AI in Pre-hospital & Critical Care: Innovations & Future

AI in Critical Care: Revolutionizing Emergency Medicine

Artificial Intelligence (AI) is emerging as a game-changer in pre-hospital and critical care settings, promising to enhance decision-making, improve patient outcomes, and streamline emergency responses. A new collection in the Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine is calling for submissions to explore these advancements, highlighting the potential of AI to transform emergency medicine.

The collection, led by Federico Semeraro and Theresa M Olasveengen, aims to gather insights from clinicians, researchers, and policymakers on the development and application of AI in high-stakes medical environments. Topics range from AI-based triage tools and early warning systems to predictive analytics and decision support systems for cardiac arrest and trauma.

Key Areas of Focus

The initiative seeks to address several critical areas where AI can make a significant impact:

• AI-based Triage Tools: Enabling faster and more accurate patient assessment during emergencies.
• Early Warning Systems: Providing real-time alerts to clinicians about potential patient deterioration.
• Predictive Analytics in EMS: Using data to anticipate patient needs and optimize resource allocation.
• Decision Support Systems: Assisting healthcare providers in making critical decisions during cardiac arrest and trauma scenarios.
• Wearable and Ambient Sensing: Monitoring patients outside of traditional hospital settings to ensure continuous care.
• Integration with Dispatch and Navigation Systems: Enhancing coordination and response times in emergency situations.

Additionally, the collection will explore ethical and regulatory considerations, ensuring that AI technologies are developed and deployed responsibly.

Submission Guidelines

Researchers and clinicians are invited to submit original research, scoping reviews, methodological papers, and implementation case studies. Submissions must align with the journal’s standard peer-review process and adhere to its policies. Articles will be added to the collection as they are published, providing a growing resource for the medical community.

"This collection is an opportunity to shape the future of emergency medicine," noted Semeraro. "By harnessing the power of AI, we can improve outcomes and save lives in the most critical moments."

The Future of AI in Emergency Medicine

As AI continues to evolve, its integration into pre-hospital and critical care settings is expected to grow. Real-world validation of AI tools in high-stakes environments will be essential to ensuring their effectiveness and reliability. The collection aims to provide a comprehensive overview of the current landscape and future potential of AI-driven innovations in emergency medicine.

"AI has the potential to revolutionize how we approach emergency care," said Olasveengen. "By bringing together the latest research and insights, we can accelerate the adoption of these technologies and improve patient outcomes worldwide."

For more information or to submit an article, visit the journal’s submission system, Snapp, and select the appropriate collection title.