Before I joined the team at Ubie, a health -technical start -up in Japan using AI to transform patient experiences and streamline health operations, I worked as a neurologist. I was often overwhelmed by my many clinical tasks and endless papers, some of which had to end by hand. I worried about how it affected the care and attention I could give my patients. That’s why I was drawn to Ubie.
Our work is dedicated to helping health professionals focus on what really matters: spending meaningful time with their patients and doing the administrative tasks such as entering medical items and writing references, more effective.
Today, we build products that use Google’s Gemini-Models-Finished on Google Cloud’s Vertex AI-Platform-in the real clinical environment. By working closely with Google, we are able to fine -tune these advanced models to understand the specific nuances of Japanese healthcare. This means that AI can use voice recognition and summary to help doctors and nurses with the significant challenge of creating so many discharge -resume, referral letters and informed consent documents.
This work is already making a difference across medium to large hospitals in the rural areas of Japan:
- At Keiju General Hospital, the team uses our AI-powered discharge overview tools, reducing the time nurses spend on these tasks by 42.5%while reducing their psychological burden by 27.2%. Interestingly, further research showed that the effect was most significant for longer hospital stays, where there is a higher cognitive burden for nurses.
- At Yokokura Hospital, a medium -sized hospital located in Kyushu, voice contribution and summary driven by Gemini, the effectiveness of documenting patient explanations by 33%.
- In a lawsuit at Kyushu University Hospital, one of the largest hospitals in Japan, summarizing and standardization of referral letters to an increase of 54% in the efficiency of doctors preparing admission records.
These types of changes ultimately allow health professionals to spend more time with patients, such as cascades for improved care quality. Exactly the reason I became a doctor.
Efficiency in health care is especially important in Japan, which is facing an aging population combined with a shrinking workforce. In addition, it is challenging to secure administrative staff, especially in rural areas. Together, this places a significant operational load in hospitals. AI can be a game election in helping reduce some of this burden while creating concrete differences in how we do our work and how we show up for our patients.