So we utilized a liquid workforce, leveraging the best talent from the US and Japan. This allowed us to work flexibly with the most impactful IT resources, no matter where they were. With this global team, we analyzed 150,000 cases of transport data collected from iPads installed inside emergency vehicles in Saga Prefecture. We then examined a vast amount of hospital data. By combing these two sets of data, we created a detailed picture of how patients were being transported and what we could do to speed things up. And by applying artificial intelligence and machine learning to the data, we found new opportunities to improve coordination between the government, hospitals and emergency agencies.
That meant we could optimize the dispatch process, reducing the cases where hospitals can't accept patients by up to 40 percent and cutting average transportation time by up to 1.3 minutes. When it comes to saving lives, extra seconds make all the difference.