摘要
传统病人自控镇痛(PCA)目前广泛用于术后镇痛,虽然提高了个体化用药水平,但是临床上仍有相当比例的病人术后疼痛没有得到有效缓解,其主要原因是对术后镇痛过程的关键信息不能实时获取与反馈。将传统PCA与物联网和人工智能结合的新型镇痛系统,称为智能化PCA(Ai-PCA)。该系统实现了术后镇痛过程的动态管理,提高了镇痛品质。为进一步推广Ai-PCA,中华医学会麻醉学分会组织专家制订了首部"智能化病人自控镇痛管理专家共识",该共识介绍了Ai-PCA技术参考标准,提出了临床实施细则和质量控制的规范要求。虽然该共识历经专家反复修改讨论,但是不足之处在所难免,欢迎读者提出意见和建议,以便将来更新共识参考。
Conventional patient-controlled analgesia (PCA) is widely used for postoperative analgesia.Although conventional PCA raises the level of administration according to patient′s individual needs, there are still quite a few patients whose postoperative pain has not been effectively alleviated.The main cause is that it is difficult to access and respond to the key information of the analgesic process in real-time.Artificial intelligence PCA (Ai-PCA) is a new analgesic system which combined conventional PCA with Internet of Things and artificial intelligence.Ai-PCA makes analgesic process achieve dynamic control and raises analgesic quality.Chinese Society of Anesthesiology organized experts to formulate the first "expert consensus on management of artificial intelligent patient-controlled analgesia" to further promote Ai-PCA.The consensus introduces the technical reference standards of Ai-PCA and provides the standardized requirements for clinical implementation and quality control.Although the consensus has been revised and discussed repeatedly by experts, the deficiency is unavoidable.Opinions and suggestions are warmly welcome, in order to update the consensus in the future.
出处
《中华麻醉学杂志》
CAS
CSCD
北大核心
2018年第10期1161-1165,共5页
Chinese Journal of Anesthesiology
关键词
镇痛
病人控制
人工智能
专家共识
Analgesia, patient-controlled
Artificial intelligence
Consensus