The Importance of Contextual Information in Clinical Decision Support: A Neonatal-Sepsis Case Study

Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration.

BACKGROUND Early warning score clinical decision support (CDS) systems identify patients at risk of clinical deterioration, but do not provide insights on the underlying cause. Machine learning (ML) models may address this limitation, but how to convey such outputs to clinicians remains unclear. This study elicited cli...

CLINICAL DECISION SUPPORT SYSTEMS IN NEPHROLOGY: CURRENT APPLICATIONS, CHALLENGES AND PERSPECTIVES FOR CLINICAL PRACTICE

Introduction: The digital transformation of healthcare services has expanded the use of clinical decision support systems as tools capable of integrating clinical information and assisting healthcare professionals in evidence-based decision-making. In nephrology, the complexity of managing patients with chronic kidney...

Development to implementation to evaluation: step-by-step approach to embedding a clinical trial of a machine learning algorithm in the electronic health record

Abstract Objective To describe the implementation process for the Precision Resuscitation with Crystalloids in Sepsis (PRECISE) trial, a pragmatic, multihospital randomized controlled trial (RCT) of a machine learning (ML) algorithm integrated into the electronic health record (EHR). Materials and Methods Implementing...

Machine learning models in clinical decision support systems: a scoping review

Machine learning (ML) has increasingly been integrated into clinical decision support systems (CDSS) to improve diagnostic accuracy and clinical decision-making. However, variability in performance, adoption, and implementation across healthcare settings necessitates comprehensive evidence synthesis. This scoping revie...

The evolution of health in science: future perspectives

Real-World Effects of a Sepsis Early Detection Model Integrated into Clinical Workflow: A Quasi-Experimental Study

Integration of ESM into clinical workflow was associated with improved patient outcomes, reduced antibiotic use, and decreased harm from overtreatment, without evidence of increased harm from delayed treatment, supporting a positive net clinical benefit and the safety and effectiveness of ESM under Software as a Medica...