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Can medical X-ray machines "snap away" like cameras? Jiangsu's public data is "heading towards" the future in this way
Source: Intersection NewsRelease time:2025-11-03

Jiaohui Dian News. Reporters learned from the Jiangsu Provincial Data Bureau that the list of practical cases of public data "getting into action" in counties (cities, districts) was officially released recently. Virtual power plants, public transportation, data-driven food ingredient distribution, AI-enabled enterprise services... Public data "getting into action" is making people's life, work, and travel more intelligent and convenient.

When it comes to intelligence and convenience, the "Grassroots Mobile Imaging Diagnosis and Treatment Scenario Based on Beidou + Portable X-ray System" recommended by the data department of Xinwu District, Wuxi City, caught the reporter's curiosity in the October case list.

The construction unit of this scene is Space Beidou (Jiangsu) Medical Technology Ltd. It addresses two major pain points in the medical industry: first, the phenomenon of "data silos" existing between medical institutions, especially the difficulty in achieving mutual recognition and sharing of X-ray imaging data in a safe and efficient manner; second, in the mobile medical scenario, traditional X-ray equipment often faces challenges such as unstable image quality and insufficient spatial positioning accuracy.

How does data scenario practically empower people's lives? The reporter saw that the company innovatively launched a space-based Beidou portable medical X-ray machine, which is about the size of a DSLR camera and weighs only 1.8 kilograms. People can take it with them wherever they go, just like a DSLR camera, and "take pictures of bones at hand".

  

"Despite its small size, it packs a punch and can activate the Beidou satellite system in the sky!" The project leader explained that this portable medical X-ray machine, along with the vast amounts of data it generates, will revolutionize the long-standing challenges in the field of medical imaging.

Based on Beidou high-precision positioning and X-ray imaging analysis technology, focusing on emergency rescue and pre-hospital emergency care scenarios, a cross-temporal data fusion and collaboration platform in the field of primary healthcare is established. Through Beidou technology, real-time positioning and dynamic tracking of patient vital signs data in mobile medical scenarios are achieved. Combined with intelligent analysis of X-ray images, a multimodal medical data chain will be formed, supporting multi-party joint modeling and remote diagnosis and treatment.

Reporters learned that portable medical X-ray machines are particularly suitable for use in emergency situations or in areas with weak medical resources. They can take X-ray films at any time and confirm the patient's injuries, avoiding the need to take films again when transferring to another hospital. This is safer and more reliable for doctors, rescue workers, and patients alike. When the X-ray machine is taking a film, information such as the X-ray film and its location can be uploaded to the system simultaneously, allowing authorized personnel to participate in diagnosis, remote consultation, and other activities.

It is worth mentioning that, as a scenario where public data is "in motion", the main data resources in this scenario at the current stage are all public data obtained through provincial-level public data authorization and operation platforms, including the National Health Information Platform, the Medical Imaging Cloud Platform, the Emergency Management and Emergency Command Information Database, and the Beidou High-precision Location Service Platform.

  

Currently, in the realm of remote consultation scenarios, the project has established a prototype of a data sharing platform based on blockchain technology, enabling secure transmission tests of imaging data among three pilot hospitals. Additionally, a consultation tool with multi-party collaborative annotation capabilities has been developed. Simultaneously, the intelligent treatment scenario is gradually becoming a reality. A framework for the treatment decision-making knowledge base has been constructed, the algorithm design for the treatment suggestion engine has been completed, and the treatment process tracking system is also under orderly development.

 

The scenario is not only targeted at the rapid response system of emergency medical rescue, enabling real-time linkage between injury images and incident locations, and providing key decision support for optimizing treatment plans, but the relevant data will also provide unprecedented multimodal data support for major disease research, health trend analysis, and public health policy formulation. Specifically, it can establish a disease screening and diagnosis system based on geo-epidemiological characteristics to enhance the identification ability of regional high-incidence diseases; and construct a dynamic visual disease distribution map to serve regional disease monitoring and early warning, optimize the allocation of prevention and control resources, and promote the digitalization and precision of public health governance.

With the in-depth application of scenarios, the related industrial ecosystem will also grow and expand in the future. Experts told reporters that the high-tech industrial cluster featuring "Beidou + medical imaging" is expected to form a new economic growth point. The upstream will stimulate the research, development, and manufacturing of mobile and portable high-end medical imaging equipment integrated with Beidou positioning modules; the midstream will give birth to emerging service formats such as mobile medical screening and remote imaging diagnosis based on precise location services; and the downstream will promote the formation of new industrial links such as medical spatiotemporal data governance, analysis services, and market-oriented operation of data elements, ultimately building a complete industrial ecosystem encompassing "hardware research and development - software services - data applications".