Decision support systems in healthcare: systematic review, meta- analysis and prediction, with example of COVID-19

被引:4
作者
Ben Khalfallah, Houssem [1 ]
Jelassi, Mariem [1 ]
Demongeot, Jacques [2 ]
Saoud, Narjes Bellamine Ben [1 ]
机构
[1] Manouba Univ, RIADI Lab, ENSI, La Manouba 2010, Tunisia
[2] UGA, AGEIS Lab, F-38700 La Tronche, France
来源
AIMS BIOENGINEERING | 2023年 / 10卷 / 01期
关键词
decision support system; healthcare; clinical decision support system; decision-making support systems; MANAGEMENT; IMPLEMENTATION; MODELS;
D O I
10.3934/bioeng.2023004
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Objective: The objective of this study was to provide an overview of Decision Support Systems (DSS) applied in healthcare used for diagnosis, monitoring, prediction and recommendation in medicine. Methods: We conducted a systematic review using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines of articles published until September 2022 from PubMed, Cochrane, Scopus and web of science databases. We used KH coder to analyze included research. Then we categorized decision support systems based on their types and medical applications. Results: The search strategy provided a total of 1605 articles in the studied period. Of these, 231 articles were included in this qualitative review. This research was classified into 4 categories based on the DSS type used in healthcare: Alert Systems, Monitoring Systems, Recommendation Systems and Prediction Systems. Under each category, domain applications were specified according to the disease the system was applied to. Conclusion: In this systematic review, we collected CDSS studies that use ML techniques to provide insights into different CDSS types. We highlighted the importance of ML to support physicians in clinical decision-making and improving healthcare according to their purposes.
引用
收藏
页码:27 / 52
页数:26
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