Evaluation of the Decision Support Systems

Abstract

MDSSs (medical decision support systems) are computer applications providing clinicians with suitable information about a patient's clinical situation, as well as knowledge relevant to the situation, appropriately filtered and presented, to improve the quality of care and the patients' health. As is the case with any intervention aiming at influencing medical practices and their impact on the patients' health, it seems appropriate to question their real value through a methodology for reliable evaluation. Evaluation methods are necessarily dependent on the questions raised and it is common for different questions to lead to different methodologies and different processes of data collection and analysis. In the light of this, better consideration and better implementation of the evaluation processes of these systems are major criteria on which their future depends.

Bim on Artificial Intelligence for Decision Support in E-Health

“…As reviewed by Marschollek (2012), Baumgärtel et al (2018) and Stark et al (2019), only a few papers offer details about the knowledge base (KB), system architecture and study outcome. In addition, presented researches lack of accuracy, best practices, comprehensibility, interchangeability, user acceptance, stability and insightful evaluation methods (Richter and Vogel 2020;Baumgärtel et al 2018;Baig et al 2019;Manar et al 2017;Stark et al 2019). Considering this, we focus on a case research based on expert rules to reason of a suitable living environment according to different patient's diseases.…”

Creativity in Intelligent Technologies and Data Science

“…Naturally, various algorithms and methods of machine learning had been showing a sufficiently high efficiency in medicine [5,6,7,8,9]. Many studies are devoted to the analysis of the effectiveness of various decision support systems [10,11,12,13,14].…”