Wasylewicz A. T. M., Scheepers-Hoeks A. M. J. W.
Department of Clinical Pharmacy, Catharina Hospital, Eindhoven, The Netherlands
Department of Clinical Pharmacy and Toxicology, Maastricht University Medical Center, Maastricht, The Netherlands
Clinical decision support (CDS) includes a variety of tools and interventions computerized as well as non- computerized. High-quality clinical decision support systems (CDSS), computerized CDS, are essential to achieve the full benefits of electronic health records and computerized physician order entry. A CDSS can take into account all data available in the EHR making it possible to notice changes outside the scope of the professional and notice changes specific for a certain patient, within normal limits. However, to use of CDSS in practice, it is important to understand the basic requirements of these systems. This chapter shows in what way CDSS can support the use of clinical data science in daily clinical practice. Moreover, it explains what types of CDSS are available and how such systems can be used. However, to achieve high-quality CDSS which is effective in use requires thoughtful design, implementation and critical evaluation. Therefore, challenges surrounding implementation of a CDSS are discussed, as well as a strategies to develop and validate CDSS.
临床决策支持(CDS)包括各种工具和干预措施,既有计算机化的,也有非计算机化的。高质量的临床决策支持系统(CDSS),即计算机化的CDS,对于充分实现电子健康记录和计算机化医嘱录入的益处至关重要。一个CDSS可以考虑电子健康记录中所有可用的数据,从而有可能注意到超出专业范围的变化,并注意到特定患者在正常范围内的特定变化。然而,要在实践中使用CDSS,了解这些系统的基本要求很重要。本章展示了CDSS可以以何种方式支持日常临床实践中临床数据科学的使用。此外,它还解释了有哪些类型的CDSS以及如何使用此类系统。然而,要实现有效使用的高质量CDSS需要精心的设计、实施和严格的评估。因此,将讨论围绕CDSS实施的挑战以及开发和验证CDSS的策略。