Skip to main content

Technologies and Practices: Mobile Healthcare Based on Medical Image Cloud and Big Data (in China)

  • Chapter
  • First Online:
Handbook of Large-Scale Distributed Computing in Smart Healthcare

Part of the book series: Scalable Computing and Communications ((SCC))

  • 2115 Accesses

Abstract

Modern information technologies such as mobile computing, cloud computing and big data have brought new possibilities for modern healthcare services. In developing countries such as China where the vast majority of healthcare has been delivered in hospitals, mobile healthcare is of great significance to provide easy and quality care for everyone in and out of hospitals. In response to China’s national strategy “Healthy China 2030”, a nationwide hierarchical medical system needs to be established in due course. Featuring ubiquitous access with quality guarantee and consistent user experience on different terminals anytime anywhere, mobile healthcare has been regarded as one of the most important means to support the grand mission of hierarchical medical system. In the process of implementing mobile healthcare, all types of medical data (e.g. patient information, medical records, medical images, health check data, etc.) are to be shared across hospitals boarders. From the computing perspective, mobile medical imaging is regarded as the most challenging issue as medical image processing is the most network and computation resource consuming. Based on systematic requirement analysis, this chapter presents an innovative mobile medical image cloud system. The system enables seamless integration of multiple types of medical data especially medical image data from different vendors globally, and forms the basis for Big Data analysis for smarter healthcare in the future. A real-world case study of cloud teleconsultation using medical image cloud and big data technologies is also presented to prove its technical feasibility and replicability in practice in China.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Antonie, M. L., Zaïane, O. R., & Coman, A. (2001). Application of Data Mining Techniques for Medical Image Classification. International Workshop on Multimedia Data Mining, Mdm/kdd’2001, August, 2001, San Francisco, CA, USA.

    Google Scholar 

  2. Breant, C. M., Taira, R. K., Tashima, G. H., & Huang, H. K. (1992). Issues and solutions for interfacing a PACS database with an RIS. Medical Imaging VI (pp. 255–263). International Society for Optics and Photonics.

    Google Scholar 

  3. Chen, F. X., Mao, Y., & Wang, J. H. (2012). Two-way referral of patients with infectious diseases between community health care organizations and specialized hospitals in beijing. Chinese General Practice, 15, 775–777.

    Google Scholar 

  4. Cox, R. D., Henri, C. J., Rubin, R. K., & Bret, P. M. (1998). DICOM-compliant PACS with CD-based image archival. Medical Imaging. International Society for Optics and Photonics.

    Google Scholar 

  5. Dilsizian, S. E., & Siegel, E. L. (2014). Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Current Cardiology Reports, 16(1), 1–8.

    Google Scholar 

  6. Fang, P. Q., Zou, X. X., & Sun, Y. (2014). Key points of the hierarchical medical system research in china. Chinese Hospital Management.

    Google Scholar 

  7. Garlan, D., Monroe, R. T., & Wile, D. (2000). Acme: architectural description of component-based systems. Cambridge University Press.

    Google Scholar 

  8. Gilmour, Campbell, Loane, Esmail, Griffiths, & Roland, et al. (1998). Comparison of teleconsultations and face-to-face consultations: preliminary results of a United Kingdom multicentre teledermatology study. British Journal of Dermatology, 139(1), 81–7.

    Google Scholar 

  9. Hany, T. F., Steinert, H. C., Goerres, G. W., Buck, A., & von Schulthess, G. K. (2002). Pet diagnostic accuracy: improvement with in-line pet-ct system: initial results. Radiology, 225(2), 575–81.

    Google Scholar 

  10. Hays, R. (2001). Rural initiatives at the James cook university school of medicine: a vertically integrated regional/rural/remote medical education provider. Australian Journal of Rural Health, 9 suppl 1(9 Suppl 1), 2–5.

    Google Scholar 

  11. Istepanian, R., Laxminarayan, S., & Pattichis, C. S. (2006). M-health: emerging mobile health systems. 237–246.

    Google Scholar 

  12. Karlsson, G., Hedman, K., & Fridlund, B. (2011). Views on patient safety by operations managers in somatic hospital care: a qualitative analysis. Open Journal of Nursing, 01(33), 5125–5131.

    Google Scholar 

  13. Kong, X., Feng, M., & Wang, R. (2015). The current status and challenges of establishment and utilization of medical big data in china. European Geriatric Medicine, 6(6), 515–517.

