[For the attention of members of the press] June 29, 2026 Henry Inc. Masayuki-kai Hospital (Kadoma City, Osaka Prefecture; 56 beds), a medical corporation, and Henry Inc. have jointly conducted a pilot experiment to integrate generative AI into Henry, a cloud-based electronic medical record (EMR) system for hospitals, redesigning hospital documentation workflows on an "AI-first" operational basis (April 20 – June 5, 2026). The key focus of this pilot was not merely speeding up individual tasks, but fundamentally reconfiguring the documentation workflow itself around the premise of AI, reducing the number of steps. As a result, staff can now complete documentation seamlessly while conversing, all within the EMR interface without needing to leave the screen. This resulted in an estimated monthly reduction of approximately 386 staff-hours across all roles—physicians, nurses, rehabilitation therapists, and administrative staff (※1). For example, the time required to create discharge summaries (by physicians) was reduced by approximately 90%, from a previous average of about 40 minutes down to just 4 minutes (measured). Background of the Pilot: Becoming a 'Preferred Hospital' Amid Staff Shortages and Financial Challenges Medical facilities face a dual crisis of staffing shortages and financial strain. The turnover rate among regular nursing staff is 11.3%, rising to 16.1% for mid-career (non-new graduate) hires (※2), making staff retention a critical business issue. Financially, the situation is dire: around 70% of hospitals report negative operating margins, and operating profit per 100 beds has been negative for seven consecutive years (※3). In this context, hospitals must become places that are "chosen" by both patients and healthcare workers to survive. The key lies in building operational workflows premised on generative AI, enabling sustainable operations even with limited personnel. Efficiency is no longer just a welfare benefit—it has become a core business chall