NEJM Interviews NEJM Interview: I. Glenn Cohen on the professional implications of the use of artificial-intelligence–based monitoring systems in medicine.
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Jun 18, 2025 
I. Glenn Cohen is a Harvard Law professor and deputy dean, specializing in health law and bioethics. He discusses the growing impact of AI monitoring systems on healthcare, highlighting how they could reshape clinical workflows and patient care dynamics. The conversation also delves into the ethical implications of constant surveillance and the need for clinicians to assert their autonomy in implementing these technologies. Cohen advocates for their active role in governance to ensure patient-centered care and transparency.
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Quantified Workers Explained
- Quantified workers are monitored and controlled by AI, restricting their autonomy and expertise discretion.
- This concept, common in blue-collar industries, is increasingly relevant in medicine.
Medical AI Monitoring Examples
- AI tools in medicine include keystroke logging, location tracking, and ambient scribing.
- These tools record and analyze patient visits, potentially altering clinical practice and revenue strategies.
AI Enables Deep Clinician Monitoring
- AI enables deep, scalable analysis of clinician-patient interactions beyond traditional output metrics.
- This detailed monitoring can be used by hospitals, payers, and insurers to assess clinician behavior and adherence.