Enterprise Imaging: The Next Frontier in Healthcare Technology–A Liturature Review
DOI:
https://doi.org/10.17140/ROJ-3-119Keywords:
Enterprise imaging, PACS, Vendor neutral archives, Image storage, DICOM, Cloud PACSAbstract
A review of the literature was performed to evaluate, review and discuss the imaging systems of picture archiving and communication
system (PACS), vendor neutral archive (VNAs) and enterprise imaging.
Method
A search through the databases of PubMed, OvidMedline, Scopus and Embase was performed utilizing several keywords relevant
to image storage in various combinations of “OR” and “AND”. Articles were carefully assessed according to inclusion and exclusion
criteria where only articles published in the last 10 years were obtained to collect recent information. Additionally, articles
found from the reference sections of electronically sourced articles were also reviewed.
Results
The review revealed that traditional PACS suffer from several limitations of data storage, migration and maintenance. VNAs improve
upon this situation by allowing images from different departments to be shared easily and extend this ability to in between
organizations. Physical copies of images are no longer needed and applications such as teleradiology and mobile imaging are possible.
Enterprise imaging attempts to provide a format that allows for organizations to govern the management of image sharing
and storage between institutions using a set of 7 characteristics that define an efficient system.
Conclusion
Image storage technology has experienced several advancements in recent years. Traditional PACS imaging has allowed for image
capture, viewing, storage and analysis but is unable to perform effective image sharing across institutions. VNAs have provided a
system to surpass this limitation by normalizing proprietary digital imaging and communications in medicine (DICOM) formats
used by PACS vendors. With the advent of new technology, enterprise imaging has been developed as a system that enables the
management of multi-departmental and multi-institutional image sharing in one system.
References
Macyszyn L, Lega B, Bohman LE, et al. Implementation of a departmental picture archiving and communication system: A pro-ductivity and cost analysis. Neurosurgery. 2013; 73: 528-533. doi: 10.1227/01.neu.0000431474.49042.5b
Horii SC. Avoiding pitfalls in adding to a PACS or changing PACS vendors. Applied Radiology. 2008; 37: 20-21.
Maluf M, Rajendran J. Storing radiology images in the reform era what CFOs need to know: New technology systems help hos-pitals cut costs as they prepare for rapid growth in radiology imag-ing. Healthcare Financial Management. 2012; 66: 78.
Pianykh OS. Digital Image Quality in Medicine. New York, USA: Springer. 2013.
Costa C, Oliveira JL, Silva A, Ribeiro VG, Ribeiro J. Design, de-velopment, exploitation and assessment of a cardiology web PACS. Systematic Review | Volume 3 | Issue 1| Liao A et al Comput Methods Programs Biomed. 2009; 93: 273-282. doi: 10.1016/j. cmpb.2008.10.015
Faggioni L, Neri E, Castellana C, Caramella D, Bartolozzi C. The future of PACS in healthcare enterprises. Eur J Radiol. 2011; 78: 253-258. doi: 10.1016/j.ejrad.2010.06.043
Valente F, Silva LAB, Godinho TM, Costa C. Anatomy of an extensible open source PACS. J Digit Imaging. 2016; 29: 284-296. doi: 10.1007/s10278-015-9834-0
Strickland NH. Risks of picture archiving and com-munication systems. Clinical Risk. 2013; 19: 120-128. doi: 10.1177/1356262213519981
Aryanto K, van de Wetering R, Broekema A, van Ooijen P, Oud-kerk M. Impact of cross-enterprise data sharing on portable media with decentralised upload of DICOM data into PACS. Insights into Imaging. 2014; 5: 157-164. doi: 10.1007/s13244-013-0296-y
Al-Hajeri M, Clarke M. Future trends in picture archiving and communication system (PACS). Conf Proc IEEE Eng Med Biol Soc. 2015; 2015: 6844-6847. doi: 10.1109/EMBC.2015.7319965
Philbin J, Prior F, Nagy P. Will the next generation of PACS be sitting on a cloud? J Digit Imaging. 2011; 24: 179-183. doi: 10.1007/ s10278-010-9331-4
Bolan C. Roadmap to cloud-based PACS. Applied Radiology. 2012; 41: 22.
Bolan C. Cloud PACS and mobile apps reinvent radiology workflow. Applied Radiology. 2013; 42: 24.
Koch P. Benefits of cloud computing for PACS and archiving. Radiol Manage. 2012; 34: 16-19.
