衡宇 发自 凹非寺 量子位 | 公众号 QbitAI 与此同时，慢病患者增多、随访任务越来越重，也让诊室之外的工作变得越来越难应付。 在多数基层门诊里，一个医生往往要从早忙到晚，患者一拨接一拨。 就在这样的日常困境里，一条政策落地了。 本月，国家卫健委发布了《促进和规范"人工智能+医疗卫生"应用发展的实施意见 （以下简称"实施意见"） 》。 其中，"人工智能+基层应 用"被列为八大重点方向之首 。 国家层面还点明： 到2030年，基层诊疗智能辅助应用基本实现全覆盖。 而将其转化为临床实效，才是真正的考验。政策在推进，临床仍然拥堵；科研在进步，基层依旧高负荷。 基层医生真正需要的AI，一定不是炫技的AI，而是能在临床真正派上用场的助手。 可怎样的AI才能做到后者？ 病种繁杂、节奏飞快，查文献、请会诊这些理想中的操作，根本挤不进大夫有限的工作时间。 量子位走访多名专家，得到了一个统一的答案： 能真正帮到中国基层医生的AI，必须同时做到两件事 。 可目前的AI，能在诊中给出有依据、可溯源、不误判的建议了吗？能在诊后帮忙顶住随访的压力、把慢病管得住吗？ 最近，不少专家和基层医生，都在使用一个AI系统来把这两件事真正跑 ...

Core Viewpoint - The article emphasizes the importance of AI in grassroots healthcare, highlighting the need for safety, effectiveness, and human-AI collaboration as essential criteria for successful implementation [2][4][44]. Policy and Market Context - On November 4, the National Health Commission issued a document outlining the core goal for the next five years: "AI + grassroots application," placing it at the forefront of the eight key directions for "AI + healthcare" [4]. - The document aims for "intelligent auxiliary applications in grassroots diagnosis and treatment to achieve basic coverage by 2030" [5]. Current Challenges - Despite the policy push, there is a significant gap in AI adoption at the grassroots level, with over 80% of grassroots doctors not using AI, and those who do often rely on generic models that lack precision [7]. - The article notes a "reverse situation" where major hospitals are rapidly adopting AI, while grassroots healthcare remains largely untouched by the AI wave [7]. AI Product Features - The "Future Doctor AI Studio" is presented as a reliable tool that aligns with the policy blueprint, focusing on safety and effectiveness [9]. - MedGPT, the underlying model of the Future Doctor AI Studio, has been rigorously tested for safety and effectiveness, outperforming five major global models in clinical scenarios [12][14]. Safety and Effectiveness - MedGPT achieved the highest scores in safety (0.912) and effectiveness (0.861) during evaluations, significantly surpassing other models [17]. - The article stresses that true medical AI must prioritize safety and effectiveness, with clinical value as the benchmark for technological iterations [11][13]. Human-AI Collaboration - The article highlights the importance of human-AI collaboration, stating that AI should serve as a "super assistant" to doctors, enhancing their capabilities rather than replacing them [39][40]. - The Future Doctor AI Studio's clinical decision-making assistant is designed to support grassroots doctors by providing structured decision reports based on high-level medical evidence [22][25]. Clinical Decision Support - The clinical decision AI assistant can generate comprehensive decision reports for complex cases, demonstrating expert-level reasoning and reliable decision-making [23][30]. - Recent evaluations showed that the assistant outperformed competitors in various clinical scenarios, confirming its effectiveness in real-world applications [27]. Patient Follow-Up - The patient follow-up AI assistant addresses the critical "last mile" of healthcare, ensuring continuous patient management and communication [32][35]. - It automates follow-up tasks, provides personalized health management plans, and alerts doctors to high-risk signals, thereby enhancing patient care [36][38]. Conclusion - The article concludes that the integration of AI in grassroots healthcare represents a best practice for empowering medical professionals and improving patient outcomes, with a strong emphasis on safety, effectiveness, and collaboration [44].