[Introducing generative AI and AI interview] Ubie will exhibit at the Tokyo Medical Institution Digitalization Promotion Seminar held on August 29th
*Ubie Inc.*
Press release: August 16, 2024
[Introducing generative AI and AI interview] Ubie will exhibit at the Tokyo Medical Institution Digitalization Promotion Seminar held on August 29th
Ubie (Headquarters: Chuo-ku, Tokyo, Co-Representative Directors: Yoshimichi Abe and Kota Kubo) will exhibit at the “Reiwa 6th Tokyo Medical Institution Digitalization Promotion Seminar (1st Applied Edition)” hosted by the Tokyo Metropolitan Government. I will do it. This seminar will be held with the aim of promoting the introduction of digital technology at medical institutions in Tokyo, and will introduce the country’s efforts regarding medical DX and the digital technology of each company. On the day of the event, we will have a booth in the second part of the day, introducing “UBY Medical Navi Generation AI”, “UBY Medical Navi”, etc. (participation is free). * ■Outline of “Tokyo Medical Institution Digitalization Promotion Seminar”* * Date and time: *
Thursday, August 29, 2020, 18:00-20:00
*Venue:*
AP Nishi-Shinjuku 4th floor H conference room
Shinjuku Kifu Building, 7-2-4 Nishi-Shinjuku, Shinjuku-ku, Tokyo *Seminar content:*
Part 1 Lecture (18:00-18:45)
Theme: Responding to medical DX
Contents:
・Status of medical DX promoted by the government and responses at medical institutions
・About collaboration of medical information using electronic medical record systems, etc.
Part 2 Introduction of digital technology and practical exercises at booths of each company (18:45-19:45)
*Application deadline:*
Until August 20, 2024 (Tuesday)
For details such as how to apply, please refer to the link below. *
https://www.hokeniryo.metro.tokyo.lg.jp/iryo/iryo_hoken/iryodigital/digitalseminaroyo1.html*
* ■About “UBY Medical Navi Generation AI”*
*Features of “Ubi Medical Navi Generation AI”*
・In addition to text generation and summarization, a variety of functions such as voice recognition and image recognition are available.
・In-hospital data can be used safely without being processed outside the hospital’s individual environment or used for AI learning ・Consultants provide comprehensive support from introduction consideration to utilization in medical settings and business implementation.
・Can be used even in hospitals that have not introduced the service package for medical institutions “Ubi Medical Navi”
“Ubi Medical Navi
“Generative AI” is a service that utilizes multiple generative AIs to solve and support the operational issues faced by medical workers in hospitals. It has functions such as text generation and
summarization, voice recognition, and image recognition, and supports the creation of referral letters for doctors, discharge nursing summary creation and IC record creation support for nurses, and discharge summary creation support and introduction letter creation for medical administration. It is possible to provide support and create conference minutes, etc.
It reduces the high cognitive load at medical institutions and contributes to operational efficiency and uniform quality.
Generative AI combines multiple models that we have verified for accuracy, and applies the optimal model as appropriate depending on the use case. In addition, we provide services in a way that takes network security into consideration, such as by preparing individual environments for each hospital and using generated AI models with data learning functions turned off, unlike those for general users. * ■About “Tokyo Hospital AI Subsidy Package”*
Ubie utilizes generative AI technology to support a wide range of operational efficiency within hospitals.
We offer “Generative AI” and “Ubi AI Questionnaire,” which digitizes and personalizes paper-based pre-questionnaires. In this “Tokyo Hospital AI Subsidy Package,” in addition to the introduction costs of these services, the consulting costs for DX conversion will be covered by the subsidy. This package also supports application support for subsidy projects.
▼Click here for details on the subsidy project
FY2020 Project to promote the use of AI technology in medical institutions * https://www.hokeniryo.metro.tokyo.lg.jp/iryo/jigyo/ai.html