Cloud Storage in Medical Imaging

Cloud Storage in Medical Imaging

Cloud Storage

The transformation from analog to digital processing of information has had much impact on the medical field, especially in the imaging sector. There is a need for optimizing the workflow to obtain better outcomes, and thus cloud storage services are to be used in these settings. The cloud storage services are customized to fit the particular PACS and medical facility’s needs. According to Yang, Shih, Chen, Kuo, Jiang, and Leu, (2015), medical images can be stored in the cloud storage owing to multiple beneficial reasons.

Importance

Secure Storage

Cloud data storage systems are reliable since they are unreachable and cannot be accessed without authoritative critical logs. Other people encrypt the data stored in the cloud storage especially for the medical images to prevent any cases of hacking and unauthorized access.

Backup Information

The cloud storage systems are synchronized with local data from computers and thus are considered backup storage for this information. However, these cloud servers for the medical imaging have further functionalities designed to automatically back up the data in the cloud to ensure the loss of data is averted. In the event of malfunctioning of these cloud storage facilities, it is feasible to obtain the data stored on the backup services integrated.

Platform Scalability and Flexibility

The digital cloud storage services for medical imaging provides functionalities that ease the scalability and flexibility of medical processes. The cloud storage is readily available in any geographical location and thus, instead of using local databases for storing the medical images, employing the cloud would help in executing similar operations with these pictures in different geographical areas.

Easy Access

Accessibility of information from the cloud is easy following various services added to enhance the way the information can be retrieved and inserted in the cloud servers. Since information is within the servers, sharing within different people is relatively faster relative to the traditional approaches. The medical images can thus be easily uploaded, retrieved and shared for medical purposes within any geographical area.

Challenges for Cloud Storage with Medical Imaging

According to Kagadis, Kloukinas, Moore, Philbin, Papadimitroulas, Alexakos, and Hendee (2013), some problems are evident with the use of the cloud storage in medical imaging within hospitals. One of these difficulties is that the format for acquiring and uploading data sets may not be compatible to the media outputting this information. Another challenge is that since the information can be shared with many people, ethical concerns may arise regarding the privacy of patients. The medical images can be shared between different people and hence even the non-medical staff can receive the information thus endangering the private lives of patients. Moreover, maintaining the data viability is a concern since the same can be manipulated or affected in the event of a system failure, thereby raising the question of the viability of the information.

Conclusion

Cloud data storage is necessary for the medical setting regarding medical imaging. Data stored on these cloud servers is not only safe but can be easily shared and accessed from different contexts. In this regard, it would be better if the cloud storage servers are used by the hospitals in uploading their medical images. Therefore, cloud storage is extensively useful in medical settings.

References

Kagadis, G. C., Kloukinas, C., Moore, K., Philbin, J., Papadimitroulas, P., Alexakos, C, & Hendee, W. R. (2013). Cloud computing in medical imaging. Medical physics40(7). From https://pdfs.semanticscholar.org/07b1/4c6e4f1ba9c9b1e7a9205d16c8588e137453.pdf

Yang, C. T., Shih, W. C., Chen, L. T., Kuo, C. T., Jiang, F. C., & Leu, F. Y. (2015). Accessing medical image file with co-allocation HDFS in cloud. Future Generation Computer Systems43, 61-73. From https://www.researchgate.net/profile/Chao-Tung_Yang2/publication/268749024_Accessing_medical_image_file_with_co-allocation_HDFS_in_cloud/links/54a698bc0cf267bdb909d52f.pdf

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