Background Nursing facilities hold a big problem in preventing accidents including “slip” and “fall”. To prevent injury, it is required to collect a large number of data and analyse causal factors t related to injury, such as devices and environments, care worker’s action, physical function and action of care receivers, and to share characteristics and patterns of injury in nursing facilities. But now it is difficult to collect and share injury data.

Methods In this study, we implement a new system with two functions using a latest cloud computing technology; i) A function to accumulate and search important injury data using a geographical-information-system-like software, and ii) a function to find and inform fatal or serious injury that facility staff should know by considering kinds of nursing tasks performed in the target facility. By applying the developed method into three nursing facilities, we confirmed the effectiveness of the system.

Results We collected 115 incident cases in total and input these incident data using the developed system; The system consists of a cloud server system and three client systems corresponding to three facilities. For example, using the system, staff could share not only statistics but also the concrete incident information as follows. By inputting a target moving route in order of “Cabin, Cafeteria, Water Closet, and Caregiver Station”, the system find and inform a serious injury case occurred in the other facilities such as “a patient stood up and slipped before raising the underwear after elimination in the toilet.”

Conclusions We verified that it was possible to share and inform important serious injury among nursing facilities. The advantages of the proposed cloud-computing-type system lie in 1) a large number of data can be collected by sharing the data among multiple facilities using the system even if the number of incident in a single facility is relatively small, and 2) facility staff can find important serious injury that might occur in the facility.