Shahsavar N, Ludwigs U, Blomqvist H, Gill H, Wigertz O, Matell G
Department of Medical Informatics, Linköping University, Sweden.
Artif Intell Med. 1995 Feb;7(1):37-52. doi: 10.1016/0933-3657(94)00025-n.
Evaluation of knowledge-based systems differs from that of conventional systems in terms of verification and validation techniques. Furthermore, evaluating medical decision-support systems is difficult because the field is thus far comparatively unexplored. This paper presents an evaluation of a medical knowledge-based system called VentEx that supports decision-making in the management of ventilator therapy. Real patient data from 1300 hours of patient care involving 12 patients with 6 diagnoses are used to validate the knowledge base. The results range from 4.5% to 15.6% disagreement between the setting recommendations produced by VentEx and a gold standard, and 22.2% disagreement for recommendations for weaning. A comparison between the standard and two physicians showed that VentEx produced advice of the same quality as the physicians.
基于知识的系统在验证和确认技术方面与传统系统不同。此外，评估医学决策支持系统很困难，因为到目前为止该领域相对未被充分探索。本文介绍了对一个名为VentEx的基于医学知识的系统的评估，该系统支持呼吸机治疗管理中的决策制定。使用来自12名患有6种诊断的患者的1300小时患者护理的真实患者数据来验证知识库。VentEx生成的设置建议与黄金标准之间的分歧率在4.5%至15.6%之间，撤机建议的分歧率为22.2%。标准与两位医生之间的比较表明，VentEx提供的建议质量与医生相同。
