人工智能延续性护理极早产儿系统的设计

System design of AI in continuous nursing extremely premature infant

目的:设计人工智能(AI)延续性护理极早产儿系统,对出院后仍需心电监护的极早产儿进行远程监护,实现极早产儿生命体征数据AI分析。方法:将远程模块安装于家庭式心电监护仪上,极早产儿生命体征数据传输至医院监护中心后经AI分析和处理,以远程模块报警系统早期识别和抓取的各种风险事件信息为依据,制定相应的随访指导建议。结果:该系统可根据极早产儿的生命体征数据进行AI分析,对于影响极早产儿生命安危的突发情况,通过微信平台、电话等实时指导其家人进行科学和规范的延续性护理,并提供个性化延续性护理方案,以及突发事件处理方案。结论:AI延续性护理极早产儿系统可延续极早产儿住院期间的生命体征监护,指导家属进行个性化护理,提升家庭照护能力,提高极早产儿的远期生命质量。

Objective: To design artificial intelligence (AI) system for continuous nursing extremely premature infants so as to carry out remote monitoring for them who still need ECG monitoring after discharge, and realize AI analysis for their vital signs. Methods: The remote module was installed in homecare ECG monitor. After vital signs data of extremely premature infants were transmitted to the hospital monitoring center, these data were analyzed and processed by AI. And all kinds of risk event information, that were recognized and grabbed in early-term by remote module alarm system, were used as basis to formulate guidance suggestion of corresponding follow-up. Results: This system could depend on the data of vital signs of extremely premature infants to implement AI analysis. For emergency that affected life safety of extremely premature infants, this system could guide infants' family members to implement scientific and normative continuous nursing by using WeChat platform, telephone and so on, and provide personalized continuous nursing plan and processing scheme about emergency event. Conclusion: The system can continue monitoring for vital signs of extremely premature infants during hospitalization, and guide infants' family members to implement individualized nursing, and promote the ability of family care, and enhance quality of life of extremely premature infants in future.