Abstract:
PURPOSE:Sharing of medical data is crucial for the proper treatment of patients as it could reduce the risk of duplicated medical tests and speed up the care process if all documents are readily available. Despite great technical progress, sharing patient data while maintaining full control over the process in an intersectoral (in Germany, this describes the different actors in the healthcare system consisting of clinic, ambulatory care, etc.) setting remains a particular challenge. This paper focuses on the successful implementation of a privacy compliant, standards-based image-management component of a personal electronic health record. METHODS:Over a 5-year period, a sharing system based on readily available IHE profiles constructed around XDS has been built. It was necessary to create interfaces for the existing hospital sub-systems to become part of the network. Specifically, the imaging workflow had to be adapted to allow for fast and easy access to DICOM images utilizing a flexible web-based image viewer. In addition to the standard XDS workflow, an Imaging Cache was established which combines the Imaging Document Source and Consumer to guarantee fast and streaming-based access to all images in the network observing the high security standards of the hospital network. RESULTS:The authors of this paper have proven that it is possible to build a fast and reliable sharing system based on IHE profiles using most of the transactions of XDS-I with some adaptions to the clinical workflow. Primary hospital systems were enabled by building adapters to overcome lack of IHE compatibility. The established system embraces the existing security mechanisms in hospital networks while connecting patients and referring physicians from outside in a secure and convenient manner. CONCLUSIONS:A state-of-the-art sharing system that is used in a productive clinical environment has been established and is ready to grow with more partners. The system is the basis for an elaborated interdisciplinary collaboration where data, and in particular images, can now be shared between medical professionals.
journal_name
Int J Comput Assist Radiol Surgauthors
Schwind F,Münch H,Schröter A,Brandner R,Kutscha U,Brandner A,Heinze O,Bergh B,Engelmann Udoi
10.1007/s11548-018-1819-2subject
Has Abstractpub_date
2018-11-01 00:00:00pages
1727-1739issue
11eissn
1861-6410issn
1861-6429pii
10.1007/s11548-018-1819-2journal_volume
13pub_type
杂志文章abstract:PURPOSE:In this paper, we investigate a framework for interactive brain tumor segmentation which, at its core, treats the problem of interactive brain tumor segmentation as a machine learning problem. METHODS:This method has an advantage over typical machine learning methods for this task where generalization is made ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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更新日期:2016-05-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章,评审
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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doi:10.1007/s11548-016-1409-0
更新日期:2016-06-01 00:00:00
abstract::Prostate cancer (PCa) is the most frequent noncutaneous cancer in men. Early detection of PCa is essential for clinical decision making, and reducing metastasis and mortality rates. The current approach for PCa diagnosis is histopathologic analysis of core biopsies taken under transrectal ultrasound guidance (TRUS-gui...
journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2016-12-01 00:00:00
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更新日期:2019-04-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2019-05-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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