Paper
16 March 2006 IHE cross-enterprise document sharing for imaging: design challenges
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Abstract
Integrating the Healthcare Enterprise (IHE) has recently published a new integration profile for sharing documents between multiple enterprises. The Cross-Enterprise Document Sharing Integration Profile (XDS) lays the basic framework for deploying regional and national Electronic Health Record (EHR). This profile proposes an architecture based on a central Registry that holds metadata information describing published Documents residing in one or multiple Documents Repositories. As medical images constitute important information of the patient health record, it is logical to extend the XDS Integration Profile to include images. However, including images in the EHR presents many challenges. The complete image set is very large; it is useful for radiologists and other specialists such as surgeons and orthopedists. The imaging report, on the other hand, is widely needed and its broad accessibility is vital for achieving optimal patient care. Moreover, a subset of relevant images may also be of wide interest along with the report. Therefore, IHE recently published a new integration profile for sharing images and imaging reports between multiple enterprises. This new profile, the Cross-Enterprise Document Sharing for Imaging (XDS-I), is based on the XDS architecture. The XDS-I integration solution that is published as part of the IHE Technical Framework is the result of an extensive investigation effort of several design solutions. This paper presents and discusses the design challenges and the rationales behind the design decisions of the IHE XDS-I Integration Profile, for a better understanding and appreciation of the final published solution.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rita Noumeir "IHE cross-enterprise document sharing for imaging: design challenges", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61450Q (16 March 2006); https://doi.org/10.1117/12.653433
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Cited by 5 scholarly publications.
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KEYWORDS
Medicine

Document imaging

Radiology

Medical imaging

Image retrieval

Data modeling

Information technology

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