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The Design of Personalized Artificial Intelligence Diagnosis and the Treatment of Health Management Systems Simulating the Role of General Practitioners

  • Shuqing ChenEmail author
  • Xitong Guo
  • Xiaofeng Ju
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10983)

Abstract

Artificial Intelligence (AI) has continuously been used as a method in the fields of medical and clinical research to improve patients’ health outcomes. However, the evidence of its effectiveness in self-health management through strengthening one’s subconscious mind to change his/her health behavior is not well supported. This paper will use a design science method to describe The Design of Personalized Artificial Intelligence Diagnosis and the Treatment of Health Management Systems Simulating the Role of General Practitioners (AIHMS) that assists in providing tailored interventions to enhance health related behavioral changes. Findings from AI healthcare studies have shown promising insights, particularly in improving self-management and some health outcomes. In fact, AIHMS has not only promoted the happiness of patients, but eased the relationship between doctors and patients, improved patient’s satisfaction and other benefits, with far-reaching theoretical and practical implications. Furthermore, AI technology service innovation will improve the wellbeing of patients.

Keywords

AI Design science Self-health management Behavior change Service innovation 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Management, eHealth Research InstituteHarbin Institute of TechnologyHarbinChina

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