The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection

Overview

Journal Diagnostics (Basel)

Specialty Radiology

Date 2025 Mar 13

PMID 40075895

Authors

Hendrik Schafer

Nesrine Lajmi

Paolo Valente

Alessandro Pedrioli

Daniel Cigoianu

Bernhard Hoehne

Michaela Schenk

Chaohui Guo

Ruby Singhrao

Deniz Gmuer

Rezwan Ahmed

Maximilian Silchmuller

Okan Ekinci

Affiliations

Soon will be listed here.

Abstract

In a rapidly changing technology landscape, "Clinical Decision Support" (CDS) has become an important tool to improve patient management. CDS systems offer medical professionals new insights to improve diagnostic accuracy, therapy planning, and personalized treatment. In addition, CDS systems provide cost-effective options to augment conventional screening for secondary prevention. This review aims to (i) describe the purpose and mechanisms of CDS systems, (ii) discuss different entities of algorithms, (iii) highlight quality features, and (iv) discuss challenges and limitations of CDS in clinical practice. Furthermore, we (v) describe contemporary algorithms in oncology, acute care, cardiology, and nephrology. In particular, we consolidate research on algorithms across diseases that imply a significant disease and economic burden, such as lung cancer, colorectal cancer, hepatocellular cancer, coronary artery disease, traumatic brain injury, sepsis, and chronic kidney disease.

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