark（Mediark研究所）
- College of Medicine, Indiana Wesleyan University（印第安纳卫斯理大学医学院）
- Ewha Womans University（梨花女子大学）
- Indiana University（印第安纳大学）
- Indiana Wesleyan University（印第安纳卫斯理大学）
机构由 AI 辅助整理，请以论文原文为准。
