with specific measures. Here we will introduce a successful example of how a hospital improved its medical administration work.
Issue: Work load causes mistakes and overtime
At Shinshu University Hospital, the burden of phone calls on regular work was straining the hospital, leading to problems such as mistakes and overtime. The main problem at the hospital was the large number of internal calls. Many of the calls were from doctors and nurses, or were made through administrative staff, and staff were using PHS and landlines to communicate.
Therefore, in order to phone number database reduce the time spent on medical administration, a chatbot was introduced to automate inquiries. This is a case where the decision was made to introduce an AI-equipped chatbot in the hope of providing highly accurate responses.
Effect: Successfully reduced call response time by 45 hours per month
The introduction of 45 big data terms to have on the tip of your tongue the AI chatbot at the hospital has reduced the average time spent responding to inquiries by 45 hours per month. Before the introduction, patients had to answer by phone even for matters that could be answered in one word, but now the AI chatbot can solve simple questions such as when the tax withholding slip will arrive by itself.
The hospital has also succeeded in increasing efficiency by thoroughly publicizing the service through emails, bulletin boards, flyers, and videos on how to use the service, making it easier to access. The attitude of “just b2b phone list calling to inquire” has changed, and the hospital has been able to foster a culture of choosing the right person to contact through the AI chatbot.