Cloud from the technology 312 million yuan won the bidding of Guangzhou Zhongshan attached to the Nansha hospital area intelligence project

Following the winning of the General Administration of Customs face recognition project, the cloud from the science and technology and took a big government bill.

Recently, surging news (www.thepaper.cn) from the Guangzhou public **** resources trading center was informed that the cloud from the science and technology won the bidding of Guangzhou Nansha District Health Health Bureau of Sun Yat-sen University Affiliated First (Nansha) Hospital Information Infrastructure and Intelligent Management and Control Platform Construction Project, the project bid amounted to 312 million yuan.

Information published on the official website of the Guangzhou Public **** Resources Trading Center

The First Affiliated Hospital of Sun Yat-sen University is a large, comprehensive, Grade 3A hospital, and the construction of the Nansha Campus began in July 2018, with 1,500 planned beds, and is scheduled to be completed in November 2021 and put into operation. It is understood that the project is the world's first from 0 to 1 by the artificial intelligence company led the construction of intelligent hospitals, since the beginning of the design, planning, integrated into the concept of intelligence and the corresponding planning support, is to have a "smart gene" smart hospital.

Bidding documents show that the cloud from the technology will be affiliated with Sun Yat-sen University, the first (Nansha) hospital to build a high-speed information transmission channels and advanced information infrastructure, to adapt to the hospital's different areas of information applications and future development needs, the initial formation of a well-functioning information technology infrastructure system, the construction of integration of high-efficiency, security, energy saving, management of the integration of the wisdom of the digital hospital.

According to the bidding documents, cloud from the technology will be responsible for the first hospital affiliated with Sun Yat-sen University information technology infrastructure system construction and network system construction. The network system is the foundation and core of this project, and is the "pipeline" for the hospital's future information interaction. This project will build a new network system based on the needs of the existing medical system and the operational development needs in the next 5-10 years. The new system needs to be in line with the future electronic medical record system as the core, a variety of medical application systems (such as HIS, PACS, LIS) integration, with wired and wireless network coverage, integrated voice, data, video and virtualization features, and can be interconnected with other hospitals that have the conditions to support telemedicine, teleconsultation, online booking and test results query, remote maintenance of the system and other functions.

In terms of software support, cloud from the science and technology in the acceptance of surging news (www.thepaper.cn) interview, said the company plans to through the human-computer collaboration platform as well as the cloud from the super brain for the project to build the AI wisdom center, to provide human-computer interaction, fusion, **** creation ability. The project will be a comprehensive access to the Internet of Things from the hospital's weak power system, fusion with the visual network, through the cloud from the supercerebrain AI decision-making reverse control, to realize the building all-awareness, green energy saving, the whole process of seeing the doctor a face pass, searching for a person to search for the car of the intelligent supervision.

The overall effect of the First (Nansha) Hospital affiliated with Sun Yat-sen University

Specifically, the cloud from the science and technology plan to provide solutions from the provision of intelligent medical care, intelligent maintenance, intelligent security, intelligent buildings and other aspects. For example, in terms of intelligent medical care, the cloud from the plan to use OCR technology can automatically identify the machine printed medical records, text graphics into structured data, easy to search, access, analysis and organization of the document content, and effectively improve work efficiency.

In terms of medical care, the cloud from the super brain can identify the patient AWOL beds and hospital areas, patient travel accompaniment and patient falls. By connecting the data from medical monitoring devices (temperature, pulse, etc.) to the cloud from the super brain, combined with the medical knowledge base, the patient's physical condition and sleep condition can be comprehensively and meticulously analyzed, so that the patient's condition can be evaluated more objectively and effective prompts can be provided.

Intelligent security, the cloud from the technology to support virtual patrol, the AI label fusion display, accurate identification of medical malpractice, scalping and other dangerous people. After successful identification, real-time alarms can be generated, which can be reminded beforehand to help managers deal with emergencies in a timely manner.

The cloud from the technology incubated in 2015 in Chongqing Research Institute of the Chinese Academy of Sciences, focusing on computer vision and artificial intelligence, is the first at the same time to undertake the National Development and Reform Commission of Artificial Intelligence platform, application platform, the Ministry of Industry and Information Technology chip platform, such as the construction of major projects, and participate in the development of national and industry standards of artificial intelligence enterprises.

On August 18th of this year, the cloud from the technology formally submitted to the Guangdong Bureau of Securities Supervision of the listed counseling registration, surging news from the relevant sources that the cloud from the technology is expected to end of the year to land on the A-share Science and Technology Board.

Proofreading: Zhang Liangliang

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