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The design of personalized artificial intelligence diagnosis and the treatment of health management systems simulating the role of general practitioners

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSmart Health - International Conference, ICSH 2018, Proceedings
EditorsHsinchun Chen, Daniel Zeng, Qing Fang, Jiang Wu
PublisherSpringer Verlag
Pages26-40
Number of pages15
ISBN (Print)9783030036485
DOIs
StatePublished - 2018
Externally publishedYes
EventInternational Conference on Smart Health, ICSH 2018 - Wuhan, China
Duration: 1 Jul 20183 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10983 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Smart Health, ICSH 2018
Country/TerritoryChina
CityWuhan
Period1/07/183/07/18

Keywords

  • AI
  • Behavior change
  • Design science
  • Self-health management
  • Service innovation

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