Many people have had experience in filming in the hospital. After the inspection, we usually take a bag of film to go home. But how many people actually understand the content of film? Due to the limited amount of information on the film, it is also unable to support professional operations. Therefore, if it is a patient with severe illness, even if the film is saved, it will often not be used when going to another hospital. There are two solutions:
1. Re-examine at the new hospital;
2. Obtain a video data disc from the hospital where the initial inspection was performed.
But no matter which method is chosen, it is very cumbersome and troublesome, even due to the lack of historical information, misdiagnosis and missed diagnosis.
With the development of cloud services technology, a "medical" SaaS service for medical imaging came into being.
The services provided by the medical community can be understood as follows: the transmission of image data between different hospitals, different doctors, and doctors and patients becomes as simple as instant messaging without sacrificing professionalism.
Insufficient PACS
At present, the main system used by the hospital in the imaging department is called PACS. The main function is to store various medical images taken during the examination and call them when needed.
Many hospitals are now building IaaS services for image storage. However, if the service is to be extended, the connection to the application layer (SaaS) is the key to bringing hospitals and patients to the hospital. Value added for services.
At the same time, people also have misunderstandings about the hospital's PACS. They think that the IT system of the big hospital is more stable, but it is not. Ma Guofeng, CEO of the medical center, said that in fact, the hospital's PACS is unstable and the efficiency is not satisfactory. The larger the hospital, the more information is processed, and the more obvious the problem is. According to Ma Guofeng's introduction, there are mainly the following problems:
1. Inputs and outputs are disproportionate. The traditional PACS architecture has high hardware investment, high operation and maintenance cost, and realizes exponential growth in data intercommunication cost input of multi-point and cross-institution;
2. No data mining capabilities. The PACS system is mainly responsible for data storage and transmission, and cannot support data mining. The value of historical data has not been effectively utilized;
3. Data transmission speed is limited. At present, the data processing method of the pacs system used by the hospital leads to the data transfer and retrieval speed and stability are not ideal even in the 10 Gigabit LAN bandwidth environment;
4. Cross-institutional sharing difficulties. Faced with the increasingly demanding cross-institutional collaboration requirements such as grading medical treatment, the PACS system originally designed for in-house business cannot effectively support information sharing in multiple hospitals under the poor domestic network environment. “The medical staff is not a PACS system. The main purpose is not to apply it in the in-house business process, but to provide a low-cost, high-stability solution for sharing image data. This is something that traditional PACS cannot support at all.â€
solution
Medical images have the characteristics of large amount of data, broken files, and poor compatibility. Therefore, in order to improve the efficiency of file transfer, it is necessary to carry out technical innovations in multiple dimensions such as structured processing, storage and calculation of image files.
At present, most image SaaS products can only access the lossy images such as jpg and png after transcoding, and can only access key frames. Such operations are naturally insufficient to meet the diagnostic requirements. The medical system's lossless compression codec technology for image files can save 2/3 to 3/4 of the storage space on average, while the distributed architecture processing of data can completely reduce the pressure on the server, so that it can also Improve transmission efficiency.
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