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http://dx.doi.org/10.15207/JKCS.2018.9.6.001

Design of data integration model between hospitals for healthcare information collection  

Jeong, Yoon-Su (Dept. of information Communication & Convergence Engineering, Mokwon University)
Han, Kun-Hee (Dept. of Information Communication & Engineering, Mokwon University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.6, 2018 , pp. 1-7 More about this Journal
Abstract
As IT technology develops recently, medical equipment used in hospitals is demanding high performance. However, since the user visits different hospitals depending on the user's situation, the medical information treated at the hospital is distributed among the hospitals. In this paper, we propose a model to efficiently integrate the health care information of the users stored in the hospital in order to collect the healthcare information of the users who visited the different hospitals. The proposed model synchronizes users' healthcare information collected from personal wearable devices to collect user - centered healthcare information. In addition, the proposed model performs integrity and validity check related to user's healthcare information in a database existing in a cloud environment in order to smoothly share data with the healthcare service center. In particular, the proposed model enables tree - based data processing to smoothly manage healthcare information collected from mobile platforms.
Keywords
Healthcare; Data integration; Hospitals; Cloud services; Mobile platforms; Hospital management;
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Times Cited By KSCI : 9  (Citation Analysis)
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1 W. P. Lee, J. Y. Huang, H. H. Chang, K. T. Lee & C. T. Lai. (2017). Predicting Drug Side Effects Using Data Analytics and the Integration of Multiple Data Sources. IEEE Access, 5, 20449-20462.   DOI
2 Y. S. Jeong. (2016). A Study of An Efficient Clustering Processing Scheme of Patient Disease Information for Cloud Computing Environment. Journal of Convergence for Information Technology, 6(1), 33-38.   DOI
3 I. Y. Jung, S. G. Kim, D. Y. Lee & Y. H. Lee. (2016). Science and Technology Policy Institute. Emerging Healthcare Innovations Driven by Data and Its Policy Implications.
4 F. D. Davis. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 13, 319-340.   DOI
5 Y. S. Jeong. (2015). An Efficiency Management Scheme using Big Data of Healthcare Patients using Puzzy AHP. Journal of Digital Convergence, 13(4), 227-233.   DOI
6 Y. S. Jeong. (2016). An Efficient IoT Healthcare Service Management Model of Location Tracking Sensor. Journal of Digital Convergence, 14(3), 261-267.   DOI
7 F. Khennou, Y. Idrissi Khamlichi & N. E. H. Chaoui. (2016). Designing a health data management system based hadoop-agent. Proceedings of the 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), 71-76
8 Y. S. Jeong, Y. T. Kim & G. C. Park. (2017). A hierarchical property-based multi-level approach method for improves user access control in a cloud environment. Journal of the Korea Convergence Society, 8(11), 7-13.   DOI
9 F. A. Rahim, Z. Ismail & G. N. Samy. (2017). Healthcare employees' perception on information privacy concerns. Proceedings of the 2017 International Conference on Research and Innovation in Information Systems (ICRIIS), 1-6.
10 Y. S. Jeong. (2017). User Authentication Key Establishment Scheme based on Color Model for Healthcare Environment. Journal of the Korea Convergence Society, 8(3), 115-121.   DOI
11 Y. S. Jeong, Y. T. Kim & G. C. Park. (2017). A Design of Service Improvement Model for Emergency Medical System using Augmented Reality. Journal of Convergence for Information Technology, 7(1), 17-24.   DOI
12 A. Cenci, D. Liciotti, I. Ercoli, P. Zingaretti & V. P. Carnielli. (2016). A cloud-based healthcare infrastructure for medical device integration: The bilirubinometer case study. Proceedings of the 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), 1-6.
13 N. Singh, A. Jangra, I. Elamvazuthi & K. Kashyap. (2017). Healthcare Data Privacy Measures to Cure & Care Cloud Uncertainties, Proceedings of the 4th IEEE International Conference on Signal Processing, Computing and Control(ISPCC 2017), 402-407.
14 Y. S. Jeong. (2017). Data Storage and Security Model for Mobile Healthcare Service based on IoT. Journal of Digital Convergence, 15(3), 187-193.   DOI
15 Y. S. Jeong. (2017). Subnet Generation Scheme based on Deep Learing for Healthcare Information Gathering. Journal of Digital Convergence, 15(3), 221-228.   DOI
16 S. Lavanya, G. Lavanya & J. Divyabharathi. (2017). Remote prescription and I-Home healthcare based on IoT. Proceedings of the 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), 1-3.
17 K. H. Han & Y. S. Jeong. (2017). Efficient Authentication Establishment Scheme between IoT Device based on Pascal Triangle Theory. Journal of the Korea Convergence Society, 8(7), 15-21.   DOI
18 A. Bahga & V. K. Madisetti. (2013). A Cloud-based Approach for Interoperable Electronic Health Records (EHRs). IEEE Journal of Biomedical and Health Informatics, 17(5), 894-906.   DOI
19 M. Panda, S. M. Ali & S. K. Panda. (2017). Big data in health care: A mobile based solution. Proceedings of the 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), 149-152.
20 Y. S. Jeong, Y. H. Yon & J. H. Ku. (2017). Hash-chain-based IoT authentication scheme suitable for small and medium enterprises. Journal of Convergence for Information Technology, 7(4), 105-111.   DOI
21 D. Moner, J. A. Maldonado, D. Bosca, J. T. Fernadez, C. Angulo, P. Crespo, P. J. Vivancos & M. Robles. (2006). Archetype-Based Semantic Integration and Standardization of Clinical Data. Proceedings of the 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 5141-5144.