Evidence map›Paper›PMID 40750663›Full record

ReviewNPJ digital medicine2025

Digital health governance in China by a whole-of-society approach.

Minmin Wang, Xinran Lu, Yeting Du, Zhiqi Liu, Xiangning Li, Xuetong Zhao, Jinsheng Wang, Yinzi Jin, Minghui Ren

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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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

9 authors.

Minmin WangDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Xinran LuDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Yeting DuSchool of Health Humanities of Peking University, Beijing, China.
Zhiqi LiuSchool of Public Health, Peking University, Beijing, China.
Xiangning LiSchool of Public Health, Imperial College London, London, UK.
Xuetong ZhaoSchool of Public Health, Peking University, Beijing, China.
Jinsheng WangSchool of Public Health, Peking University, Beijing, China.
Yinzi JinDepartment of Global Health, School of Public Health, Peking University, Beijing, China. yzjin@bjmu.edu.cn.
Minghui RenDepartment of Global Health, School of Public Health, Peking University, Beijing, China.

Funding

National Natural Science Foundation of China 72274005National Natural Science Foundation of China 72304013
6 · The paper itself

Abstract

In this study, we review the application of digital technologies for health in China, examining the structure of its digital health governance. China's digital health governance is of political commitment, cross-sectoral collaboration, and a comprehensive, all-encompassing approach that engages the entire society. However, the fragmentation of data remains a fundamental obstacle. The whole-of-society approach offers a valuable example for other low- and middle-income countries in promoting digital transformation.

Identifiers

PMID40750663
PMCPMC12316965

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.