| Literature DB >> 27894220 |
Nuria Sola Bonada1, Ana María Álvarez Díaz2, Carlos Codina Jané3.
Abstract
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. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.Entities:
Mesh:
Year: 2016 PMID: 27894220 DOI: 10.7399/fh.2016.40.6.10440
Source DB: PubMed Journal: Farm Hosp ISSN: 1130-6343