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Navigating AI: A Quick Start Guide for Healthcare Professionals
Piyush Mathur1,2, Hajra Arshad3,2, Rachel Grasfield4,2
1Anesthesiology, Cleveland Clinic, Cleveland, USA.
Cureus
|November 27, 2024
Summary
Clinicians can start using artificial intelligence (AI) in healthcare by setting goals, creating a learning roadmap, and identifying resources. This guide provides practical steps and a toolkit for successful AI adoption and implementation in medical practice.
Area of Science:
- Healthcare Technology
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is rapidly advancing in healthcare, creating excitement and questions among clinicians.
- A common question from healthcare professionals is how to begin integrating AI into their practice.
Purpose of the Study:
- To provide a strategic approach for clinicians to start using AI in healthcare.
- To outline practical steps and resources for AI adoption and implementation.
Main Methods:
- Developing a framework for clinicians focusing on goal setting and learning roadmaps.
- Identifying essential resources, including programming skills and low-code platforms.
- Establishing success metrics for AI integration.
Main Results:
- A structured approach is presented for clinicians to build AI knowledge.
- Practical steps are outlined, tailored to individual goals.
- A resource toolkit emphasizing continuous learning, collaboration, and mentorship is provided.
Conclusions:
- Understanding AI fundamentals is crucial for successful adoption in healthcare.
- The outlined roadmap and resources facilitate a smooth start for clinicians venturing into AI.
- Strategic integration of AI can enhance clinical practice and patient care.
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