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Neusoft and Zhongnan to develop next-generation smart hospital

en.whkfq.gov.cn | Updated: 2025-08-25

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Neusoft Software Park in WEDZ. [Photo/WeChat account: whkfq]

Neusoft Group and Zhongnan Hospital of Wuhan University have signed a strategic cooperation agreement at Neusoft Software Park in Wuhan Economic & Technological Development Zone (WEDZ), which is set to propel advancements in smart hospital technologies, digital twin applications, and the commercialization of medical-engineering research.

Neusoft Group, established in 1991, is a global leader in information technology, offering innovative products and solutions. The company has played a pivotal role in developing medical insurance information systems in 25 provinces and over 200 cities across China. It has also established 29 city cloud hospital platforms, forming the largest cloud hospital network in the country.

The WEDZ Neusoft Software Park, Neusoft's third R&D base in China, specializes in automotive electronics, healthcare, smart cities, and the development of core technologies like big data, artificial intelligence, and blockchain.

Zhongnan Hospital, founded in 1956, is a cornerstone of medical excellence. The partnership between Neusoft Group and the hospital began in 2002, and for the past 23 years, they have made significant strides in medical informatization, digitization, and intelligent construction.

The current partnership aims to transform Zhongnan Hospital into a leading hub for technology, talent, and innovation in smart hospital and digital twin hospital domains.

Patients visiting the hospital can interact with the Neusoft's digital AI assistant, which addressed queries such as "Which department should I visit for dry eyes?" by recommending specialists in corneal or ocular surface diseases and providing a digital consultation map.

The digital twin hospital concept enables personalized recommendations for suitable departments and doctors during appointment scheduling, based on patient conditions. During consultations, doctors can simulate disease progression and treatment outcomes using historical patient data to determine optimal treatment plans.

In surgeries, real-time synchronization of patient vital signs and surgical progress enables AI to alert medical staff to potential risks.