Evidence map›Paper›PMID 37570410›Full record

ReviewHealthcare (Basel, Switzerland)2023

Internet-Based Healthcare Knowledge Service for Improvement of Chinese Medicine Healthcare Service Quality.

Xiaoyu Wang, Yi Xie, Xuejie Yang, Dongxiao Gu

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
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

4 authors at 2 institutions in 1 country.

Xiaoyu WangThe Department of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230031, China.
Yi XieThe School of Management, Hefei University of Technology, Hefei 230009, China.
Xuejie YangThe School of Management, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0002-8258-7030
Dongxiao GuThe School of Management, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0003-3557-009X
Hefei University of Technology · CNAnhui University of Traditional Chinese Medicine · CN

Funding

National Social Science Foundation of China 21BTQ102
6 · The paper itself

Abstract

With the development of new-generation information technology and increasing health needs, the requirements for Chinese medicine (CM) services have shifted toward the 5P medical mode, which emphasizes preventive, predictive, personalized, participatory, and precision medicine. This implies that CM knowledge services need to be smarter and more sophisticated. This study adopted a bibliometric approach to investigate the current state of development of CM knowledge services, and points out that accurate knowledge service is an inevitable requirement for the modernization of CM. We summarized the concept of smart CM knowledge services and highlighted its main features, including medical homogeneity, knowledge service intelligence, integration of education and research, and precision medicine. Additionally, we explored the intelligent service method of traditional Chinese medicine under the 5P medical mode to support CM automatic knowledge organization and safe sharing, human-machine collaborative knowledge discovery and personalized dynamic knowledge recommendation. Finally, we summarized the innovative modes of CM knowledge services. Our research will guide the quality assurance and innovative development of the traditional Chinese medicine knowledge service model in the era of digital intelligence.

Indexed as

Chinese medicinehealthcare knowledge serviceinternet-based health servicequality of healthcare service

Identifiers

PMID37570410
PMCPMC10418357
OpenAlexW4385415299

What Socratic holds

Textmetadata
LicenceCC BY
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.