Research Topic · Peer-Reviewed

Clinical Decision Support Systems

Clinical decision support systems (CDSS) are computer-based tools that assist clinicians, and at times patients, in making informed decisions about diagnosis, treatment, and care management by linking individual patient data to organized medical knowledge. They generate patient-specific assessments or recommendation…

Curated from this journal's research 📚 9 peer-reviewed articles cited Cited 15× across the literature 🔖 ISSN 2641-4538 🗓 Reviewed July 2026

Overview

Clinical decision support systems (CDSS) are computer-based tools that assist clinicians, and at times patients, in making informed decisions about diagnosis, treatment, and care management by linking individual patient data to organized medical knowledge. They generate patient-specific assessments or recommendations, such as alerts, reminders, risk estimates, diagnostic suggestions, and order guidance, with the aim of improving the quality, safety, and efficiency of care. CDSS may be knowledge-based, applying encoded rules and clinical guidelines, or data-driven, using statistical and machine learning models trained on large datasets to identify patterns and predict outcomes. Their effectiveness depends on the quality and completeness of the underlying data, integration into clinical workflow, the relevance and timing of advice, and the trust and acceptance of users. Research relevant to this area examines the application of artificial intelligence in healthcare to enhance efficiency and support clinical judgment, factors affecting data quality in health facilities, and quality-improvement strategies in care delivery. It also includes predictive modeling such as decision-tree and ensemble approaches for disease risk, structural and statistical modeling of clinical outcomes, and the ethical considerations that accompany algorithmic decision support. As health data and computational methods advance, decision support increasingly augments clinical reasoning across diagnosis, screening, and management, provided outputs are transparent and safeguarded against bias.

Research published in this journal

9 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 9 articles above have been cited 15 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Clinical Decision Support Systems, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Public Health International (ISSN 2641-4538).

Journal editorial board
Javad Javan-Noughabi · United Kingdom Evelyn O Talbott · United States Zainab Taha · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.