DX that supports healthcare in various fields such as life insurance, medical/nursing care, and professional sports

While labor shortages are accelerating, the healthcare field requires strong consideration for privacy due to the handling of vital data. However, this field also has the potential to promote drastic reforms of operations and create new business models by making good use of IT technology. This time, based on the concept of DX (Digital Transformation), which has been attracting attention recently, as a company in the healthcare field that is working to solve problems, we will introduce three user cases: life insurance, medical / nursing care, and professional sports teams. .

Case 1: Life Insurance Company C

A smartphone app that realizes contactless health management for employees

Conventional issues

Since the COVID-19 pandemic, companies have been required to balance the prevention of the spread of infection and the promotion of economic activity under the "new lifestyle." The introduction of telework has made great progress in society as a whole, but on the other hand, there are some industries where it is difficult to eliminate contact with people. Companies in these fields have faced the challenge of how to manage the health of their employees non-face-to-face (non-contact).

ソリューションの導入と効果

Company C, a life insurance company that does business with these types of companies, provides a contactless smartphone app for measuring vital signs as part of its customer service, incorporating Macnica 's AI-equipped, video-based vital sign measurement SDK, "Binah.ai."

Binah.ai can measure various vital signs (blood oxygen level, heart rate, respiratory rate, heart rate variability, mental stress level, etc.) simply by taking a picture of the target person's face with a smartphone camera. It takes only about 2 minutes to measure. In addition, while many conventional measurement solutions required dedicated wearable products, Binah.ai only requires a smartphone. Since it is contactless, there is no need to worry about infection, and it is easy to operate and can be used by anyone. By utilizing Binah.ai, health monitoring based on objective data, which is different from the conventional reporting-based method, becomes possible.

Company C offers incentives to contracted companies to promote the use of the app. Based on the various vital signs data collected, the company optimizes insurance premiums and provides personalized health advice to each employee. Company C plans to continue increasing the added value of its services through employee health management.

Case 2: Social Welfare Corporation D-kai

Providing safe monitoring for the elderly 24 hours a day, 365 days a year
Contribution to countermeasures against labor shortages and improvement of service quality

Conventional issues

Japan is rapidly aging with a declining birthrate. Along with this, the shortage of workers in the medical and nursing care field is becoming very serious, and countermeasures and improvement of service quality are expected to become more and more important issues in the future.

Especially in nursing homes, while the number of users requiring care is increasing, a chronic shortage of staff continues. In many of these facilities, there are many cases where staff are worried about nighttime services when the number of staff is limited, and a vicious cycle continues in which staff quit due to the heavy burden. It is also feared that the quality of care itself will decline as a result.

ソリューションの導入と効果

D-kai, a social welfare corporation that operates multiple nursing care facilities, has introduced the non-contact monitoring sensor "noomi" provided by Macnica to solve these problems. noomi is a sensor that can monitor heart rate, breathing, stress, sleep quality, body movement, etc. in real time. It can be used by simply installing a thin sensor under the mattress of the bed, so the resident does not feel uncomfortable while sleeping and does not place any unnecessary burden on the resident.

Measured data is transferred to the cloud via Wi-Fi, and alerts are sent to staff when an abnormal situation occurs. Enables quick response. Additionally, if the patient does not return to bed for a certain period of time after leaving the bed, an alert can be sent to the staff. The bed leaving detection function can be set in 6 levels, and the detection level can be set according to the user's condition. This helps prevent falls by allowing residents to be assisted before they are completely out of bed, contributing to a reduction in the burden of nighttime work and improving the quality of the services provided.

Macnica also provides monitoring solutions for elderly people at home. This solution installs a small 4D image sensor indoors, and the sensor operates 24 hours a day to capture user behavior patterns. You will be able to remotely monitor indoor activities. Since no cameras are used, it scans the environment and records activity levels in real time while protecting privacy. It is also possible to detect falls and alert in case of abnormalities through breathing monitoring. Use cases include home care providers, security companies, etc.

Case 3: Professional Sports Team E Soccer Club

Utilizing EMG (myoelectric) compatible pants to reduce the risk of injury to athletes

Conventional issues

For professional sports teams, player injury is a big risk that can adversely affect the game and team performance. Even if you spend a lot of money to acquire a promising player, the investment may be wasted if the player breaks down in the middle of the season. For that reason, optimal training is required to improve the physical strength of athletes, prepare for competitions, and recover from injuries, which is an important factor in preventing injuries.

ソリューション導入と効果

In order to minimize the risk factors associated with player injuries, the E-Soccer Club, a professional sports team, is considering implementing a solution using EMG (Electromyogram) sensors provided by Macnica.

With this solution, athletes wear shorts/panties that seamlessly integrate EMG sensors and pod modules to monitor quadriceps, hamstring, and glute activity in real-time during practices, games, and other activities. Collected at. This is combined with external movement data (traveling distance, acceleration, etc.) captured by the pod module to achieve integrated analysis of movement data. Through data analysis, team trainers can plan optimal training tailored to each player's muscle activity and fatigue level, reducing the risk of injury.

Traditionally, such training was based on the personal knowledge and know-how of coaches and trainers, and was almost a craft. However, if you use this solution, you will be able to accumulate data and make objective decisions without relying on individual people. Even if a coach or trainer changes, appropriate decisions can be made.

Macnica 's current policy is to provide this solution mainly to professional sports teams. By collecting data on many players and analyzing their plays and practices, we aim to develop unique solutions to strengthen team strength, and plan to provide feedback to the general public.

binah.ai product documentation