#None #Sony Network #Prediction One #Rehabilitation AI

A New Era in Rehabilitation Management with AI

Sony Network Communications has officially announced the launch of its groundbreaking AI solution tailored for the rehabilitation sector, known as the "Rehabilitation AI Solution." This innovative tool leverages the company's existing AI predictive analytics platform, "Prediction One," specifically designed to predict patient outcomes in rehabilitation wards.

The new solution comes equipped with a user-friendly interface that allows therapists to execute predictions based on patient demographic data and 18 Functional Independence Measure (FIM) indicators with just a single click. This streamlined process not only improves operational efficiency but also enables therapists to focus their efforts on direct patient interaction and care.

The "Rehabilitation AI Solution" was initially tested in selected rehabilitation facilities starting in June 2024, and based on user feedback, it has undergone iterative updates leading to this official launch. It's important to note that this solution is not a medical device and does not serve purposes related to prevention, diagnosis, or treatment; rather, it functions by comparing statistical data collected with input data.

Key Features of the Rehabilitation AI Solution

Streamlined User Interface for Enhanced Efficiency

One of the most compelling features of the Rehabilitation AI Solution is its specialized UI that allows clinicians to run predictions for all 18 FIM indicators at once, significantly reducing the amount of time therapists need to spend on predictive analysis. Traditionally, using the standard "Prediction One" tool, each prediction required separate execution, resulting in multiple output data points. The new UI presents all results in a tabular format, greatly enhancing workflow productivity while maintaining high accuracy with minimal patient data input.

Expanding Predictive Models

Beyond merely predicting FIM outcomes, the solution can adapt to the specific needs of hospitals, allowing the development of new AI models, such as estimating upper limb recovery or predicting hospitalization lengths using hospital-specific data.

Dedicated Support from Data Scientists

To ensure that each hospital can maximize the benefits of this AI solution, dedicated data scientists provide tailored usage support. They assist clinics in identifying suitable AI applications, developing custom AI solutions, and offer ongoing support post-implementation for a seamless AI integration experience.

High Security and Flexible Implementation

The solution can be implemented within an on-premises environment, eliminating the need for an external internet connection and significantly minimizing the risk of data breaches. Furthermore, it supports flexible scaling, allowing facilities to start with minimal configurations based on their immediate needs.

Positive Reporting from Pilot Hospitals

Initial reports from hospitals involved in the pilot phase reveal numerous operational benefits:

• - Increased Efficiency in Performance Index Management: "Having instant access to predictions across multiple patients has significantly improved our management tasks. It allows us to spend more time with patients and concentrate on interventions."
• - Reduction in Predictive Workload: "The interface is intuitive, and I can operate the system without much training. Plus, the support is readily available whenever I need assistance."
• - Realization of Data Utilization within the Hospital: "Although we built a database, we struggled to fully utilize the accumulated data. Now, with the ability to develop various AI models, we feel like we are leading AI implementation across the rehabilitation sector."

Ongoing Commitment to Improving Rehabilitation Services

Sony Network Communications is committed to continuous updates and improvements in its services, aiming to enhance the quality of rehabilitation care for patients and their families while also optimizing hospital operational efficiency. The company aspires to standardize the use of AI in the rehabilitation industry. For further information regarding the Rehabilitation AI Solution, interested parties can visit this service page. Corporate inquiries can be directed to this contact page.

Background on the Implementation

Rehabilitation facilities focus on patients who have completed acute care and aim to restore them to their prior lifestyles. Accurate outcome predictions for patients undergoing rehabilitation are crucial for managing rehabilitation plans and performance metrics effectively. Historically, predicting these outcomes required therapists to spend substantial time analyzing large volumes of data. However, with the advancement of AI technologies, accurate predictions can be achieved much quicker, contributing to enhanced management efficiencies and reduced workload for clinicians.

This high level of precision aims to clarify goals, easing patients' anxieties and boosting their motivation toward rehabilitation. In June 2024, Sony Network, in collaboration with Tokachi Rehabilitation Center, developed an AI model tailored for predicting outcomes, showcasing high accuracy in forecasting independence in walking, toileting, and other critical rehabilitation indicators. After broad evaluations across multiple facilities, the company is prepared to apply its developed AI technology nationwide, heralding this new solution's launch.