#Japan #AI Technology #Kyoto #Care Planning #Monaka-ya

Transforming Care Facilities with AI

Monaka-ya, headquartered in Nakagyo-ku, Kyoto, has announced its participation in an innovative project aimed at revolutionizing care facilities through digital transformation (DX) utilizing artificial intelligence (AI) technology. This initiative, led by the Japan Agency for Medical Research and Development (AMED) along with the All Japan Long-Term Care Society, focuses on developing a data-driven AI care plan assistance system.

Project Overview

The primary goal of the project is to alleviate the burdens on care workers while enhancing the quality of care provided to users. This is essential, especially considering the ongoing workforce shortages in the caregiving sector. The collaboration aims to merge the extensive network of care facilities possessed by the All Japan Long-Term Care Society with Monaka-ya’s expertise in AI and data utilization.

To achieve this, the project will employ a unique approach that combines insights from expert Professor Tomohiro Kuroda from Kyoto University Graduate School of Medicine. Central to this is the transition from 'black box' AI systems to more transparent 'white box' AI systems that can provide clear reasoning behind recommendations, thus earning the trust of professionals in the field.

Package Model Development

The initiative will incorporate the R4 system promoted by the All Japan Long-Term Care Society into an integrated package model consisting of two key components:

1. AI Care Plan Generation Support System – 'Mitasto for Care Plan'
Developed by Monaka-ya, this system will analyze data from the scientific caregiving information system (LIFE) to create preliminary care plans based on the connection between user conditions and outcomes. This will include natural language processing capabilities to clarify the rationale behind recommendations and support cross-disciplinary collaboration through a chat feature.

2. Time Study Application – 'Hakaru'
Also developed by Monaka-ya, this app will objectively measure and visualize the time spent on care plan creation and interdisciplinary collaboration. The application will be customized specifically for this project to measure the effectiveness accurately.

Project Structure and Future Outlook

The project will be executed through a consortium led by the All Japan Long-Term Care Society, with participation from Monaka-ya for system development, as well as the All Japan Long-Term Care Society for the dissemination of the package and advice on medical care expertise. Additionally, data analysis related to AI technology will be conducted by Kyoto University's Graduate School of Medicine, along with contributions from five 'super-enhanced' long-term care facilities nationwide.

This structure ensures that the initiative is robustly supported and capable of assessing the efficacy of reduced care plan creation times quantitatively and qualitatively.

The anticipated outcomes include a broader implementation of the established DX model across various care facilities throughout Japan, ultimately contributing to enhanced quality of life for users and establishing a sustainable caregiving system.

About Monaka-ya

Founded in the historical city of Kyoto, Monaka-ya is committed to pushing the boundaries of care technology and improving the standards of care through innovative solutions. More details about the company and its initiatives can be found on their website.

About the All Japan Long-Term Care Society

Established to improve the welfare of the elderly and enhance collaborative efforts among care facilities, this organization has played a crucial role in ensuring the quality of healthcare services across Japan.

About Kyoto University

One of Japan's premier institutions, Kyoto University aims to foster ethical and groundbreaking research while preparing the next generation of leaders in various fields through a rigorous academic environment.

For media inquiries regarding this project, please contact Monaka-ya's PR representative Kamata. More information can be found in our past press releases.