News Release Dated April 16, 2024
Company: Japan System Techniques Co., Ltd.
Representative: Takeaki Hirabayashi, President and CEO
Stock code: 4323, Tokyo Stock Exchange, Prime Market
Contact: Taku Hirabayashi, Director and Senior Officer
Tel: +81-6-4560-1000

Recommendation Service for City of Kobe Using Disease Risk Forecasting AI
Japan System Techniques Co., Ltd. (JAST) has developed a disease risk forecasting AI that uses thecompany’s REZULT medical big data platform and has started providing this technology to the City of Kobein order to send messages to residents that recommend receiving an examination at a healthcare facility. Thedetails are as per attached.
This matter will have only a negligible effect on JAST’s results of operations. An announcement will be madepromptly if there is any additional information that should be disclosed.

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NEWS RELEASE

April 16, 2024
Japan System Techniques Co., Ltd.

Recommendation Service for City of Kobe Using Disease Risk Forecasting AI
Japan System Techniques Co., Ltd. (JAST) has developed a disease risk forecasting AI that uses the company’s REZULT
medical big data platform and has started providing this technology to the City of Kobe in order to send messages to residents
that recommend receiving an examination at a healthcare facility.
◼

Disease Risk Forecasting AI

JAST has used its REZULT medical big data platform consisting mainly of health insurance invoice data to develop
technology for a machine learning model that forecasts the risk of lifestyle diseases occurring five years after a regular medicalexamination. The practical use of this technology has now started. This development project included the oversight andassistance of Dr. Takahiro Hoshino who is a professor of the Department of Economics at Keio University and leader of theBusiness and Economic Information Fusion Analysis Team at the RIKEN Center for Advanced Intelligence Project.
JAST’s disease forecasting technology uses a much more accurate model than the conventional risk assessment model byincorporating height, weight, age and other characteristics of individuals. This technology makes it possible to calculate
numerical values for the risk of a specific person developing a disease. Providing this information is expected to make people
more aware of the importance of healthy life styles and alter behavior by encouraging people to undergo medical checkups,including examinations for a specific problem. The JAST disease risk forecasting AI is currently able to determine forecasts
for 10 diseases, mainly lifestyle diseases.
インプットデータ
Data input

Risk Target person
Diseaseリスク
疾病
対象者

血圧80mmHg

BMI

28kg/m2

HbA1c

8.0%

空腹時血糖 80mg/dl
Age, gender,
年齢・性別
medicalcheckup
健診データ
等
HDL
50mg/dl
data, etc.

高血圧症

1.0

糖尿病

1.5

脂質異常症 1.1
Diseaseriskforecasting
モデル適用
リスク算出
Risk
calculation
AI application

1.5糖尿病発症
times risk ofdeveloping
リスク
diabetes
1.5倍

REZULT
メディカル
medicalbig
ビッグデータdata「REZULT」
Statistics/
統計学・行動経済学

Academic guidelines/
学会ガイドライン・論文

Behavioral economics

Papers

Structure of the disease risk forecasting AI model◼

Notification Service for Residents of Kobe

JAST has been providing a healthy life style support service, which includes assistance for preparing national health insuran ce
data health plans, to the City of Kobe since 2013. In 2022, the City of Kobe started a project for sending residents
recommendations to visit healthcare facilities for examinations that can prevent lifestyle diseases from becoming serious.
JAST has provided support for this project concerning the selection of people to receive recommendations, the compositionof recommendations to undergo an examination and measuring the effectiveness of these recommendations.
The results of a medical examination are combined with other data about the individual in order to determine the risk ofdeveloping a lifestyle disease. As a result, people can receive messages with information specific to their own characteristics.
Including information in messages about the individual’s current health further raises awareness of the importance of measures1

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to stay healthy and the need to undergo a medical examination.
For the provision of this service to the City of Kobe, JAST is using the city’s health insurance invoice data and data frommedical examinations for relearning activities.

Medical examination recommendation messages include a variety of personalized information◼

Upcoming Activities

JAST is continuing to use numerous measures to further increase the use of this AI forecasting model as well as to raise its
accuracy by using a broader range of learning data and accumulating more data about changes in the behavior of people who
receive messages. In addition, JAST is studying ways to make output reflect the needs of the market even more closely andcreating more products and services in order to help people covered by health insurance remain in good health.
* Health insurance invoices
When an individual receives a medical treatment covered by insurance, the healthcare institution sends an invoice listing theprocedures and amounts due to the insurance company or organization. For medical and dental care, an invoice listing theprocedures and amounts due is sent. For pharmacies, an invoice listing the drugs supplied and amounts due is sent. For nurses
visiting individuals at home, an invoice listing home nursing care services and amounts due is sent. One invoice for eachpatient and individual healthcare institution is prepared every month. Invoices contain information about the reasons that
individuals received medical care, the cost of the care and other items. JAST converts this information into a database forsubsequent utilization.

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Inquiries

Japan System Techniques Co., Ltd.
Contact: Healthcare Innovation Business Division
TEL: +81-3-6718-2785 (Tokyo), +81-6-4560-1050 (Osaka)E-mail: jmics-sales@jast.co.jp
URL: https://jmics.jp/2