Silva L, Costa C, Oliveira J. A PACS archive architecture sup-ported on cloud services. Int J Comput Assist Radiol Surg. 2012; 7: 349-358. doi: 10.1007/s11548-011-0625-x
Silva L, Costa C, Oliveira J. DICOM relay over the cloud. Int J Comput Assist Radiol Surg. 2013; 8: 323-333. doi: 10.1007/s11548- 012-0785-3
Parikh A, Mehta N. PACS: Next generation. Progress in bio-medical optics and imaging-proceedings of SPIE. 2015; 9418: doi: 10.1117/12.2081987
Parikh A, Mehta N. PACS on mobile devices. Progress in Bio-medical Optics and Imaging-Proceedings of SPIE. 2015; 9418: doi: 10.1117/12.2081557
Hostetter J, Khanna N, Mandell JC. Integration of a zero-footprint cloud-based picture archiving and communication sys-tem with customizable forms for radiology research and education. Acad Radiol. 2018; 25: 811-818. doi: 10.1016/j.acra.2018.01.031
Langer S, Persons K, Erickson B, Blezek D. Towards a more cloud-friendly medical imaging applications architecture: A modest proposal. J Digit Imaging. 2013; 26: 58-64. doi: 10.1007/s10278-012- 9545-8
Pan W, Coatrieux G, Bouslimi D, Prigent N. Secure public cloud platform for medical images sharing. Stud Health Technol In-form. 2015; 210: 251-255. doi: 10.3233/978-1-61499-512-8-251
Godinho TM, Costa C, Oliveira JL. Generating big data reposi-tories for research in medical imaging. Iberian Conference on Informa-tion Systems and Technologies. 2016.
Agarwal T, Sanjeev. Vendor neutral archive in PACS. Indian J Radiol Imaging. 2012; 22: 242-245. doi: 10.4103/0971-3026.111468
Bialecki B, Park J, Tilkin M. Using object storage technology vs vendor neutral archives for an image data repository infrastructure. J Digit Imaging. 2016; 29: 460-465. doi: 10.1007/s10278-016-9867-z
Branz K. Transitioning to a vendor-neutral image archive: Utah’s intermountain healthcare creates an enterprise-wide archive designed to manage data from all PACS. Health Management Technol-ogy. 2013; 34: 16.
Hagland M. Strategic radiology systems implementation. Chal-lenges and benefits of moving to a vendor-neutral archive. Healthc Inform. 2013; 30: 48.
Karthiyayini M, Thavavel V, Selvam NS. “Cloud based vendor neutral archive: Reduces imaging rates and enhances patient care.” Paper Presente at: 2015 International Conference on Advanced Computing and Communication Systems; January 5-7, 2015; Co-imbatore, India. doi: 10.1109/ICACCS.2015.7324080
Margolis D, Westphalen A, Haider M. Why we need a vendor neutral specification for delineating prostate cancer with mpMRI. Abdom Radiol (NY). 2016; 41: 801-802. doi: 10.1007/s00261-016- 0746-3
Shrestha RB. Enterprise vendor neutral archive: Guide to riding the bandwagon. Applied Radiology. 2013; 42: 13.
Roth CJ, Lannum L, Persons K. A foundation for enterprise imaging: HIMSS-SIIM collaborative white paper. J Digit Imaging. Submit your article to this journal | https://openventio.org/submit-manuscript/ 2016; 29: 530-538. doi: 10.1007/s10278-016-9882-0
Petersilge C. The evolution of enterprise imaging and the role of the radiologist in the new world. Am J Roentgenol. 2017; 209: 845- 848. doi: 10.2214/AJR.17.17949
Roth CJ, Lannum LM, Joseph CL. Enterprise imaging gov-ernance: HIMSS-SIIM collaborative white paper. J Digit Imaging. 2016; 29: 539-546. doi: 10.1007/s10278-016-9883-z
Roth CJ, Lannum LM, Dennison DK, Towbin AJ. The current state and path forward for enterprise image viewing: HIMSS-SIIM collaborative white paper. J Digit Imaging. 2016; 29: 567-573. doi: 10.1007/s10278-016-9887-8
Cram D, Roth CJ, Towbin AJ. Orders-versus encounters-based image capture: Implications pre- and post-procedure workflow, technical and build capabilities, resulting, analytics and revenue capture: HIMSS-SIIM collaborative white paper. J Digit Imaging. 2016; 29: 559-566. doi: 10.1007/s10278-016-9888-7
Bian J, Topaloglu U, Lane C. EIR: Enterprise imaging reposi-tory, an alternative imaging archiving and communication system. Conf Proc IEEE Eng Med Biol Soc. 2009; 2009: 2168-2171. doi: 10.1109/IEMBS.2009.5332428
Erdal BS, Prevedello LM, Qian S, et al. Radiology and enter-prise medical imaging extensions (REMIX). J Digit Imaging. 2018; 31: 91-106. doi: 10.1007/s10278-017-0010-6
Clunie DA, Dennison DK, Cram D, Persons KR, Bronk-alla MD, Primo HR. Technical challenges of enterprise imaging: HIMSS-SIIM collaborative white paper. J Digit Imaging. 2016; 29: 583-614. doi: 10.1007/s10278-016-9899-4
Towbin AJ, Roth CJ, Bronkalla M, Cram D. Workflow challeng-es of enterprise imaging: HIMSS-SIIM collaborative white paper. J Digit Imaging. 2016; 29: 574-582. doi: 10.1007/s10278-016-9897-6
West S. Need versus cost: understanding EHR data migration options. J Med Pract Manage. 2013; 29: 181-183.
Dinov I. Methodological challenges and analytic opportunities for modeling and interpreting big healthcare data. GigaScience. 2016; 5: 12. doi: 10.1186/s13742-016-0117-6
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