AI Cut Korean Herbal Medicine Prep Time from 300 Minutes to 5 - But the Smart Part Is What It Didn't Touch: the Korean Medicine Doctor's Judgment

When the headline proclaimed that Korean herbal medicine preparation time had been cut from 300 minutes to just 5 minutes thanks to artificial intelligence, the initial reaction was not one of awe at the prospect of robots handling traditional medicine. The real question was how this breakthrough was achieved, and more importantly, what aspects were left untouched by the AI system.

The key to Onerve's success lay not in the speed of production, but in the meticulous standardization of raw materials. By utilizing a standardized, freeze-dried form of herbs in cartridge format, the need for manual labor and precise boiling was eliminated. This transformation cut preparation time to just five minutes, a feat that earned Onerve a CES Innovation Award and secured a significant round of funding.

However, the most striking aspect of this achievement was not the AI's role, but the deliberate choice to keep the doctor's judgment and decision-making capabilities intact. While AI automation may raise concerns about the future of healthcare practitioners, Onerve's system remains focused on the manufacturing aspect, leaving the critical task of diagnosis and prescription to human expertise.

The real innovation here is not in the AI itself, but in the strategic division of labor. By clearly separating the standardizable, repeatable manufacturing process from the judgment-intensive diagnosis and prescription, Onerve has created a system where AI can efficiently handle the predictable, mechanical tasks, while preserving the irreplaceable human touch in the areas that demand personal insight and experience.

This approach serves as a valuable lesson for anyone looking to incorporate AI into their own work. Rather than seeking a single all-encompassing solution to replace their entire job, it's essential to identify the specific tasks that are both repeatable and clearly defined. By delegating these tasks to AI, while retaining human oversight for the more complex, judgment-driven aspects, organizations can harness the power of AI without sacrificing the critical, human elements that make their work unique and valuable.