Clinical decision support models and frameworks: Seeking to address research issues underlying implementation...

Area of Science:

• Health Informatics
• Medical Informatics
• Computer Science in Medicine

Background:

• Computer-based clinical decision support (CDS) has been developed for over 50 years.
• Widespread adoption and impact in clinical practice remain limited.
• Numerous factors hinder CDS implementation, including leadership, workflow integration, and interoperability issues.

Purpose of the Study:

• To review the diverse applications of clinical decision support (CDS).
• To identify areas where theoretical models and frameworks for CDS have been or could be explored.
• To determine the potential utility of these models in addressing CDS challenges.

Main Methods:

• Literature review and synthesis of existing research on clinical decision support systems.
• Analysis of various theoretical frameworks from multiple disciplines.
• Identification of gaps and opportunities for future research and development in CDS.

Main Results:

• Decades of CDS development have not led to broad clinical adoption.
• Key barriers include issues with leadership, workflow, human interaction, and technical interoperability.
• No single model adequately addresses the multifaceted challenges of CDS.

Conclusions:

• A comprehensive understanding of CDS requires integrating insights from various disciplines.
• Theoretical models are crucial for addressing the complex challenges of CDS implementation.
• Further exploration of theoretical frameworks can guide the effective development and deployment of CDS.