Skip to main content

Advertisement

Log in

Mobile healthcare application with EMR interoperability for diabetes patients

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

With digitalization of medical information and rapid distribution of smart devices, currently, healthcare service is actively planned and developed based on smart devices. By 2015, 500 million smartphone users are expected to use a mobile health application, especially for exercise, diet, and chronic disease management. Unlike other chronic diseases, diabetes can be managed by the patient. Therefore smart mobile device can be a universal tool for self-diabetes management because of its high penetration and functions. A mobile healthcare application for Android OS was developed to provide self-diabetes management. The application consists of Diabetes management, Weight management, Cardio-cerebrovascular risk evaluation, Stress and depression evaluation and Exercise management. The application synchronizes data with hospital’s EMR database to provide accurate data with minimized process of data input. This paper introduces detailed structure and functionalities of the application with EMR data synchronization aspect.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Ministry for Health, Welfare and Family Affairs; Korea Centers for Disease Control and Prevention, The Fourth Korea National Health and Nutrition Examination Survey (KNHANES V-1) 2010, pp. 57–58. Korea Centers for Disease Control and Prevention, Seoul (2010)

    Google Scholar 

  2. International Diabetes Federation: The Diabetes Atlas, 5th edn. International Diabetes Federation, Brussels (2011)

    Google Scholar 

  3. Piette, J.D.: Interactive behavior change technology to support diabetes self-management: where do we stand? Diabetes Care 30(10), 2425–2432 (2007)

    Article  MathSciNet  Google Scholar 

  4. Taridzo, C., Fernandez-Luque, L., Arsand, E., Hartvigsen, G.: Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J. Med. Internet Res. 22, 1–16 (2011)

    Google Scholar 

  5. Wakia, K., Fujitaa, H., Uchimuraa, Y., Aramakia, E., Omaeb, K., Kadowakia, T., Ohea, K.: DialBetics: smartphone-based self-management for type 2 diabetes patients. J. Diabetes Sci. Technol. 6(4), 983–985 (2012)

    Article  Google Scholar 

  6. Medical Device: Mobile Health (mHealth) Technology, Revolution of Medical Service and Management. GilKorea, 2012.05

  7. Lee, I.: Business promotion and development direction of the ICT industry for the mobile health market. Korea Institute of Industrial Technology (2011)

  8. Research2guidance: http://www.research2guidance.com

  9. KT Advanced Institute of Technology: A research and study report on healthcare mobile apps (2012)

  10. Endomondo: http://www.endomondo.com

  11. Kim, S.H., Chung, K.Y.: Medical information service system based on human 3D anatomical model. Multimed. Tools Appl. (2013). doi:10.1007/s11042-013-1584-8

    Google Scholar 

  12. Ko, J.W., Chung, K.Y., Han, J.S.: Model transformation verification using similarity and graph comparison algorithm. Multimed. Tools Appl. (2013). doi:10.1007/s11042-013-1581-y

    Google Scholar 

  13. Han, J.S., Chung, K.Y., Kim, G.J.: Policy on literature content based on software as service. Multimed. Tools Appl. (2013). doi:10.1007/s11042-013-1664-9

    Google Scholar 

  14. Oh, S.Y., Chung, K.Y.: Target speech feature extraction using non-parametric correlation coefficient. Clust. Comput. (2013). doi:10.1007/s10586-013-0284-5

    Google Scholar 

  15. Kim, G.H., Kim, Y.G., Chung, K.Y.: Towards virtualized and automated software performance test architecture. Multimed. Tools Appl. (2013). doi:10.1007/s11042-013-1536-3

    Google Scholar 

  16. Kim, J.H., Chung, K.Y.: Ontology-based healthcare context information model to implement ubiquitous environment. Multimed. Tools Appl. (2013). doi:10.1007/s11042-011-0919-6

    Google Scholar 

  17. Kim, J.H., Lee, D., Chung, K.Y.: Item recommendation based on context-aware model for personalized u-healthcare service. Multimed. Tools Appl. (2013). doi:10.1007/s11042-011-0920-0

    Google Scholar 

  18. Kang, S.K., Chung, K.Y., Lee, J.H.: Development of head detection and tracking systems for visual surveillance. Pers. Ubiquitous Comput. (2013). doi:10.1007/s00779-013-0668-9

    Google Scholar 

  19. Baek, S.J., Han, J.S., Chung, K.Y.: Dynamic reconfiguration based on goal-scenario by adaptation strategy. Wirel. Pers. Commun. (2013). doi:10.1007/s11277-013-1239-0

    Google Scholar 

Download references

Acknowledgement

This research was supported by MSIP (the Ministry of Science, ICT and Future Planning), Korea, under the IT-CRSP (IT Convergence Research Support Program) (NIPA-2013-H0401-13-1001) supervised by the NIPA (National IT Industry Promotion Agency). This work was supported by the Industrial Strategic technology development program, 10037283, funded By the Ministry of Trade, industry & Energy (MI, Korea).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dong Kyun Park.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jung, EY., Kim, J., Chung, KY. et al. Mobile healthcare application with EMR interoperability for diabetes patients. Cluster Comput 17, 871–880 (2014). https://doi.org/10.1007/s10586-013-0315-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-013-0315-2

Keywords

Navigation