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Construction of Dynamic Medical Information System for Digital Hospital Environments

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Abstract

The distribution of healthcare information via cloud-based hospital information systems has been increasing in recent years. Because these systems can disseminate sensitive healthcare information to various smart devices, their security approaches must be carefully studied. In addition, research is required to ensure that patients are being properly notified about changes in their medical treatments. Therefore, in this paper, we propose a dynamic medical information system for digital hospital environments. For this purpose, we design a system that can securely distribute existing digital hospital data, including medical images and patient record information. In order to classify the providing services, we divide them into two types—synchronization and security. We suggest a dynamic authentication method to access medical information. Moreover, the proposed system provides Digital Imaging and Communications in Medicine (DICOM) file synchronization between system environments. We confirm the usefulness of the application based on experimental results.

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References

  1. Li, J. W., Li, J., Liu, Z. L., & Jia, C. F. (2014). Enabling efficient and secure data sharing in cloud computing. Concurrency and Computation-Practice & Experience, 26(5), 1052–1066. doi:10.1002/Cpe.3067.

    Article  Google Scholar 

  2. Wei, G. Y., Lu, R. X., & Shao, J. (2014). EFADS: Efficient, flexible and anonymous data sharing protocol for cloud computing with proxy re-encryption. Journal of Computer and System Sciences, 80(8), 1549–1562. doi:10.1016/j.jcss.2014.04.021.

    Article  MathSciNet  MATH  Google Scholar 

  3. Lee, S.-H., & Lee, I.-Y. (2013). A secure index management scheme for providing data sharing in cloud storage. Journal of Information Processing Systems, 9(2), 287–300. doi:10.3745/JIPS.2013.9.2.287.

    Article  Google Scholar 

  4. Li-ming, W., Hui, W., & Hong, W. (2014). Hospital digital library based on cloud computing. In 2014 IEEE workshop on advanced research and technology in industry applications (WARTIA) (pp. 850–852). IEEE.

  5. Lee, H. J., Lee, K. H., Hwang, S. I., Kim, H. C., Seo, E. H., Kim, T. G., et al. (2010). The effect of wireless LAN-based PACS device for portable imaging modalities. Journal of Digital Imaging, 23(2), 185–191. doi:10.1007/s10278-008-9174-4.

    Article  Google Scholar 

  6. Ziegler, S. E. (2012). Development of a next-generation automated DICOM processing system in a PACS-less research environment. Journal of Digital Imaging, 25(5), 670–677. doi:10.1007/s10278-012-9482-6.

    Article  Google Scholar 

  7. Zghal, H. B., & Moreno, A. (2014). A system for information retrieval in a medical digital library based on modular ontologies and query reformulation. Multimedia Tools and Applications, 72(3), 2393–2412. doi:10.1007/s11042-013-1527-4.

    Article  Google Scholar 

  8. Chang, C. S., Chen, S. Y., & Lan, Y. T. (2012). Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice. BMC Medical Informatics and Decision Making,. doi:10.1186/1472-6947-12-135.

    Google Scholar 

  9. Griebel, L., Prokosch, H.-U., Köpcke, F., Toddenroth, D., Christoph, J., Leb, I., et al. (2015). A scoping review of cloud computing in healthcare. BMC Medical Informatics and Decision Making, 15(1), 17.

    Article  Google Scholar 

  10. Westberg, J., Krogh, S., Brink, C., & Vogelius, I. R. (2014). A DICOM based radiotherapy plan database for research collaboration and reporting. In Journal of Physics: Conference Series, 2014 (Vol. 489, No. 1, pp. 012100). IOP Publishing.

  11. Ma, W., & Sartipi, K. (2014). An agent-based infrastructure for secure medical imaging system integration. In 2014 IEEE 27th international symposium on computer-based medical systems (CBMS) (pp. 72–77). IEEE.

  12. Yang, C.-T., Chen, L.-T., Chou, W.-L., & Wang, K.-C. (2010). Implementation of a medical image file accessing system on cloud computing. In 2010 IEEE 13th international conference on computational science and engineering (CSE) (pp. 321–326). IEEE.

  13. Rashid, A., Kim, I., & Khan, O. (2015). Providing authorization interoperability using rule based HL7 RBAC for CDR (Clinical Data Repository) framework. In 2015 12th international Bhurban conference on applied sciences and technology (IBCAST) (pp. 343–348). IEEE.

  14. Schefer-Wenzl, S., & Strembeck, M. (2014). Model-driven specification and enforcement of RBAC break-glass policies for process-aware information systems. Information and Software Technology, 56(10), 1289–1308. doi:10.1016/j.infsof.2014.04.010.

