Current status and reflections on the application of intelligent clinical decision support system for diagnostic classes
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NETL
NSTL
万方数据
医学的实践性、疾病的个体性导致误诊率居高不下,而基于人工智能和医学大数据的临床决策支持系统(clinical decision support system,CDSS)能在疾病诊断时为医生提供决策支持,成为解决此类问题的一个重要手段,且现已取得一定的成效.不过,尽管CDSS在提高医疗决策的准确性和效率方面具有潜在优势,但其在实施过程中也存在一系列的问题,这些问题可能影响CDSS的可靠性、可用性和安全性.本文对诊断类CDSS的应用现状、面临的挑战和未来发展趋势进行总结分析,以期对我国CDSS向智能化和知识化方向发展提供参考.
The practical nature of medicine and the individuality of diseases have led to high misdiagnosis rates,and clinical decision support system(CDSS)based on artificial intelligence and medical big data can provide decision support for doctors in the diagnosis of diseases,which has become an important means of solving such problems,and has now also achieved certain results.However,despite the potential advantages of CDSS in improving the accuracy and efficiency of medical decision making,there are a series of problems in its implementation that may affect the reliability,usability and safety of CDSS.This paper summarizes and analyses the current status of the application of diagnostic CDSS,the challenges it faces,and the future development trend,with a view to providing reference for the development of CDSS towards intelligence and knowledge in China.
clinical decision support systemartificial intelligencedisease diagnosisquality of care
NETL
NSTL
万方数据
