Huawei’s Ambition in Digital Healthcare: The Healthcare Corps Led by Data Lake Technology

Huawei recently hosted the global healthcare forum, highlighting Data Lake contributions toward healthcare Intelligence. Under the theme “Intelligent Data Driving Inclusive Healthcare,” Zhou Yuefeng, President of Huawei’s Data Storage Product Line. He emphasized Data Lake technology’s role in enabling comprehensive healthcare intelligence. Huawei appointed Zhang Weili, former DCS President, to lead its Healthcare Corps, focusing on AI-assisted diagnostics. It advances medical AI adoption in clinical settings.

Huawei’s Data Lake Integrates Healthcare Scenarios

Zhou Yuefeng pointed out that the exponential growth of healthcare data has made seamless data flow a critical driver of medical innovation. Huawei upholds the principle of “continuous data availability and value realization” by utilizing Data Lake technology to integrate healthcare scenarios, launching multimodal data lakes and DCS (Data Center Solutions) AI solutions. 

Huawei’s Data Lake focuses on three strategic directions: strengthening intelligent infrastructure, accelerating AI integration, and advancing innovative scenario-based solutions to achieve its vision of “using technology to enhance healthcare.” The architecture of Huawei’s AI Data Lake solution consists of three layers: data storage, data fabric, and data services.

Zhou Yuefeng mentioned that these directions and solution layers of Data Lake enhance data processing capabilities and inject new momentum into the development of medical AI. This accelerated overall healthcare intelligence such as an 80% reduction in medical data preparation cycles and a 30% decrease in model training durations.

Li Junfeng, Vice President of Huawei and President of the Public Sector Business Group added that Huawei currently serves over 5,600 healthcare institutions in more than 110 countries and regions.

For example, in medical imaging analysis, this technique combined with AI algorithms can store and process vast amounts of medical images. Deep learning models assist in diagnostics, such as automatic tumor and cardiovascular disease detection, improving diagnostic accuracy and efficiency. In genomics and precision medicine, it stores and processes large-scale genomic data, facilitating personalized treatment plans by integrating genetic sequencing analysis with clinical data, especially in cancer treatment and genetic disease diagnostics.

Huawei’s Expanding Footprint in Healthcare: From Digital Solutions to Data Lake Integration

Before establishing its Healthcare Corps, Huawei had already made significant inroads into the medical sector. Over 1,800 tertiary hospitals in China, along with national and regional health information platforms, have adopted Huawei’s digital technologies and services. ​

In the era of large-scale AI models, Huawei has maintained its focus on AI-to-B (business) services rather than targeting the consumer market directly. At the inaugural China Medical Development Conference, Huawei introduced the concept of the “Healthcare Intelligent Body.” Subsequently, the company launched tools such as EI Health, covering areas like drug research and development, imaging diagnostics, and health management, as well as the ModelArts platform to assist medical institutions in rapidly training and deploying models. ​

Over time, Huawei’s presence in the healthcare sector has expanded through collaborations with partners across various scenarios, including pharmaceutical R&D, clinical diagnostics, and medical informatics. For instance, with AI in drug development,  Huawei has collaborated with pharmaceutical companies and contract research organizations (CROs) to build AI-driven drug development platforms, accelerating early-stage drug design and shortening R&D cycles. 

​For other examples with hospital settings, Partnering with established medical informatics companies such as Winning Health Technology Group, Huawei has introduced solutions to support the development of smart hospitals. ​Besides, in clinical diagnostics, Huawei has worked with medical imaging companies to develop intelligent medical imaging systems and AI-assisted diagnostic functions for digital radiography equipment. ​In collaboration with genomics companies, Huawei has developed gene sequencing data analysis platforms, enhancing genomic processing efficiency through high-performance computing (HPC).

Winning Health Technology Group partnered with Huawei Cloud to launch the “Winning Health National Health Information Platform” solution. Its large medical model, WiNGPT, has been adapted to Huawei Ascend and successfully passed interoperability certification. 

