Clinical Decision Support May Link Multiple Domains to Improve Patient Care: Viewpoint

Area of Science:

• Health Informatics
• Clinical Workflow Optimization
• Healthcare Management

Background:

• Clinical decision support (CDS) integration across population, encounter, and precision care levels offers potential workflow efficiency gains.
• Challenges in CDS development include data diversity, complex knowledge, and user workflow specifics.
• Provider understanding of CDS capabilities for care quality and efficiency improvement is often incomplete.

Purpose of the Study:

• To provide a practical overview of current and evolving clinical decision support (CDS) applications in a large academic setting.
• To discuss the successes and challenges associated with implementing comprehensive CDS.
• To demonstrate how linked population-, encounter-, and precision-level care can unify CDS algorithms for improved patient management.

Main Methods:

• Review of current and evolving clinical decision support (CDS) applications within a large academic medical center.
• Analysis of implementation successes and challenges.
• Demonstration of integrated CDS across population, encounter, and precision care domains.

Main Results:

• Implementing CDS tools across linked care levels facilitates the integration of complex algorithms.
• A unified mechanism for improving patient management is achievable through integrated CDS.
• Multidisciplinary team approaches are essential for successful CDS development and integration.

Conclusions:

• Integrated clinical decision support (CDS) across care domains can enhance hospital and clinic workflow efficiency.
• Addressing data, knowledge, and workflow complexities requires a multidisciplinary approach to CDS development.
• Linking population, encounter, and precision care levels offers a unified strategy for advanced patient management through CDS.