Evidence map›Paper›PMID 40861518›Full record

ReviewHealth care science2025

Harnessing Digital Health Technologies to Combat Climate Change-Related Health Impacts.

Yuhang Li, Ge Wu, Puxi Gong, Chang Liu, Lizhong Liang, Mengchun Gong, Zhirong Zeng

Abstract readReview
In one paragraph

Review in Health care science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Digital paradigm of public health.Frontiers in public health · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yuhang LiCollege of Foreign languages Huazhong Agricultural University Wuhan China.ORCID https://orcid.org/0009-0003-4888-3965
Ge WuSchool of Biomedical Engineering Guangdong Medical University Zhanjiang China.ORCID https://orcid.org/0000-0002-8971-1911
Puxi GongSchool of Biomedical Engineering Guangdong Medical University Zhanjiang China.
Chang LiuACCESS Health(Shanghai)Consulting Co. Ltd. Shanghai China.
Lizhong LiangSchool of Ocean and Tropical Medicine Guangdong Medical University Zhanjiang China.
Mengchun GongSchool of Biomedical Engineering Guangdong Medical University Zhanjiang China.ORCID https://orcid.org/0000-0001-8197-6643
Zhirong ZengClinical Translational Medicine Center, The Affiliated Dongguan Songshan Lake Central Hospital Guangdong Medical University Dongguan China.ORCID https://orcid.org/0009-0000-4709-4700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change poses a significant threat to global health. It exacerbates existing health challenges and generates new ones. Therefore, innovative solutions to mitigate and adapt to its adverse effects are urgently required. This article explores the potential of digital health technologies to address the challenge posed by climate change-related health issues. It discusses their dual functionality of diminishing the carbon footprint of healthcare services and increasing understanding and governance of climate-sensitive diseases. Notably, with advanced technologies such as Generative medical AI (GMAI) presenting environmental concerns like substantial energy consumption during data processing and the generation of electronic waste, it is essential to underscore the significance of their responsible development and implementation of these technologies. This will ensure that the benefits of digital health technologies can be maximized while minimizing their ecological drawbacks. This study, therefore propose, a framework for leveraging digital health technologies to support climate change adaptation, including disease surveillance, telemedicine, patient support systems, and public awareness campaigns.

Indexed as

climate changedigital health technologieshealthcare innovationhealth impactsustainable development

Identifiers

PMID40861518
PMCPMC12371720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.