The era of medical big data has arrived, and the correct analysis of these data will significantly improve patient services, improve medical quality, and reduce medical costs. Recently, HDS held a media communication meeting in the medical industry in Beijing. At the meeting, HDS focused on sharing the challenges that big data brings to the healthcare industry and how HDS can help the healthcare industry meet this challenge.
Medical big data is divided, managed, and used in three steps
With the continuous deepening of hospital informationization, hospital systems are more and more, and the data volume is increasing by geometric multiples, including structured electronic medical record data and unstructured image data, especially PACS data. From the perspective of HDS, Yu Xiguo, technical director of HDS China regional market, believes that deposit, management and use are the challenges that big data in the medical industry has always faced. When it comes to saving, we emphasize more about performance, such as the call of the medical imaging PACS (Picture Archiving and Communication System), how to meet the needs of clinicians faster is critical. When the amount of data reaches a certain level, the "pipe" becomes very tricky. When the amount of data is from dozens of T to hundreds of T or even to the PB level, "pipe" becomes very important. Yu Xiguo believes that reliability is very important for "pipe".
When the amount of data is large enough, it is often difficult to implement data backup through traditional backup methods. Such a large amount of data is not backed up and is not secure. In response to this situation, HDS launched the HCP content data archiving platform, which does not require traditional backup technology, but can achieve a complete set of solutions for backup effects. Yu Xiguo introduced this solution to the long-term preservation of PACS historical data for the unique object-oriented backup-free architecture. Unstructured and structured data can be integrated into a single dynamic archive architecture, effectively eliminating redundant data after archiving. Meet customers' needs for storage, protection and management of long-term data.
"If you can't scientifically plan the data storage and archiving infrastructure early, the hospital's data will be like a dislocated wild horse, which is unmanageable. For hospitals and CIOs, it will undoubtedly be a data disaster with unpredictable consequences." Director of the Information Department of the top three hospitals predicted. "Data storage and management are all prepared for better use," Yu Xiguo stressed, HCP technology has laid a solid foundation for the "use" of big data.
HCP has been applied in many medical institutions and hospitals such as Wuxi Medical Management Center in mainland China. When referring to the construction of medical big data in Wuxi Hospital Management Center, Yu Xiguo introduced that HDS has established a regional service platform for Wuxi Medical Management Center with a complete end-to-end solution, and realized medical image data of eight public hospitals at the municipal level. Centralized management, archive storage, and unified applications. From the four aspects of mobility, unity, massive data, and tiered storage, it meets the stringent requirements for storing, managing, protecting and searching various types of data in medical research and teaching. At the same time, it will lay a solid foundation for the future construction of medical big data in Wuxi.
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