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http://dx.doi.org/10.14400/JDC.2020.18.6.373

The medical 3-dimensional image exchange via health level 7 fast healthcare interoperability resource (HL7 FHIR)  

Lee, Jung Hwan (Pusan National University Hospital)
Choi, Byung Kwan (Department of Neurosurgery, School of Medicine, Pusan National University)
Han, In Ho (Department of Neurosurgery, School of Medicine, Pusan National University)
Publication Information
Journal of Digital Convergence / v.18, no.6, 2020 , pp. 373-378 More about this Journal
Abstract
For improving interoperability of medical information, health level 7 has initiated the development of a next-generation framework for the exchange of medical information called the Fast health interoperability resources (FHIR). However, there was no attempt to exchange the medical three-dimensional (3D) image with clinical data via FHIR. Thus, we designed a new method. The 3D image to be made from computed tomography was converted to the javascript object notation (JSON) file format, and clinical data was added. We made a test FHIR server, and the client used the postman. The JSON file was attached to the body, and was then transmitted. The transmitted 3D image could be seen through a web browser, and attached clinical data was identified in the source code. This is the first attempt to exchange the medical 3D image. Additional researches will be needed to develop applications or FHIR resources that apply this method.
Keywords
Health level seven; three-dimensional image; informatics; health information exchange; medical image;
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1 R. Saripalle, C. Runyan, M. Russell. (2019). Using HL7 FHIR to achieve interoperability in patient health record. Journal of Biomedical Informatics, 94, 103188. https://doi.org/10.1016/j.jbi.2019.103188   DOI
2 C. Chroaki, F. Ploeg. (2016). Towards mhealth assessment guidelines for interoperability: HL7 FHIR. Studies in Health Technology and Informatics, 224, 164-169. https://doi.org/10.3233/978-1-61499-653-8-164
3 M. Khalilia, M. Choi, A. Henderson, S. Iyengar, M. Braustein, J. Sun. (2015, November). Clinical predictive modeling development and deployment through FHIR web services. American Medical Informatics Association Annual Symposium Process 2015, pp. 717-726. San Francisco : Curran Associates, Inc.
4 HL7 (2019). Resource index. HL7 FHIR Release 4. http:s//www.hl7.org/fhir/resourcelist.html
5 K. J. Mortele, J. McTavish, P. R. Ros. (2002). Current techniques of computed tomography. helical CT, multidetector CT, and 3d reconstruction. Clinical Liver Disease, 6(1), 29-52. https://doi.org/10.1016/s1089-3261(03)00065-5   DOI
6 C. Prieto et al. (2009). Image retake analysis in digital radiography using DICOM header information. Journal of Digital Imaging, 22(4), 393-399. https://doi.org/10.1007/s10278-008-9135-y   DOI
7 E. K. Park et al. (2016). Cranioplasty enhanced by three-dimensional printing: custom-made three-dimensional-printed titanium implants for skull defects. Journal of Craniofacial Surgery, 27(4), 943-949 https://doi.org/10.1097/SCS.0000000000002656   DOI
8 J. H. Lee, I. H. Han, B. K. Choi, K. H. Nam, D. H. Kim, C. S. Lee. (2017). Virtual preoperative simulation for excision of spinal tumors: surgeon processing of medical computer-assisted design software. Korean Journal of Spine, 14(4), 170-174 https://doi.org/10.14245/kjs.2017.14.4.170   DOI
9 M. Jonathan, A. Feridun, H. Bronwyn, B. Kim. (2008). Preoperative visualization of neurovascular anatomy in trigeminal neuralgia. Journal of Neurosurgery, 108(3), 477-482 https://doi.org/10.3171/JNS/2008/108/3/0477   DOI
10 P. S. Kim, C. H. Choi, I. H. Han, J. H. Lee, H. J. Choi, J. I. Lee. (2019). Obtaining informed consent using patient specific 3d printing cerebral aneurysm model. Journal of Korean Neurosurgical Society, 62(4), 398-404 https://doi.org/10.3340/jkns.2019.0092   DOI
11 K. C. Wong, S. M. Kumta, N. V. Geel, J. Demol. (2015). One-step reconstruction with a 3d-printed, biomechanically evaluated custom implant after complex pelvic tumor resection. Computer Aided Surgery, 20(1), 14-23 https://doi.org/10.3109/10929088.2015.1076039   DOI
12 M. V. Anderson, I. H. Kristensen, M. M. Larsen, C. H. Pederson, K. R. Goeg, L. B. Pape-Haugaard. (2017. May). Feasibility of representing a danish microbiology model using FHIR. Studies in Health Technology and Informatics, 235, 13-17. https://doi.org/10.3233/978-1-61499-753-5-13
13 B. J. Kim, K. S. Hong, K. J. Park, D. H. Park, Y. G. Chung, S. H. Kang. (2012). Customized cranioplasty implants using three-dimensional printers and polymethyl-methacrylate casting. Journal of Korean Neurosurgical Society, 52(6), 541-546 https://doi.org/10.3340/jkns.2012.52.6.541   DOI
14 J. H. Lee, J. H. Lee, W. Ryu, B. K. Choi, I. H. Han, C. M. Lee. (2019). Computer-based clinical coding activity analysis for neurosurgical terms. Yeungnam University Journal of Medicine, 36(3), 225-230. https://doi.org/10.12701/yujm.2019.00220   DOI
15 D. Yoon, B. C. Chang, S. W. Kang, H. Bae, R. W. Park. (2012). Adoption of electronic health records in Korean tertiary teaching and general hospitals. International Journal of Medical Informatics, 81(3), 196-203. https://doi.org/10.1016/j.ijmedinf.2011.12.002   DOI