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Updated: Jun 22, 2025
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Image Acquisition using Portable Sonography for Emergency Airway Management
Published on: September 28, 2022
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Precision emergency medicine
Matthew Strehlow1, Al'ai Alvarez1, Andra L Blomkalns1
1Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA.
Summary
Precision emergency medicine uses data and technology to personalize acute care. This approach enhances diagnostics, treatment plans, and health system integration for better patient outcomes.
Area of Science:
- Precision medicine and health informatics
- Emergency medicine and acute care delivery
- Data science and artificial intelligence in healthcare
Background:
- Precision health aims to personalize healthcare by considering individual variability.
- Emergency medicine has lagged in adopting precision health principles.
- Advances in technology and data science present opportunities for precision emergency medicine.
Purpose of the Study:
- To conceptualize precision emergency medicine as an emerging paradigm.
- To identify key drivers and obstacles for its implementation.
- To propose solutions for successful adoption in clinical practice.
Main Methods:
- Defining precision emergency medicine.
- Identifying drivers such as leveraging human data and technology.
- Acknowledging and addressing challenges like equity, privacy, and cost.
Main Results:
- Precision emergency medicine delivers acute care effectively using information and technology.
- Key drivers include data utilization, digital tools, access to care, population health, and reimagined provider roles.
- Overcoming challenges in equity, privacy, and cost is crucial for success.
Conclusions:
- Precision emergency medicine integrates technology and AI for advanced diagnostics and personalized care.
- It refines the convergence of health systems and communities.
- A call to action is issued for integrating precision health into emergency medicine practice, training, and research.
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