Letters to the Editor

The productivity trap: will AI restore presence or accelerate throughput?

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Received: 2 May 2026
Published: 10 July 2026
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Artificial Intelligence (AI) is frequently promoted as a solution for "administrative excavation," aimed at reducing physician burnout. However, current economic frameworks risk pivoting this newfound efficiency toward increased patient volume (throughput) rather than restoring clinical presence. To analyze the systemic barriers preventing AI from reclaiming the vocational essence of medicine and to propose a shift in healthcare governance. The perceived superior empathy of AI chatbots reflects the "Taylorization" of clinical work. Without a fundamental redefinition of "productive work," time saved by AI will likely be treated as a vacuum for revenue maximization. Governance must transition from measuring raw volume to valuing the physician’s presence as a non-fungible clinical asset essential for quality emergency care.

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1. Martinelli C, Carnevale V, Ercoli A, et al. Artificial Intelligence Is Not the End of the Physician. JAMA. Published online April 29, 2026. doi:10.1001/jama.2026.4356 DOI: https://doi.org/10.1001/jama.2026.4356

2. Howcroft A, Bennett-Weston A, Khan A, et al. AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care. Br Med Bull 2025;156:ldaf017. DOI: https://doi.org/10.1093/bmb/ldaf017

3. Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016;165:753-60. DOI: https://doi.org/10.7326/M16-0961

4. Shanafelt TD, West CP, Sinsky C, et al. Changes in burnout and satisfaction with work-life integration in physicians and the general US working population between 2011 and 2023. Mayo Clin Proc 2025;100:1142-58. DOI: https://doi.org/10.1016/j.mayocp.2024.11.031

5. Martinelli C, Giordano A, Carnevale V, et al. The PERFORM study: Artificial intelligence versus human residents in cross-sectional obstetrics-gynecology scenarios across languages and time constraints. Mayo Clin Proc Digit Health 2025;3:100206. DOI: https://doi.org/10.1016/j.mcpdig.2025.100206

How to Cite



The productivity trap: will AI restore presence or accelerate throughput?. (2026). Emergency Care Journal. https://doi.org/10.4081/ecj.2026.15615