Cardiogenic Shock Detection Using Electronic Medical Records: A Review and Blueprint for Clinical Implementation and...

Area of Science:

• Cardiology
• Critical Care Medicine
• Health Informatics

Background:

• Cardiogenic shock (CS) has a high in-hospital mortality rate of nearly 50%, despite advances in medical technology.
• Both the initial severity and clinical trajectory of CS significantly impact patient outcomes.
• Delayed recognition and inappropriate treatment escalation/de-escalation worsen CS outcomes.

Purpose of the Study:

• To propose a blueprint for electronic health record (EHR)-based detection of cardiogenic shock (CS).
• To focus on EHR tools for early CS prediction and real-time alerts for treatment adjustments.
• To improve reproducibility, convenience, clinical decision support, and research capabilities in CS management.

Main Methods:

• Review of existing literature on CS detection and EHR-based tools.
• Analysis of successful EHR implementations for other critical conditions like septic shock and acute kidney injury.
• Development of a conceptual framework for EHR-based CS detection.

Main Results:

• Current EHR studies in CS primarily focus on outcome prediction, with limited tools for early detection or real-time alerts.
• Early detection of CS, potentially through EHRs, may allow intervention at earlier stages, preventing deterioration.
• A proposed EHR-based detection system can aid in timely escalation or de-escalation of care.

Conclusions:

• Electronic health record-based detection offers a promising avenue for improving cardiogenic shock recognition and management.
• Implementing EHR tools for real-time CS alerts can enhance clinical decision-making and potentially reduce mortality.
• Further research and development are needed to create robust, reproducible EHR systems for CS detection and clinical support.