Sola Bonada Nuria, Álvarez Díaz Ana María, Codina Jané Carlos
Pharmacy Unit. Hospital Universitari de Vic. Barcelona,.
Pharmacy Unit. Hospital Universitario Ramón y Cajal, Madrid..
Farm Hosp. 2016 Nov 1;40(n06):457-476. doi: 10.7399/fh.2016.40.6.10440.
Clinical Decision Support Systems (CDSS) are computerized tools designed to help healthcare professionals to make clinical and therapeutic decisions, with the objective of improving patient care. Prescription-targeted CDSS have the highest impact in improving patient safety. Although there are different designs and functionalities, all these systems will combine clinical knowledge and patient information in a smart manner, in order to improve the prescription process. With the emergence of new technologies and advances in smart decision systems, the implementation of said systems can achieve an important improvement in terms of the prescription process and patient safety. The design and implementation of these systems should be performed by a multidisciplinary team of professionals, where Pharmacists will play an important role due to their technical knowledge about medications and the technologies associated to their use. This article aims to provide basic guidelines for the design and adequate implementation, monitoring and follow-up of Clinical Decision Support Systems within the setting of pharmacological prescription.
临床决策支持系统(CDSS)是旨在帮助医疗保健专业人员做出临床和治疗决策的计算机化工具,目的是改善患者护理。针对处方的CDSS在提高患者安全方面具有最大影响。尽管存在不同的设计和功能,但所有这些系统都会以智能方式结合临床知识和患者信息,以改善处方流程。随着新技术的出现和智能决策系统的进步,上述系统的实施可以在处方流程和患者安全方面实现重要改进。这些系统的设计和实施应由多学科专业团队进行,其中药剂师因其对药物及其使用相关技术的专业知识而将发挥重要作用。本文旨在为药理学处方环境中临床决策支持系统的设计、适当实施、监测和随访提供基本指导方针。