Information technology has always aimed to improve the efficiency of operations of its users. When these operations are repetitive, the goal is easy to achieve, but if the aim is to help an expert in a complex task such as decision-making, the challenge becomes more difficult. For that reason, specific programs called Decision Support Systems (DSS) were developed. During the past 40 years, they have significantly improved in their performance and specialized according to different types (communication- based DSS, data-based DSS, document-based DSS, knowledge-based DSS and model-based DSS). This article aims to review these types of DSSs and discuss the constraints related to the standardization needed to properly feed them. Three different levels of standardization (size, semantic and process) are presented; they are at the basis of interoperability concept in medical informatics. Finally, a brief historical overview of scientific articles is presented, summarizing some of the most significant contributions that DSSs gave to studies related to infectious diseases, and, in particular, how they can help to prevent errors and drug adverse events in the field.
|Titolo:||Sistemi informatici per favorire la gestione degli eventi avversi ai farmaci|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||01.01 - Articolo su rivista|