AI Healthcare
Medical intelligence solutions
The Medical Intelligent Computing Solution aims to provide a comprehensive, efficient and secure digital transformation path for the medical industry through advanced technologies such as cloud computing, big data and artificial intelligence, promote innovation in medical research and bring about a comprehensive intelligent upgrade for hospitals, doctors, patients and regional public health systems.
Capabilities
AI Infrastructure
Provide high-performance, scalable cloud computing resources to meet the high demands of AI medical platforms in data processing, storage, and computing. Elastic scaling capabilities ensure that resources are allocated on demand and reduce operating costs.
Data Security and Compliance
Implement strict data encryption, access control, and audit mechanisms to ensure the security and compliance of medical data. Comply with relevant national security laws and regulations, such as Level 3 security certification, to ensure the legal and compliant use of data.
AI Capability Integration
Integrate advanced AI technologies, such as speech recognition, natural language processing, and image recognition, to improve the level of intelligence in medical services. Used in multiple scenarios such as auxiliary diagnosis, medical record management, and doctor-patient communication to improve efficiency and accuracy.
Medical Image Analysis
Using deep learning algorithms, accurately analyze medical images to assist doctors in quickly identifying lesions and improving diagnostic efficiency. Supports multimodal image fusion analysis to enhance the comprehensiveness of diagnosis.
Intelligent Diagnosis and Treatment Assistance
Develop a clinical decision support system based on big data and AI algorithms to provide doctors with personalized and precise diagnosis and treatment recommendations. Assist doctors in formulating treatment plans, improving treatment outcomes and patient satisfaction.
Medical Big Data Governance
Build a medical big data platform to achieve unified collection, processing, and analysis of data. Support data mining and predictive analysis to provide support for medical research and decision-making.
Patient Service Platform
Build an integrated online and offline medical service model to provide convenient appointment registration, online consultation, medical insurance payment, and other services. Optimize the patient’s medical process through intelligent guidance and question-and-answer systems, enhancing the medical experience.
Regional Medical Collaboration
Establish a regional integrated management platform to achieve information sharing and resource assistance among medical institutions at all levels. Promote the downward flow of high-quality medical resources and improve primary medical service capabilities.
Challenges
Uneven distribution of resources
High-quality medical resources are highly concentrated in the tertiary hospitals in large cities, while primary medical institutions face the dilemma of lack of resources and insufficient capacity. This imbalance leads patients to tend to go to large hospitals for treatment, further increasing the workload of these hospitals.
The demand for computing power has surged
With the in-depth application of AI technology in the medical field, the demand for computing power in scientific research projects and clinical decision support systems has increased dramatically. These tasks require processing multi-dimensional data streams and conducting complex comprehensive analysis and mining, which places extremely high demands on hardware resources and computing power.
Data security and compliance challenges
Medical data involves sensitive information such as personal privacy. Once leaked, it will cause immeasurable losses to patients. It is necessary to strictly comply with relevant laws and regulations and policy requirements to ensure the legality and compliance of data processing and use.
Urgent demand for intelligent services
In order to improve patient satisfaction and medical efficiency, medical institutions need to introduce intelligent service methods, such as intelligent medical guidance, online consultation, etc. Therefore, how to improve the level of intelligent services while ensuring data security has become one of the important issues that medical institutions need to solve.
Advantages
Comprehensive coverage
From infrastructure to application services, we fully meet the digital and intelligent transformation needs of the medical industry.
Efficient and safe
High-performance computing resources combined with strict data security measures ensure efficient business operation and data security.
AI Upgrades
Integrate advanced AI technology to improve the intelligence level of medical services and optimize patients' medical experience.
Flexible expansion
Elastic cloud resources and distributed architecture support on-demand expansion, reducing construction costs and maintenance difficulties.
Ecosystem Cooperation
Integrate the resources of ecological partners to jointly promote innovative smart medical services and transformation of results.