Department of Information Management, National Taipei University of Nursing and Health Sciences, Taiwan, Republic of China.
J Med Syst. 2012 Apr;36(2):965-78. doi: 10.1007/s10916-010-9561-5. Epub 2010 Jul 23.
Recent studies have shown that computerized clinical case management and decision support systems can be used to assist surgeons in the diagnosis of disease, optimize surgical operation, aid in drug therapy and decrease the cost of medical treatment. Therefore, medical informatics has become an extensive field of research and many of these approaches have demonstrated potential value for improving medical quality. The aim of this study was to develop a web-based cardiovascular clinical information system (CIS) based on innovative techniques, such as electronic medical records, electronic registries and automatic feature surveillance schemes, to provide effective tools and support for clinical care, decision-making, biomedical research and training activities. The CIS developed for this study contained monitoring, surveillance and model construction functions. The monitoring layer function provided a visual user interface. At the surveillance and model construction layers, we explored the application of model construction and intelligent prognosis to aid in making preoperative and postoperative predictions. With the use of the CIS, surgeons can provide reasonable conclusions and explanations in uncertain environments.
最近的研究表明,计算机化的临床病例管理和决策支持系统可用于帮助外科医生诊断疾病,优化手术操作,辅助药物治疗并降低医疗费用。因此,医学信息学已成为一个广泛的研究领域,其中许多方法已证明在提高医疗质量方面具有潜在价值。本研究的目的是开发一个基于创新技术(如电子病历、电子注册和自动特征监测方案)的基于网络的心血管临床信息系统(CIS),为临床护理、决策、生物医学研究和培训活动提供有效的工具和支持。本研究开发的 CIS 包含监测、监测和模型构建功能。监测层功能提供了可视化的用户界面。在监测和模型构建层,我们探索了模型构建和智能预测的应用,以辅助进行术前和术后预测。使用 CIS,外科医生可以在不确定的环境中提供合理的结论和解释。