目的：建设基于 AI 的诊前预问诊系统，有效利用患者的诊前等待时间，模拟医生问诊过程，提前接诊收集患者病史，自动生成结构化病历文书，为患者提供智能便捷的就医服务，为医生提供更加高效、精准的工作方式。方法：融合自然语言处理和机器学习等技术，对自动生成的病历进行深度分析，实现精准病情分析与智能化医疗服务。引入语音、图像等多种输入方式，丰富预问诊的信息采集手段，提高诊断的准确性。结果：医生的病历书写时间缩短了 34.44%，提高了门诊医生工作效率。结论：基于 AI 的诊前预问诊系统的建设成果，丰富了医疗服务的内涵，为构建智能化、人性化、个性化的医疗服务体系提供了落地的应用场景及基础。

Objective To provide intelligent and convenient medical services for patients and provide more efficient and precise working methods for doctors by building an AI-based pre-consultation system, effectively utilizing patients' pre-consultation waiting time, simulating doctors' consultation process, collecting patients' medical record in advance, and automatically generating structured medical records. Methods By integrating natural language processing and machine learning technologies, the automatic medical records were analyzed in-depth to achieve precise disease analysis and intelligent medical services. By introducing voice, image and other input methods to enrich the means of pre-consultation information collection and improve the accuracy of diagnosis. Results The working efficiency of outpatient doctors was increased since the writing time of medical records was shortened by 34.44%. Conclusion The construction results of the AI-based pre-consultation system can enrich the connotation of medical services, and provide a practical application scenario and foundation for constructing an intelligent, humanized and personalized medical service system.