Medicine and Health

Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial

M. D. Abramoff, N. Whitestone, et al.

This groundbreaking clinical trial reveals that an AI system for diabetic eye exams significantly boosts productivity in clinics. Conducted by esteemed authors, including Michael D. Abramoff and Nathan Congdon, the study indicates a remarkable 40% increase in patient encounters, showcasing the potential of AI to transform healthcare delivery.

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Abstract

This preregistered cluster-randomized clinical trial investigated whether a validated AI system for diabetic eye exams increases clinic productivity. 105 clinic days were randomized to either intervention (using AI; 51 days, 494 patients) or control (no AI; 54 days, 499 patients). The primary endpoint, productivity among diabetic patients, was significantly higher in the intervention group (1.59 encounters/hour) compared to the control group (1.14 encounters/hour), representing a 40% increase (*p* < 0.001). The secondary endpoint (overall productivity) also showed a significant increase. Autonomous AI significantly increased healthcare system productivity.

Publisher

npj Digital Medicine

Published On

Oct 04, 2023

Authors

Michael D. Abramoff, Noelle Whitestone, Jennifer L. Patnaik, Emily Rich, Munir Ahmed, Lutful Husain, Mohammad Yeadul Hassan, Md. Sajidul Huq Tanjil, Dena Weitzman, Tinglong Dai, Brandie D. Wagner, David H. Cherwek, Nathan Congdon, Khairul Islam

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