The Skeptics Guide to Emergency Medicine SGEM Xtra: Rock, Robot Rock – AI for Clinical Research
11 snips
Feb 15, 2025 
Dr. Ross Prager, an intensivist and adjunct professor, dives into the revolutionary role of AI in clinical research. He highlights how AI enhances patient eligibility screening and data analysis while stressing the need for human insight. The ethical implications of AI, including data privacy and bias, are discussed candidly. Prager also emphasizes the importance of maintaining high quality in systematic reviews despite automation. Listeners gain insights into the future of AI in healthcare and the critical balance required to harness its potential responsibly.
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AI in Research Lifecycle
- AI can streamline the research lifecycle, from study design to knowledge mobilization.
- It will enhance collaboration, security, and administrative tasks.
Automating Patient Identification
- Use AI to automate patient identification for research studies based on EMR data.
- This would streamline recruitment and expand research inclusivity worldwide.
Patient-Oriented Outcomes
- AI can help synthesize literature to find patient-oriented outcomes but may lead to an overabundance of systematic reviews.
- It can summarize patient feedback to identify important themes and outcomes.