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An Efficient m-Healthcare Service Model using RFID Technique

RFID 기술을 이용한 효율적인 m-헬스케어 서비스 모델

  • Jeong, Yoon-Su (Dept. of Information and Communication Convergence engineering, Mokwon University) ;
  • Kim, Yong-Tae (Dept. of Multimedia Engineering, Hannam, University) ;
  • Park, Gil-Cheol (Dept. of Multimedia Engineering, Hannam, University)
  • 정윤수 (목원대학교 정보통신융합공학부) ;
  • 김용태 (한남대학교 멀티미디어학부) ;
  • 박길철 (한남대학교 멀티미디어학부)
  • Received : 2015.09.04
  • Accepted : 2015.11.20
  • Published : 2015.11.28

Abstract

Due to a change of food culture, many patients suffering from various diseases such as hypertension, heart disease, stroke, cancer. However, it takes a long time in the hospital for many patients due to the administration before the patient care process. In this paper, we propose a m-Healthcare service model that patients can receive medical services without the inconvenience offers by reducing the administrative hospital treatment that can automatically recognize through the hospital installed RFID readers when the patient patients with various diseases are foreign to the hospital. In particular, the proposed model improves the operational efficiency of the existing healthcare system by shortening the treatment time for medical personnel to help patients in emergency situations can determine automatically the patient's status does not give the disease type and condition of the patient to health care personnel. Test results, service latency, efficiency, etc. patient satisfaction, and evaluate the existing health care system model results, the proposed method was improved service delay existing techniques average 16.5% efficiency was higher 27% of patients service satisfaction was improved by 22.4% on average.

식생활의 변화로 인하여 고혈압, 심장병, 뇌출혈, 암 질환 등 다양한 질환을 앓고 있는 환자들이 점점 증가하고 있다. 그러나, 병원에서는 환자 치료에 앞서 환자들이 의료 서비스를 제공받기 위해서는 많은 병원 행정 업무를 처리해야 한다. 본 논문에서는 다양한 질환을 앓고 있는 환자 중 체내삽입장치를 부착한 환자를 대상으로 체내삽입장치에 RFID 칩을 이식하여 환자가 병원에 외래왔을 경우 RFID 리더를 통해 환자를 자동인식하여 병원 행정업무 처리를 간소화함으로써 환자가 불편없이 의료 서비스를 제공받을 수 있는 m-헬스케어 서비스 모델을 제안한다. 특히, 제안 모델은 응급상황의 환자가 환자의 질병 종류 및 상태를 의료 담당자에게 알려주지 않아도 자동으로 환자의 상태 정보를 확인할 수 있도록 의료담당자의 진료시간을 단축함으로써 기존 의료 시스템의 업무 효율성을 향상시킨다. 실험결과, 서비스 지연시간, 업무 효율성, 환자의 의료 서비스 만족도 등에서 기존 의료 시스템과 비교 평가한 결과, 제안 모델은 기존 모델보다 서비스 지연시간은 평균 16.5% 향상되었고, 업무 효율성은 27% 높았으며, 환자의 서비스 만족도는 평균 22.4% 향상되었다.

Keywords

References

  1. H. Demirkan, "A Smart Healthcare Systems Framework", IEEE Journals & Managines IT Professional, vol. 5, no. 5, pp. 38-45, 2013.
  2. D. J. Berndt, J. W. Fisher, A. R. Hevner, J. Studnicki, "Healthcare data warehousing and quality assurance ", IEEE Journals & Managines Computer, vol. 34, no. 12, pp. 56-65, 2001.
  3. x. Shen, "Emerging technologies for e-healthcare". IEEE Journals & Managines Network, vol. 26, no. 5, pp. 2-3, 2012. https://doi.org/10.1109/MNET.2012.6375885
  4. N. Agoulmine, P. Ray, T. -H. Wu, "Efficient and cost-effective communications in ubiquitous healthcare: wireless sensors, devices and solutions", IEEE Communications Managinze, vol. 50, no. 5, pp. 90-91, 2012.
  5. Y. W. Kim, K. H. Park, S. H. Yi, H. C. Kim"A Big Data Framework for u-Healthcare Systems Utilizing Vital Signs", 2014 International Symposium on Computer, Consumer and Control (IS3C), pp. 494-497, Jun. 2014.
  6. J. Song, M. Chung, "An Approach to Realization and Security Provision of Intelligent U-Healthcare Service", ICHIT '06. International Conference on Hybrid Information Technology, 2006. vol. 1, pp. 462-467, Nov. 2006.
  7. S. J. Son, K. W. L. D. H. Won, S. J. Kim, "U-healthcare system protecting privacy based on cloaker", 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), pp. 417-423, Dec. 2010.
  8. S. J. Oh, C. W. Lee, "u-Healthcare SensorGrid Gateway for connecting Wireless Sensor Network and Grid Network", ICACT 2008. 10th International Conference on Advanced Communication Technology, 2008. vol. 1, pp. 827-831, Feb. 2008.
  9. J. K. Ryu, J. H. Kim, K. Y. Chung, K. W. Rim, J. H. Lee, "Ontology Based Context Information Model for u-Healthcare Service", 2011 International Conference on Information Science and Applications (ICISA), pp. 1-6, Apri. 2011.
  10. S. Ohnishi, T. Yamanoi, H. Imai, "A fuzzy representation for non-additive weights of AHP", 2011 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 672-675. Jun. 2011.
  11. F. Kong, H. Y. Liu, "Analysis of and Improvement on Ranking Method for Fuzzy AHP", 2006. WCICA 2006. The Sixth World Congress on Intelligent Control and Automation, vol. 1, pp. 249-2502, Jun. 2006.
  12. X. Wu, Y. Fu, J. Wang, "Information systems security risk assessment on improved fuzzy AHP", ISECS International Colloquium on Computing, Communication, Control, and Management, 2009. CCCM 2009, pp. 365-369, Aug. 2009.
  13. H. Zhang, A. Bouras, Y. Ouzrout, A. Sekhari, "Fuzzy multi-criteria lifecycle system maturity decision making based on an integrated Fuzzy AHP and VIKOR methodology", 2014 International Conference on Computational Science and Technology (ICCST), pp. 1-6, Aug. 2014.
  14. X. Tang, S. Fang, "A fuzzy AHP approach for service vendor selection under uncertainty", 2011 International Conference on Business Management and Electronic Information (BMEI), vol. 5, pp. 274-277, May. 2011.
  15. J. J. Zheng, X. Han, "Study on the Selection of Venture Capitalists Based on Fuzzy AHP", 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII), vol. 2, no. 570-273, Nov. 2010.