Winning Health Group Collaborated with Huawei Data Lake  China

Winning Health collaborated with the regional Health Commission to deploy “DeepSeek + WiNEX Copilot.” This system provides smart assistant services, including “Medical Assistant – Ning Xiaowei,” AI-powered checkup and test report interpretation, and an intelligent dashboard for mutual recognition of diagnostic results.

Smart Assistant for Doctors: The “Medical Assistant – Ning Xiaowei” AI tool has been integrated into 81 hospitals across the region. It assists doctors by offering real-time medical insights and clinical decision support, improving diagnostic efficiency.

AI-Based Test Report Interpretation: AI can now instantly analyze cross-institutional checkups and test reports, identifying abnormal indicators and suggesting next steps. Additionally, the dashboard leverages AI-driven data analysis to generate reports that help optimize the mutual recognition system for diagnostic results.

Qingdao case: Dual-Model AI Integration for Smart Healthcare

Winning Health and the Qingdao Health Big Data Center have successfully upgraded the city’s health information platform with AI capabilities, using the “WiNGPT + DeepSeek” dual-model system:

Doctors: Bidirectional referral assessments and test report interpretations enhance efficiency and service quality.

Residents: “Health Qingdao” WeChat services enable citizens to access personalized health evaluations.

Healthcare Administrators: AI-assisted analytics provide insights into healthcare trends, resource allocation, and policy planning. The platform automatically generates reports on key indicators, facilitating data-driven decision-making.

Hohhot case: AI-Driven Smart Healthcare for Medical Communities

Winning Health deployed the “DeepSeek + WiNEX Copilot” system in Hohhot’s integrated healthcare community, implementing various AI services:

AI-Assisted Referral Evaluation: Optimizes hospital and clinic referrals, reducing decision time and improving resource utilization.

AI-Based Healthcare Reform Monitoring: Analyzes key metrics such as financial management, medical services, public health, insurance burden, and patient satisfaction. The system predicts trends and offers optimization recommendations, supporting the transition to an efficient, data-driven healthcare model.

Global Experts Share Huawei’s Healthcare Intelligence Success Stories

Healthcare leaders worldwide also shared their success stories with Huawei. When it comes to medical records, ​transitioning from paper-based medical records to electronic records is often a challenging process for healthcare systems.  Luis Santiago Sánchez Fernández, Chief Technology Officer of Spain’s Andalusian Health Service (SAS), discussed the interplay between technology and healthcare.

He introduced the development of the electronic medical record (EMR) system, Diraya, within Spain’s digital health strategy for 2030. Through collaboration with Huawei, SAS has established an efficient and intelligent healthcare system serving nearly 9 million residents, enhancing healthcare accessibility and quality. 

Meanwhile, ​communication and synchronization between data silos, as well as digital transformation, present crucial tests also for healthcare groups with multiple campuses. Tsvetomir Nikolov, Network Technology Director of Bulgaria’s Acibadem Healthcare Group, shared insights into the group’s digital transformation. 

He emphasized that digital technology is a solid foundation for adopting advanced medical practices. Acibadem, in partnership with Huawei, has developed a smart hospital campus and an active-active data center. This improved data retrieval performance for hospital information systems, medical imaging access, and communication systems among different hospitals. 

Huawei Transforms Healthcare Services Worldwide by Leveraging AI and Data Technologies

Huawei continues to play a vital role in the global AI healthcare ecosystem, driving innovation through collaborations with medical institutions and technology partners worldwide. By leveraging its AI and Data Lake technologies, Huawei accelerates advancements in diagnostics, clinical decision-making, and medical administration, contributing to the transformation of healthcare. 

Through deep cooperation with healthcare organizations globally, Huawei has built an open AI ecosystem that supports the implementation of cutting-edge technologies. The applications are from data storage and AI algorithms to scenario-based medical solutions. These efforts enhance healthcare efficiency and promote greater availability across the industry.  

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Author

Steven Chung

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