Natural language processing, IcT, VR, AR, simulation education

Basic Nursing

Nursing care needs to be provided from a comprehensive perspective, with patients as residents who move between different medical environments within the context of comprehensive community care. However, nurses who provide perioperative care are busy shortening hospital stays and dealing with the tasks at hand, and it cannot be said that they are able to provide sufficient nursing care that takes into account life after discharge. Furthermore, when looking at the working patterns of nurses, most are fixed to wards or departments, and it is difficult to get a bird's-eye view of the transition of care as patients move between medical environments from daily nursing care.
In this study, we aim to solve this problem by developing an educational program that encourages nurses to visualize and change their thinking about care so that they can grasp patients who change their treatment environment. This approach uses interdisciplinary methods from nursing, physical therapy, and information engineering, and adopts methods through simulated experiences such as simulation education that can be used on smartphones using natural language processing technology, a type of AI, aiming to be economical and time-saving. Through this educational program, nurses involved in the perioperative period will be encouraged to reflect on their daily work in order to elevate it to nursing care that is conscious of the patient's transition in care, which we believe will contribute to reducing unexpected readmissions.

• Recreating an observation scene using LINE, which implements natural language processing, a type of AI
• The focus is on educating nurses who primarily provide direct care, rather than those in coordinating departments such as admission and discharge support.

• Compared to the mannequin method and simulated patient method, this method allows multiple learners to study simultaneously or independently, and provides a learning opportunity through a simulation experience that is inexpensive and easy to use.
• Providing perioperative nurses with a bird's-eye view of transitions of care as patients move between different treatment environments

By encouraging nurses to visualize the patient's care transition and changing their way of thinking about care, it is expected that care transitions will become smoother, preventing prolonged hospital stays, readmissions, and a decline in ADL after discharge.

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1. Development of supplementary teaching materials for learning observation situations using natural language processing. Masataka Inoue, Samami Morimoto, Masami Tanaka, Mitsunori Ikeda, Yurika Takeuchi, Mikifumi Shikida. Proceedings of the 22nd Japanese Department of Medical Informatics Nursing Academic Conference (July 2021)
2. Refining supplementary teaching materials for learning observation situations using natural language processing. Masataka Inoue, Samami Morimoto, Masami Tanaka, Yurika Takeuchi, and Motofumi Shikida. 42nd Japan Academy of Nursing Science Academic Conference (2022.12)