    Google Scholar 

  14. Levine, B. A., Cleary, K. R., Norton, G. S., Cramer, T. J., & Mun, S. K. (1997). Challenges encountered while implementing a multivendor teleradiology network using DICOM 3.0. Medical Imaging (pp. 237–246). International Society for Optics and Photonics.

    Google Scholar 

  15. Liu, J., & Dai, R. (2013). The inquiry into telecom enterprises’ cloud computing strategy: A case study of China telecom. IEEE International Conference on Digital Ecosystems and Technologies. IEEE.

    Google Scholar 

  16. Mahoney, C. D., Berard-Collins, C. M., Coleman, R., Amaral, J. F., & Cotter, C. M. (2007). Effects of an integrated clinical information system on medication safety in a multi-hospital setting. American journal of health-system pharmacy: AJHP: official journal of the American Society of Health-System Pharmacists, 64(18), 209–215.

    Google Scholar 

  17. Martinez, A. W., Phillips, S. T., Carrilho, E., Sindi, H., & Whitesides, G. M. (2008). Simple telemedicine for developing regions: camera phones and paper-based microfluidic devices for real-time, off-site diagnosis. Analytical Chemistry, 80(10), 3699–707.

    Google Scholar 

  18. Mates, J., Branstetter, B. F., Morgan, M. B., Lionetti, D. M., & Chang, P. J. (2007). ‘wet reads’ in the age of pacs: technical and workflow considerations for a preliminary report system. Journal of Digital Imaging, 20(3), 296–306.

    Google Scholar 

  19. Mauro, A. D., Greco, M., & Grimaldi, M. (2016). A formal definition of big data based on its essential features. Library Review, 65(3), 122–135.

    Google Scholar 

  20. Mell, P. M., & Grance, T. (2011). SP 800–145. The NIST Definition of Cloud Computing. National Institute of Standards & Technology.

    Google Scholar 

  21. MIIT Report on the Quality of Telecommunications Services (No. 1 of 2016), Ministry of Industry and Information Technology of China, Retrieved 1 October 2016, from http://www.miit.gov.cn/.

  22. Neame, R. L. (2014). Privacy protection for personal health information and shared care records. Journal of Innovations in Health Informatics, 21(2), 84–91.

    Google Scholar 

  23. Pasha, M. F., Supramaniam, S., Liang, K. K., Amran, M. A., Chandra, B. A., & Rajeswari, M. (2012). An android-based mobile medical image viewer and collaborative annotation: development issues and challenges. International Journal of Digital Content Technology & Its Applications, 6(1).

    Google Scholar 

  24. Peck, D. (2010). Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide. Biomedical Image Processing. Springer Berlin Heidelberg.

    Google Scholar 

  25. Robinson, M., & Cottrell, D. (2005). Health professionals in multi-disciplinary and multi-agency teams: changing professional practice. Journal of Interprofessional Care, 19(6), 547–60.

    Google Scholar 

  26. Rodríguez, N. J., Borges, J. A., Crespo, G., Pérez, C., Martinez, C., & Colónrivera, C. R., et al. (2009). Users Can Do Better with PDAs Than Paper: A Usability Study of PDA-Based vs. Paper-Based Nursing Documentation Systems. Universal Access in Human-Computer Interaction. Applications and Services, International Conference, Uahci 2009, Held As (Vol. 5616, pp. 395–403).

    Google Scholar 

  27. WeChat – Free messaging and calling app, Retrieved 1 October 2016, from https://www.wechat.com/en/.

  28. Yizhen.cn, Retrieved 1 October 2016, from http://www.yizhen.cn.

  29. Zhang, J., Hsu, W., & Lee, M. L. (2003). An Information-driven Framework for Image Mining. Database and Expert Systems Applications. Springer Berlin Heidelberg.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weihong Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Hu, J., Huang, W., Huang, Y. (2017). Technologies and Practices: Mobile Healthcare Based on Medical Image Cloud and Big Data (in China). In: Khan, S., Zomaya, A., Abbas, A. (eds) Handbook of Large-Scale Distributed Computing in Smart Healthcare. Scalable Computing and Communications. Springer, Cham. https://doi.org/10.1007/978-3-319-58280-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-58280-1_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58279-5

  • Online ISBN: 978-3-319-58280-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics