Watanuki Shigeaki, Takeuchi Tomiko, Matsuda Yoshimi, Terauchi Hidemasa, Takahashi Yukiko, Goshima Mitsuko, Nishimoto Yutaka, Tsuru Satoko
Aino University Faculty of Nursing and Rehabilitations, Osaka, Japan.
Stud Health Technol Inform. 2006;122:925-6.
An assessment and intervention algorithm for delirium following abdominal and thoracic surgeries was developed based upon the current knowledge-base. The sources of information included literature and clinical expertise. The assessment and intervention algorithm was structured and visualized so that patient-tailored and risk-stratified prediction/prevention, assessment, and intervention could be carried out. Accumulation of clinical outcome data is necessary in the future validation study to identify the relative weight of risk factors and clinical utility of the algorithm.
基于当前的知识库,开发了一种用于腹部和胸部手术后谵妄的评估与干预算法。信息来源包括文献和临床专业知识。该评估与干预算法经过结构化和可视化处理,以便能够进行针对患者的、风险分层的预测/预防、评估及干预。在未来的验证研究中,积累临床结局数据对于确定风险因素的相对权重和该算法的临床实用性是必要的。