eWeLL Co., Ltd.
eWeLL’s new generative AI service “AI Visiting Nursing Plan” exceeds 10,000 uses within 24 days of release!
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eWeLL Co., Ltd. (stock code: 5038, head office: Chuo-ku, Osaka, hereinafter referred to as eWeLL), which develops and provides the iBow series of home medical DX support services, aims to shorten the time it takes for visiting nurses to create plans and improve the quality of nursing care. The number of users of “AI Visiting Nursing Plan”, the first system in Japan (*1) that automatically creates a visiting nursing plan with one click using generated AI, released on April 17, 2024 in order to normalize the service. We are pleased to inform you that the number of uses exceeded 10,000 within 24 days of launch. As the new services developed by eWeLL as a home medical platform provider have gained support in the market, we will support new services such as Care Log (tentative name), AI Home Nursing Report, and AI Visit Schedule, which are scheduled to be launched in the future. are also expected.
iBow service site (AI visiting nursing plan):
https://ewellibow.jp/kinou/ai-visiting/
[Image 1: https://prtimes.jp/i/26391/34/resize/d26391-34-d053bcc8445a3ec0a67c-0.jpg&s3=26391-34-4917e2e3e0612ec797868288c42249ab-1920×1280.jpg] ■Background of the rapid increase in usage in a short period of time after release
“AI Visiting Nursing Plan” is the first system in Japan developed to shorten the time it takes for visiting nurses to create plans and standardize the quality of nursing care. As the birthrate declines and the population ages, the demand for home-visit nursing care continues to rise.According to the Ministry of Health, Labor and Welfare, 130,000 nurses will be needed in 2025, but in 2022, when the latest survey was conducted, there will be a shortage of 100,000 nurses (* 2) is an issue. To address this issue, “AI Visiting Nursing Plan” is an innovative service that utilizes generative AI to automatically create a visiting nursing plan with one click.
The fact that this service has been used 10,000 times in a short period of time after its release means that there is a strong latent interest among home health care workers in services that utilize generative AI, and that it is possible to meet customer needs and solve the essential problems of home health care. We believe that the products developed by eWeLL match those interests.
We believe that there are two reasons why the number of uses of this service has increased rapidly in a short period of time since its release.
First, we believe that creating a home nursing care plan, which previously took an average of 15 minutes per user, can now be created easily in about 3 minutes with one click.
When trying to obtain a good answer using generative AI, the answer changes greatly depending on the instructions called “prompts” and the way the question is asked, so it would have been difficult to utilize it in the field of home-visit nursing.
This service uses data registered in the electronic medical record and optimizes the system with prompts, so documents can be created with a simple one-click operation, which requires only one click.
Furthermore, the creation time can be significantly reduced. Second, until now, the accuracy of the contents of visiting nursing plans has been uneven due to the experience of visiting nurses and their poor writing skills, but by using this service, the accuracy of the contents of visiting nursing plans has been biased due to the experience of visiting nurses and their poor writing skills. It is thought that it is possible to create a standard home nursing care plan regardless of skill.
Furthermore, with the “AI Home Visit Nursing Plan,” the
automatically created plan is checked and completed by a nationally qualified nurse. Therefore, the next time you create a plan using this service, the contents of the previously completed plan will be incorporated into the plan, so the plan that is automatically created will be more suitable for each user’s individual situation. This will improve accuracy.
■Characteristics of “AI visiting nursing plan”
・Automatically create a visiting nursing plan with one click ・Anyone can create a plan of a certain standard regardless of experience ・The more you create it, the more accurate it becomes in line with the individuality of the user.
・ Anyone can use the visiting nursing station (*4)
・Reliable security to prevent information leaks
■Future developments
eWeLL utilizes generative AI that has been put into practical use and a total of more than 48 million chronic medical big data recorded daily by visiting nurses in 47 prefectures nationwide, to solve unprecedented multiple home medical care issues. We will continuously release new services.
[Image 2: https://prtimes.jp/i/26391/34/resize/d26391-34-35e98f4eba23ab76337a-1.jpg&s3=26391-34-4a414cf3ee8361f596257ca25b86f91e-1600×581.jpg] eWeLL will continue to create new value as a home medical care platform and contribute to the development of home medical care with innovative services that meet market needs.
■About eWeLL Promote business support for home medical care using IT. The main business is a cloud software business that provides subscription services such as the electronic medical record “iBow” for visiting nursing stations that support home medical care. It is used in the day-to-day operations of , and supports the medical treatment of more than 200,000 home-based patients (*6).
[Image 3: https://prtimes.jp/i/26391/34/resize/d26391-34-70a68706f7246c50bb47-2.jpg&s3=26391-34-8566445d66554a6b2c713254bc50f860-906×225.jpg]
[Image 4: https://prtimes.jp/i/26391/34/resize/d26391-34-9c91ec8f43a76f033473-3.jpg&s3=26391-34-2335d98a83a2805f6720282a07e22bee-1575×897.jpg] Company name: eWeLL Co., Ltd. Listing market: Tokyo Stock Exchange Growth Market (Stock code: 5038) Representative: President and CEO Taketo Nakano Head office: Osaka Midosuji Building 13F, 4-1-3 Kutaro-cho, Chuo-ku, Osaka Established: June 11, 2012 Business details: Business support business in the field of home medical care (Providing SaaS-type business support tools (electronic medical record system “iBow”) for visiting nursing stations, etc., ” iBow
Administrative Management Agency Service, etc.) URL: eWeLL official website https://ewell.co.jp eWeLL IR information
https://ewell.co.jp/ir
iBow official website https://ewellibow.jp Awards: “Minister of Economy, Trade and Industry Award” Grand Prize (16th Japan New Business Creation Award) “Small and Medium Enterprises Organization Chairman’s Award” (21st Japan Venture Awards) “EY Entrepreneur・Of the Year 2023 Japan”
*1 In-house research as of April 2024. As a “visit nursing plan creation function using generated AI” in Japan.
*2 Ministry of Health, Labor and Welfare 2019 “Medical Worker Supply and Demand Study Group/Nursing Staff Supply and Demand Subcommittee Interim Summary (Summary Version)” Scenario 3 (zero overtime) and “Reiwa 4 Nursing Service Facilities/Business Establishment Survey” From “Overview of the situation.”
*3 In-house research. The average time it takes to create a plan is 15 minutes per case for humans, but 3 minutes when using the “AI home nursing care plan”. Multiplying this by the average number of people using the visiting nursing station, 51, results in an average reduction of approximately 120 hours per year. The average number of users is based on the Ministry of Health, Labor and Welfare’s 2021 “Survey on Nursing Care Facilities and Establishments,” “Statistics on Nursing Care Benefit Expenses, etc.” and “Survey on Nursing Care Expenses,” and the average number of nursing care insurance is calculated by dividing the total number of users by the number of establishments. Estimated to include 42 people and an average of about 9 people with medical insurance.
*4 To use this service, you need to install the electronic medical record “iBow”.
*5 Total number of nurses, associate nurses, physical therapists, occupational therapists, speech therapists, and mental health social workers working on iBow as of the end of December 2023.
*6 Number of patients eligible for valid visiting nursing instructions on iBow issued as of the end of December 2023.
More details about this release:
https://prtimes.jp/main/html/rd/p/000000034.000026391.html