#Japan #AI Healthcare #Hokkaido #Prediction One #Taku Rehabilitation

Introduction

The healthcare landscape in Japan is evolving rapidly, especially in the rehabilitation sector. Sony Network Communications Inc. has announced a significant partnership with Taku Corporation to integrate their AI predictive analytics tool, "Prediction One," with the "Taku Rehabilitation Support System." This initiative aims to leverage accumulated rehabilitation data to enhance patient outcomes and streamline operational efficiencies in rehabilitation units.

Overview of the Partnership

This collaboration focuses on transforming how rehabilitation facilities utilize data through AI. By integrating "Prediction One" with Taku's system, hospitals can easily extract and analyze rehabilitation data without the need for complex formatting, which has traditionally been a cumbersome task. This means that clinicians can utilize data directly for AI-driven analyses, facilitating more accurate treatment planning and forecasting.

Achievements Through Collaboration

Streamlined Data Processing

One of the standout benefits of this partnership is the elimination of manual data shaping, traditionally required before analysis. Now, the Taku Rehabilitation Support System will output data in a format compatible with "Prediction One," allowing healthcare professionals to rapidly utilize this information for AI analysis. This seamless integration reduces the workload for therapists, allowing them more time to focus on patient care.

Access to Established AI Models

Furthermore, hospitals that employ this solution will have access to AI models developed using six years of data from the Hokuto Tokachi Rehabilitation Center, the largest rehabilitation facility in Hokkaido. This model is specifically designed for predicting patient outcomes, providing hospitals with a valuable resource to quickly develop their own tailored AI models. The established models have shown high accuracy in predicting key rehabilitation outcomes such as walking independence, restroom activities, and functional independence measures (FIM) at the time of discharge.

This predictive capability can significantly improve how rehabilitation facilities manage their performance metrics, aiding in both operational efficiency and patient-family discussions regarding post-discharge assistance.

Important Collaborations and Upcoming Events

Sony Network Communications will showcase this innovative solution at two major events: the 62nd Annual Meeting of the Japanese Rehabilitation Medicine Society from June 12-14, and the 3rd Annual Meeting of the Japan Rehabilitation Medical Digital Transformation Society on July 19-20. These platforms will provide opportunities for industry professionals to learn more about the benefits of integrating AI into rehabilitation practices.

Commitment to Continuous Improvement

Sony Network Communications is committed to ongoing service updates and enhancements to ensure that rehabilitation facilities can improve their operational efficiencies and the quality of rehabilitation services provided to patients. The goal is to establish a more robust framework for rehabilitation care, combining the latest in AI technology with the practical needs of healthcare providers.

About Taku Rehabilitation Support System

The Taku Rehabilitation Support System is a leading total support system designed to streamline administrative tasks for therapists. It features a wide array of functions tailored to meet the varying needs of rehabilitation professionals, effectively reducing their workload while enhancing the quality of rehabilitation care offered to patients. For more information, visit the Taku Corporation website.

About Prediction One

"Prediction One" is a powerful AI predictive analytics tool introduced in June 2019. It allows users without specialized knowledge in machine learning or programming to perform predictive analysis with just a few clicks. This tool employs automated modeling capabilities developed by Sony, ensuring high predictive accuracy while automating cumbersome aspects of AI model development, thus lessening the burden on staff. Clinicians benefit from clear action points backed by rationale, facilitating informed decision-making.

For more information, check out the Prediction One site.

Note: This service is not a medical device and is not intended for preventive, diagnostic, or therapeutic purposes. The names of the companies, products, and services mentioned are trademarks or registered trademarks of their respective companies. The information provided is accurate as of the publication date and may differ on search dates. Please verify accordingly.