Within their joint project, the two parties will cooperate on the development of new technologies including digital twins(1) in healthcare to visualize simulations of the prevention and treatment of diseases and an AI technology to predict the onset and severity of diseases based on healthcare data such as EMRs(2) and PHRs(3).
Researchers at
This initiative will be demonstrated at the Fujitsu ActivateNow 2022 special session which will be held online by Fujitsu on
Outline of the joint research
1. Development of digital twin technology to optimize decisions and processes
As part of their joint research,
(a) Digital twins to support optimal provision of health services to patients
- creation of digital twins (virtual images) of patients based on patient medical data and information obtained from diverse test instruments and wearable devices.
- various real-time data will be collected and added to the digital twin on a daily basis to support doctors in accurately and quickly capturing patients' symptoms, make decisions about the best treatment, drug regimens, and surgical procedures for each patient.
(b) Digital twins to support hospital management
- integration of hospital staff personnel information, work information, financial information, and the operating status of medical devices (in addition to medical data accumulated in the electronic medical record system) to enable a real-time monitoring of the operating status of hospital beds and future simulations, support the optimization of daily operations and resources of the hospital and improve the utilization of operation rooms and other medical facilities.
(c) Digital twins to support health promotion and disease prevention of local residents
- development of digital twin technology to predict and visualize future health conditions based on medical history, health examination results and daily life habits and provide information to local residents to enable everybody to live a healthy lifestyle in a world of extended life spans.
- utilization of digital twins in cooperation with local governments and health insurance organizations to encourage local residents to change their behavior towards health promotion and disease prevention and support of the development of systems that contribute to the reduction of national medical expenses.
2. Development of AI model to detect possible diseases
In developing this AI model,
3. Development of infrastructure and data analytics method for practical data utilization
In addition to the development of a new data base for analyzing large amounts of medical data and health examination information that exist in various data formats as well as personal daily lifelogs, the two parties will further develop a new data analysis method for solving social issues by structuring accumulated data into a data format that can be analyzed.
By making the established data base available to various healthcare-related companies such as pharmaceutical and insurance companies,
Proactive human resource exchanges and mutual use of R&D facilities to develop new medical services
To realize application of the newly developed technologies in real world scenarios, the two parties will promote personnel transfer between
In this way,
The two parties will further nurture next-generation data scientists, AI engineers, and other next-generation human resources with medical knowledge and digital technology skills to realize new innovations in the healthcare field.
Future Plans
In order to realize its "Tohoku University Vision 2030(8)" in an ever changing world,
Fujitsu will work with universities and other educational and research institutions as well as medical institutions, pharmaceutical companies, and medical device manufacturers to build a digital health ecosystem in which a wide range of data can be effectively linked and used with the latest digital technology to enable the provision of personalized healthcare throughout the entire life cycle. This project will play a role in its vision for Healthy Living, a Key Focus Area under the Fujitsu Uvance portfolio of global solutions to realize a sustainable future. Fujitsu will utilize the results of this joint research in the development of new solution services and platforms that help to realize a "
(1) Digital Twin: A group of technologies that digitally reproduce real world information in real time.
(2) EMR: Electric Medical Record
(3) PHR: Abbreviation of Personal Health Record. A system in which individuals accumulate and manage their own medical information and other health-related information. Refers to disclosure that can be controlled by an individual.
(4) ASU: Abbreviation of Academic Science Unit. Researchers from companies promoted by
A program that explores needs, applies design thinking, and finds development targets.
www.asu.crieto.hosp.tohoku.ac.jp/ (in Japanese)
(5) OBL:
(6)
(7) Frailty spiral: Frailty refers to a state of weakness between "healthy" and "in need of nursing care," in which, although not a disease, muscle strength and mental and physical vitality decrease with age, making it more likely to require nursing care. The "frailty-spiral" is a series of three frailties: "physical frailty," such as reduced mobility due to muscle weakness; "mental and psychological frailty," such as depression and mild dementia; and "social frailty," such as living alone or in financial poverty.
(8) Tohoku University Vision 2030: Challenging vision of
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