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Patient-Centered Intelligent Healthcare

  • School of Biomedical Engineering, Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The era from disease-centered to patient-centered has arrived. Traditional medical management and services primarily focus on disease diagnosis and treatment. In contrast, patient-centered medical models emphasize prevention and health management. These models adopt a life-cycle approach to healthcare, aiming to help patients better manage their health and reduce both the occurrence and recurrence of diseases. Intelligent healthcare, powered by new technologies such as artificial intelligence (AI), enables intelligent and specialized medical management, enhancing patient care and making treatment more humane. This approach aligns seamlessly with the principles of human-centered AI (HCAI). This chapter explores the concept of patient-centered intelligent healthcare. It examines the development of HCAI technology in the medical field. The discussion also covers the role of human–computer interaction in patient-centered intelligent healthcare management and services. It also addressed key issues surrounding the integration of HCAI technology with personalized diagnosis and treatment processes across various clinical scenarios. Finally, the chapter looks forward to the future research directions for advancing patient-centered intelligent healthcare.

Original languageEnglish
Title of host publicationHuman-Centered AI
Subtitle of host publicationAdvancing Research and Applications in Human-AI Interaction
PublisherSpringer Science+Business Media
Pages849-885
Number of pages37
ISBN (Electronic)9789819555857
ISBN (Print)9789819555840
DOIs
StatePublished - 1 Jan 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Artificial intelligence
  • Electronic health records
  • Ethical challenges
  • Human–computer interaction
  • Information silos
  • Intelligent healthcare
  • Medical robots
  • Multi-center research
  • Natural language processing
  • Patient-centered

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