A medical data intelligent query analysis method, system, device and medium

CN121256097BActive Publication Date: 2026-10-16山东浪潮智慧医疗科技有限公司
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Patent Information

Application Number
CN202511085093.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-04
Publication Date
2026-10-16
Estimated Expiration
2045-08-04

AI Technical Summary

Technical Problem

一般医疗人员可以包括医护人员或患者用手机查询时,界面沿用电脑端多列布局,按钮过小导致操作困难;不同的医护人员可能会查看患者的敏感影像原始数据,存在数据安全隐患

Benefits of technology

本申请涉及的医疗数据智能查询解析方法通过结合医疗人员角色、诊疗场景、历史行为和患者实时数据生成第一医疗查询信息,让查询结果就能精准匹配医疗人员的实际需求,减少筛选无效信息的时间成本。根据终端类型、场景紧急程度和权限等级适配界面,使不同终端操作更便捷,紧急场景下信息突出,权限控制,提升了信息展示的适配性和安全性。针对分析需求补充数据缺口,生成更全面的第二医疗查询信息,解决了传统查询数据深度不足的问题,为诊疗决策提供有力支持。清晰展示新旧信息差异,提供操作指引并记录反馈,既让医疗人员高效掌握信息变化,又为优化用户偏好模型提供依据,增强了信息更新的有效性和针对性。基于偏好模型调整生成策略并更新,使系统能持续适应用户习惯和临床场景的变化,避免了策略固化带来的信息滞后问题。实现了医疗数据查询的个性化、精准化。不仅提升了单次查询的效率和准确性,还通过持续迭代让系统贴合临床需求,为医疗人员提供更高效、可靠的决策支持。

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Abstract

The application provides a medical data intelligent query analysis method, system, device and medium, belonging to the technical field of medical data query, the method first responds to the query request of medical personnel, generates a first analysis instruction in combination with the role, the emergency degree of diagnosis and treatment scene, the historical behavior and the real-time data of patients, and then calls a rendering engine to generate an adaptive visual interface according to the terminal type. Then, a second analysis instruction with a larger analysis amount is received, the data requirement complexity is evaluated, the data gap with the first instruction is identified, the knowledge base and the interface are called to supplement the data to generate the second medical query information. Then, the difference between the two is identified, the recommendation card is generated based on the historical interaction, the split screen comparison or progressive replacement display is performed, and the feedback is recorded to update the user preference model, and then the first analysis instruction generation strategy is adjusted, and the new request is responded in a cycle. The whole can accurately meet the medical query demand, improve the information display adaptability and interaction efficiency, optimize the user experience, and help efficient diagnosis and treatment.
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