Enterprise imaging and multi-departmental PACS

Bergh, Björn

doi:10.1007/s00330-006-0352-9

Cited by 18 publications

(8 citation statements)

References 62 publications

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“…Similar suggestions for multi-departmental PACS have been given in the literature (Bergh 2006;Crowe and Hailey 2002;Brennecke et al 1992). The implementation of a web-based multi-agent architecture proves that the introduction of common healthcare standard is beneficial to the exchange of health records among multiple patient repositories (Choe and Yoo 2008).…”

mentioning

confidence: 76%

“…The cardiovascular case demonstrates a successful webbased visualization of heterogeneous data, achieving the critical success factors for system integration mentioned in (Bergh 2006) with the use of open standards and OSS. With the system interoperability retained by the open standards, the integration compartment can also acts as a multidisciplinary multi-media archive (Chan et al 2008), which will be readily shared with clinics in other specialties, yet facilitating multidisciplinary studies.…”

Section: Discussionmentioning

confidence: 97%

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Automating object-oriented integration and visualization of multidisciplinary biomedical data in radiology workflow: Compartmental PACS model

2009

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This paper is aimed to present a novel compartmental PACS model for the automatic object-oriented integration and visualization of heterogeneous data for the multidisciplinary biomedical studies in the midst of the imaging services in radiology department. The generic PACS is conceptually partitioned into two compartments: service and integration. The service compartment supports the routine imaging service by connecting the imaging modalities to the web client workstations through a single fault-tolerant hardware. The integration compartment is synthesized by open source and open standard software tools to perform the long-term archiving of imaging cases and to integrate the images with the related data from other clinical disciplines. The prototype of the compartmental PACS model has been successfully implemented in the Department of Health Technology and Informatics (HTI) at the Hong Kong Polytechnic University (PolyU). Multidisciplinary study on a cardiovascular case is considered as an example in this paper to demonstrate the seamless integration and web-based visualization of heterogeneous data from radiology, ophthalmology, cardiology and hematology. The implementation of the compartmental PACS model demonstrates a deliberative system design for allocating mission-critical components at the clinical frontline of imaging services and long-term archiving components at the backend. The integrative feature of object-oriented long-term archive addresses the comprehensive needs of patient-centered multidisciplinary biomedical studies.

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mentioning

confidence: 76%

Section: Discussionmentioning

confidence: 97%

Automating object-oriented integration and visualization of multidisciplinary biomedical data in radiology workflow: Compartmental PACS model

2009

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“…Regardless of how the images are acquired and stored and indexed, whether using DICOM storage services or some other mechanism, reliable metadata must be obtained. The wide variety of patterns of workflow and image acquisition methods for different equipment and specialties requires different combinations of transactions in an enterprise imaging environment [ 10 ].…”

Section: Standards File Formats Protocols and Profilesmentioning

confidence: 99%

Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper

Clunie¹,

Dennison²,

Cram

et al. 2016

J Digit Imaging

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This white paper explores the technical challenges and solutions for acquiring (capturing) and managing enterprise images, particularly those involving visible light applications. The types of acquisition devices used for various general-purpose photography and specialized applications including dermatology, endoscopy, and anatomic pathology are reviewed. The formats and standards used, and the associated metadata requirements and communication protocols for transfer and workflow are considered. Particular emphasis is placed on the importance of metadata capture in both order- and encounter-based workflow. The benefits of using DICOM to provide a standard means of recording and accessing both metadata and image and video data are considered, as is the role of IHE and FHIR.

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“…However, current imaging informatics at the enterprise level has shifted toward the development of new multimedia and communication tools geared toward the needs of other users such as pathologists, surgeons, cardiologists, and even patients themselves. [34] The universal format for PACS image storage and transfer is Digital Imaging and Communications in Medicine (DICOM). Recent initiatives have helped create a DICOM imaging standard so that pathology images too can be incorporated into PACS.…”

Section: Introductionmentioning

confidence: 99%

Integration of digital gross pathology images for enterprise-wide access

Amin

Sharma

Parwani

et al. 2012

Journal of Pathology Informatics

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Background:Sharing digital pathology images for enterprise- wide use into a picture archiving and communication system (PACS) is not yet widely adopted. We share our solution and 3-year experience of transmitting such images to an enterprise image server (EIS).Methods:Gross pathology images acquired by prosectors were integrated with clinical cases into the laboratory information system's image management module, and stored in JPEG2000 format on a networked image server. Automated daily searches for cases with gross images were used to compile an ASCII text file that was forwarded to a separate institutional Enterprise Digital Imaging and Communications in Medicine (DICOM) Wrapper (EDW) server. Concurrently, an HL7-based image order for these cases was generated, containing the locations of images and patient data, and forwarded to the EDW, which combined data in these locations to generate images with patient data, as required by DICOM standards. The image and data were then “wrapped” according to DICOM standards, transferred to the PACS servers, and made accessible on an institution-wide basis.Results:In total, 26,966 gross images from 9,733 cases were transmitted over the 3-year period from the laboratory information system to the EIS. The average process time for cases with successful automatic uploads (n=9,688) to the EIS was 98 seconds. Only 45 cases (0.5%) failed requiring manual intervention. Uploaded images were immediately available to institution- wide PACS users. Since inception, user feedback has been positive.Conclusions:Enterprise- wide PACS- based sharing of pathology images is feasible, provides useful services to clinical staff, and utilizes existing information system and telecommunications infrastructure. PACS-shared pathology images, however, require a “DICOM wrapper” for multisystem compatibility.

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Enterprise imaging and multi-departmental PACS

Cited by 18 publications

References 62 publications

Automating object-oriented integration and visualization of multidisciplinary biomedical data in radiology workflow: Compartmental PACS model

Automating object-oriented integration and visualization of multidisciplinary biomedical data in radiology workflow: Compartmental PACS model

Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper

Integration of digital gross pathology images for enterprise-wide access

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