    Article  Google Scholar 

  15. Park, C.-S. (2014). Security mechanism based on hospital authentication server for secure application of implantable medical devices. Biomed Research International. doi:10.1155/2014/543051.

  16. Le, X. H., Doll, T., Barbosu, M., Luque, A., & Wang, D. (2014). Evaluation of an Enhanced Role-Based Access Control model to manage information access in collaborative processes for a statewide clinical education program. Journal of Biomedical Informatics, 50, 184–195.

    Article  Google Scholar 

  17. Maw, H. A., Xiao, H., Christianson, B., & Malcolm, J. A. (2014). An evaluation of break-the-glass access control model for medical data in wireless sensor networks. In 2014 IEEE 16th international conference on e-health networking, applications and services (Healthcom) (pp. 130–135). IEEE.

  18. Kim, J., & Chung, K.-Y. (2014). Ontology-based healthcare context information model to implement ubiquitous environment. Multimedia Tools and Applications, 71(2), 873–888.

    Article  Google Scholar 

  19. Li, Y., Guo, L., Wu, C., Lee, C.-H., & Guo, Y. (2014). Building a cloud-based platform for personal health sensor data management. In 2014 IEEE-EMBS international conference on biomedical and health informatics (BHI) (pp. 223–226). IEEE.

  20. Pardamean, B., & Rumanda, R. R. (2011). Integrated model of cloud-based E-medical record for health care organizations. In 10th WSEAS international conference on e-activities, 2011 (pp. 157–162).

  21. Lupse, O. S., Vida, M. M., & Stoicu-Tivadar, L. (2012). Cloud computing and interoperability in healthcare information systems. In INTELLI 2012, The first international conference on intelligent systems and applications (pp. 81–85).

  22. You, I., Choi, J., Choi, C., & Kim, P. (2014). Intelligent healthcare service based on context inference using smart device. Soft Computing, 18(12), 2577–2586.

    Article  Google Scholar 

  23. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2014). Mobile healthcare applications: System design review, critical issues and challenges. Australasian Physical & Engineering Sciences in Medicine, 38(1), 23–38. doi:10.1007/s13246-014-0315-4.

    Article  Google Scholar 

  24. Jeong, C. W., Joo, S. C., Ryu, J. H., Lee, J., Kim, K. W., & Yoon, K. H. (2014). Development of a mini-mobile digital radiography system by using wireless smart devices. Journal of Digital Imaging, 27(4), 443–448. doi:10.1007/s10278-013-9659-7.

    Article  Google Scholar 

  25. Joo, S. C., Jeong, C. W., & Kim, K. H. (2013). A study of context-based adaptive service model in home environments. Telecommunication Systems, 52(4), 2375–2386. doi:10.1007/s11235-011-9550-0.

    Article  Google Scholar 

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Acknowledgments

This study was supported by a grant of the Korean Health Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (A120152), under the C-ITRC(Convergence Information Technology Research Center) support program (NIPA-2014-H0401-14-1022) supervised by the NIPA (National IT Industry Promotion Agency).

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Authors and Affiliations

  1. Imaging Science Based Lung and Bone Disease Research Center, Wonkwang University, 460 Iksandeaero, Iksan, Jeonbuk, 570-749, Republic of Korea

    Chang-Won Jeong

  2. Department of Computer Engineering, Wonkwang University, 460 Iksandeaero, Iksan, Jeonbuk, 570-749, Republic of Korea

    Sung Gwon Lee & Su Chong Joo

  3. Department of Biomedical Engineering, Wonkwang University School of Medicine, 460 Iksandeaero, Iksan, Jeonbuk, 570-749, Republic of Korea

    Jinseok Lee

  4. Wonkwang University School of Medicine and Hospital, Wonkwang University, 460 Iksandeaero, Iksan, Jeonbuk, 570-749, Republic of Korea

    Kwon-Ha Yoon

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  1. Chang-Won Jeong
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  2. Sung Gwon Lee
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  3. Jinseok Lee
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  4. Kwon-Ha Yoon
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Correspondence to Kwon-Ha Yoon or Su Chong Joo.

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Jeong, CW., Lee, S.G., Lee, J. et al. Construction of Dynamic Medical Information System for Digital Hospital Environments. Wireless Pers Commun 91, 1575–1590 (2016). https://doi.org/10.1007/s11277-015-3110-y

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  • DOI: https://doi.org/10.1007/s11277-015-3110-y

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