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How to Become a Smart Patient in the Era of Precision Medicine?

  • Yalan Chen
  • Lan Yang
  • Hai Hu
  • Jiajia Chen
  • Bairong ShenEmail author
Chapter
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 1028)

Abstract

The objective of this paper is to define the definition of smart patients, summarize the existing foundation, and explore the approaches and system participation model of how to become a smart patient. Here a thorough review of the literature was conducted to make theory derivation processes of the smart patient; “data, information, knowledge, and wisdom (DIKW) framework” was performed to construct the model of how smart patients participate in the medical process. The smart patient can take an active role and fully participate in their own health management; DIKW system model provides a theoretical framework and practical model of smart patients; patient education is the key to the realization of smart patients. The conclusion is that the smart patient is attainable and he or she is not merely a patient but more importantly a captain and global manager of one’s own health management, a partner of medical practitioner, and also a supervisor of medical behavior. Smart patients can actively participate in their healthcare and assume higher levels of responsibility for their own health and wellness which can facilitate the development of precision medicine and its widespread practice.

Keywords

Smart patients Precision medicine Healthcare 

Notes

Acknowledgments

This study was supported by the National Natural Science Foundation of China (NSFC) (grant nos. 31670851, 31470821, and 91530320) and National Key R&D programs of China (2016YFC1306605).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Yalan Chen
    • 1
    • 2
  • Lan Yang
    • 1
  • Hai Hu
    • 1
  • Jiajia Chen
    • 3
  • Bairong Shen
    • 4
    Email author
  1. 1.Center for Systems BiologySoochow UniversitySuzhouChina
  2. 2.Department of Medical Informatics, School of MedicineNantong UniversityNantongChina
  3. 3.School of Chemistry, Biology and Material EngineeringSuzhou University of Science and TechnologySuzhouChina
  4. 4.Center for Systems BiologySoochow UniversitySuzhouChina

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