Medical imaging document sharing solutions for various kinds of healthcare services based on IHE XDS/XDS-I profiles

Zhang, Jianguo; Yang, Yuanyuan; Zhang, Kai; Sun, Jianyong; Ling, Tonghui; Wang, Tusheng; Wang, Mingqing; Bak, Peter

doi:10.1117/12.2042970

Cited by 3 publications

(3 citation statements)

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“…An interesting collection of topics presented included a remote volume rendering pipeline, 591 integration of medical images into a mobile device for bedside viewing, 592 and medical imaging document sharing using the IHE XDS profile. 593 Research data collections 594 and collaborative frameworks for data mining 595 were presented. Incorporating intelligence into structured radiology reports 596 was a paper of interest.…”

Section: S Pacs Conferencesmentioning

confidence: 99%

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Andriole

2022

J. Med. Imag.

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Section: S Pacs Conferencesmentioning

confidence: 99%

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Andriole

2022

J. Med. Imag.

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“…The developed system has been implemented and operated in 5 districts of Shanghai city for regional collaborative imaging diagnostic services [17][18] …”

Section: Grid-based Ihe Xds-i Image Sharing Solution For Collaborativmentioning

confidence: 99%

Big data issues in medical imaging informatics

Zhang

2015

SPIE Proceedings

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The issues of big data in medical imaging informatics have special characters which need to be deal with in healthcare service and research. These characters lead to many technical challenges in medical imaging informatics. The data set sizes and hiding states of medical imaging are major factors which make big data of medical imaging be quite different from other kind of big data. The possible and perspective solutions of big data issues in medical imaging informatics are discussed in this presentation, and also some of our research projects related to five V features of big data in medical imaging and informatics have been briefed

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“…In the past few years, we studied implementation methods of the XDS-I profile and gave some preliminary results. 7 In this paper, we systemically present our full study about image sharing and exchange solutions for three image sharing scenarios, based on the IHE XDS-I profile, and also evaluate these solutions to determine whether the IHE XDS-I profile can serve as a foundation for medical image-sharing solutions across different regional health-care providers. These three scenarios include: (a) long-term health-care management across multiple hospitals and clinics; (b) patient-controlled image exchange between health-care providers and image data endusers; (c) telecollaboration for image diagnosis across multiple regional hospitals.…”

Section: Introductionmentioning

confidence: 99%

Implementation methods of medical image sharing for collaborative health care based on IHE XDS-I profile

Zhang

Yang

et al. 2015

J. Med. Imag

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Abstract. IHE XDS-I profile proposes an architecture model for cross-enterprise medical image sharing, but there are only a few clinical implementations reported. Here, we investigate three pilot studies based on the IHE XDS-I profile to see whether we can use this architecture as a foundation for image sharing solutions in a variety of health-care settings. The first pilot study was image sharing for cross-enterprise health care with federated integration, which was implemented in Huadong Hospital and Shanghai Sixth People's Hospital within the Shanghai Shen-Kang Hospital Management Center; the second pilot study was XDS-I-based patient-controlled image sharing solution, which was implemented by the Radiological Society of North America (RSNA) team in the USA; and the third pilot study was collaborative imaging diagnosis with electronic health-care record integration in regional health care, which was implemented in two districts in Shanghai. In order to support these pilot studies, we designed and developed new image access methods, components, and data models such as RAD-69/WADO hybrid image retrieval, RSNA clearinghouse, and extension of metadata definitions in both the submission set and the cross-enterprise document sharing (XDS) registry. We identified several key issues that impact the implementation of XDS-I in practical applications, and conclude that the IHE XDS-I profile is a theoretically good architecture and a useful foundation for medical image sharing solutions across multiple regional health-care providers.

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Medical imaging document sharing solutions for various kinds of healthcare services based on IHE XDS/XDS-I profiles

Cited by 3 publications

References 1 publication

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Big data issues in medical imaging informatics

Implementation methods of medical image sharing for collaborative health care based on IHE XDS-I profile

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