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Peer-reviewedCC BYFrontiers in Digital Health

Digitalized “preventive treatment” in chronic disease control and proactive health: a perspective on integrating TCM wisdom with digital intelligence

  1. 1Quzhou Hospital of Traditional Chinese Medicine, Quzhou, China
  2. 2School of Medicine, Quzhou College of Technology, Quzhou, China

Abstract

This Perspective proposes a testable conceptual framework for digitalized preventive treatment that integrates multidimensional data collection, dual-engine analysis, precision health profiling, and personalized intervention. Rather than representing a clinically validated system, the framework organizes existing component-level evidence and defines a pathway for future evaluation of feasibility, effectiveness, safety, equity, implementation, and cost-effectiveness.

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BibTeX
@article{xu2026digitalized,
  title = {{Digitalized “preventive treatment” in chronic disease control and proactive health: a perspective on integrating TCM wisdom with digital intelligence}},
  author = {Hui Xu and Binyu Luo and Fenfen Hu and Jian Gu and Guilin Shen and Jinchai Xu and Fang Fang and Huiping Qiu},
  journal = {Frontiers in Digital Health},
  year = {2026},
  month = oct,
  doi = {10.3389/fdgth.2026.1883420},
  url = {https://doi.org/10.3389/fdgth.2026.1883420},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Digitalized “preventive treatment” in chronic disease control and proactive health: a perspective on integrating TCM wisdom with digital intelligence
AU  - Hui Xu
AU  - Binyu Luo
AU  - Fenfen Hu
AU  - Jian Gu
AU  - Guilin Shen
AU  - Jinchai Xu
AU  - Fang Fang
AU  - Huiping Qiu
PY  - 2026
DA  - 2026/10/23
JO  - Frontiers in Digital Health
DO  - 10.3389/fdgth.2026.1883420
UR  - https://doi.org/10.3389/fdgth.2026.1883420
AB  - This Perspective proposes a testable conceptual framework for digitalized preventive treatment that integrates multidimensional data collection, dual-engine analysis, precision health profiling, and personalized intervention. Rather than representing a clinically validated system, the framework organizes existing component-level evidence and defines a pathway for future evaluation of feasibility, effectiveness, safety, equity, implementation, and cost-effectiveness.
SN  - 2673-253X
ER  -