/ JP

AI / HealthTech

Artificial Intelligence / HealthTech

User behavior prediction with AI to avoid danger for people in a nursing home

By using AI to analyze medical and nursing care data, also make decisions on user behavioral predictions, we are able to provide a user experience that will not only solve manpower shortages by improving operational efficiency but also ensure user safety and reduce the burden on workers.

Solve Medical and Nursing Care Challenges by using health tech

Japan is a super-aging society. Therefore, numerous concerns are related to medical care and nursing care.
For instance, one of the most concernedly "2025 problems," the aging of baby boomers in the latter years of life, and the rising cost of medical care due to the increase in chronic diseases such as lifestyle-related illnesses are seen as problems.
The shortage of doctors in rural areas and the harsh working environment for medical and nursing care workers are also considered problematic.
In addition, the medical care system and nursing care environment are being questioned more than ever in the fight against infectious diseases.
Despite the government's efforts to reform the healthcare system, it has yet to solve all of the problems.
"HealthTech" is one of the expected ways to solve various difficulties in the medical and nursing care fields.
Solve Medical and Nursing Care Challenges by using health tech

HealthTech means innovative medical care, nursing services, tools, and creation of them.

HealthTech Development Case by Taira Promote

Taira Promote is developing an application that allows staff to detect and understand risks that exist in nursing care facilities at an early stage.
The system uses AI to analyze the posture of facility users and detect behaviors before they become dangerous. We are working with the social welfare corporation Taishokai to develop a system that can provide even greater security and safety in nursing care facilities.
AI HealthTech

KEY CONCEPT

User behaviour prediction and Predictive detection by AI

"User behaviour prediction" and "Predictive detection" by AI

Recognizes posture and analyzes behavior before it becomes a dangerous situation.
Real-time and advance notification ensures that staff can respond in a timely and effective manner.

No special equipment or installation work required

No special equipment or installation work required

All devices are available on the market and ready to be used immediately.
This way removes the psychological stress of users and reduces the hurdles to implementation.

Visualizing the whole facility

Visualizing the whole facility

We aim to expand the detection range and analyze not only the rooms but the entire facility.
By monitoring the whole facility, it will be able to reduce the possibility of missed hazards, and also to detect and improve risks that were previously unnoticeable.

3 advantages

Prevent falls and avoid litigation risks

Technical verification is being conducted in an actual facility with the full cooperation of the social welfare corporation Taishokai.

Prevent falls and avoid litigation risks

Motion detection reduces fall accidents by predicting the possibility of falling and notifying the staff at the earlier stage.
Based on those detection history information that has been stored, can be used for further clarification of the risk factors of falls and countermeasures.
In addition, this information can be used as evidence in the event of an accident, thus avoiding the risk of litigation.

Reducing psychological stress of users

Reducing psychological stress of users

Our health tech reduces the number of daily ward rounds at night for the purpose of checking on the patient, which provides a calm and enjoyable environment for the users.

Improvement in the workplace environment

Improvement in the workplace environment

Not knowing what will happen at any given time can be stressful, especially during a night ward round. However, it can reduce staff pressure by notifying them when there is a risk to a user's condition.
Improvement of the workplace environment leads to a reduction in turnover and retention of new employees.

System

Our goals

Our goal is to reduce the burden on both users and staff, which is to realize a care system that is truly reassuring to everyone involved.
Currently, in the verification stage of the concept, we are working toward practical application by operating the mockups we have produced at model facilities.
In September 2022, the system will be deployed to a number of facilities in Oita, aiming for stable operation and improvement of users' QOL.
In 2023, as the "Oita Model," we are planning to achieve a business model for the entire community that includes not only nursing care facilities but also home care.
Project Flow
Relation Image

Combination of professional expertise from various fields to build up the future of nursing care.

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