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A Context-Aware Remote Health Monitoring Service for Improved Patient Care

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Contemporary Consumer Health Informatics

Part of the book series: Healthcare Delivery in the Information Age ((Healthcare Delivery Inform. Age))

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Abstract

Health status monitoring is central to the new health-care paradigm that has the following characteristics: wellness promotion, patient-centered care, and anytime, anyplace health care. Internet of Things (IoT) paradigm and machine-to-machine (M2M) communication technologies can be harnessed to build an improved remote health monitoring system. Our contributions in this chapter are as follows: (1) We propose a set of requirements for a remote health monitoring system, and (2) based on the IoT concept and M2M technologies, we develop a functional prototype of a remote monitoring system. Our prototype monitors patient measurements and identifies alert conditions. This system was successfully implemented on ThingWorx, an IoT platform.

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Notes

  1. 1.

    The DICOM View and Alert View were created for testing and for identifying future functionality. Therefore, their details are not presented in this chapter.

References

  • Ahtinen, A., Huuskonen, P., & Häkkilä, J. (October 2010). Let’s all get up and walk to the North Pole: Design and evaluation of a mobile wellness application. Proceedings of the 6th Nordic conference on human-computer interaction: Extending boundaries (pp. 3–12). ACM.

    Google Scholar 

  • Andrew, A. H., Borriello, G., & Fogarty, J. (2013). Simplifying mobile phone food diaries: Design and evaluation of a food index-based nutrition diary. Proceedings of the 7th international conference on pervasive computing technologies for healthcare (pp. 260–263).

    Google Scholar 

  • Anwar, M., Hill, E., Skujins, J., Huynh, K., & Doss, C. (2013). Kalico: A smartphone application for health-smart menu selection within a budget. Smart health (pp. 113–121). Springer Berlin Heidelberg.

    Google Scholar 

  • Bloom, B. S. (2002). Crossing the quality chasm: A new health system for the 21st century. The Journal of the American Medical Association, 287(5), 646–647.

    Article  Google Scholar 

  • Brekke, K. R., Gravelle, H., Siciliani, L., & Straume, O. R. (2014). Patient choice, mobility and competition among health care providers. Health care provision and patient mobility (pp. 1–26). Milan: Springer.

    Google Scholar 

  • Coetzee, L., & Eksteen, J. (2011). The Internet of Things-promise for the future? An introduction. IEEE IST—Africa Conference Proceedings, 2011 (pp. 1–9).

    Google Scholar 

  • Daniel, F., Casati, F., Silveira, P., Verga, M., & Nalin, M. (2011). Beyond health tracking: A personal health and lifestyle platform. Internet Computing, IEEE, 15(4), 14–22.

    Article  Google Scholar 

  • Dey, A. K. (2000). Providing architectural support for building context-aware applications. (Doctoral dissertation, Georgia Institute of Technology).

    Google Scholar 

  • Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.

    Article  Google Scholar 

  • Hayward, R. (2014). Clinical decision support system. http://en.wikipedia.org/wiki/Clinical_decision_support_system. Accessed 1 Nov 2014.

  • Ho, Y., Tanaka, K., Ishiguro, S., Sato-Shimokawara, E., & Yamaguchi, T. (2012). Applying user model as the basis for daily exercise support application. IEEE conference on technologies and applications of artificial intelligence (TAAI), (pp. 250–255).

    Google Scholar 

  • Hu, F., Xie, D., & Shen, S. (August 2013). On the application of the Internet of Things in the field of medical and health care. IEEE international conference on and IEEE cyber, physical and social computing (pp. 2053–2058).

    Google Scholar 

  • Kim, J., Lee, J., Kim, J., & Yun, J. (2014). M2M service platforms: Survey, issues, and enabling technologies. Communications Surveys & Tutorials, IEEE, 16(1), 61–76.

    Article  Google Scholar 

  • Lopes, I. M., Silva, B. M., Rodrigues, J. J., Lloret, J., & Proenca, M. L. (2011). A mobile health monitoring solution for weight control. IEEE conference on wireless communications and signal processing (WCSP) (pp. 1–5).

    Google Scholar 

  • Miller, R., & Chung, P. (2013). ThingWorx fundamentals. ThingWorx, 2013.

    Google Scholar 

  • Na, H., & Choi, Y. (2013). Conceptual design of personal wellness record for mobile health monitoring. IEEE 2nd global conference on consumer electronics (GCCE) (pp. 410–411).

    Google Scholar 

  • Stevens, C. J., & Bryan, A. D. (2012). Rebranding exercise: There’s an app for that. American Journal of Health Promotion, 27(2), 69–70.

    Article  PubMed  Google Scholar 

  • ThingWorx. (2014). What is thingworx @ONLINE. http://www.thingworx.com/platform/key-features. Accessed 1 April 2014.

  • Tollmar, K., Bentley, F., & Viedma, C. (2012). Mobile health mashups: Making sense of multiple streams of wellbeing and contextual data for presentation on a mobile device. IEEE international conference on pervasive computing technologies for healthcare (PervasiveHealth) (pp. 65–72).

    Google Scholar 

  • Wu, G., Talwar, S., Johnsson, K., Himayat, N., & Johnson, K. D. (2011). M2M: From mobile to embedded internet. Communications Magazine, IEEE, 49(4), 36–43.

    Article  Google Scholar 

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Correspondence to Mohd Anwar .

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Doss, C., Anwar, M., Manjaro, N. (2016). A Context-Aware Remote Health Monitoring Service for Improved Patient Care. In: Wickramasinghe, N., Troshani, I., Tan, J. (eds) Contemporary Consumer Health Informatics. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-25973-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-25973-4_8

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