Evidence map›Paper›PMID 38016787›Full record

ReviewOpen heart2023

Harnessing the power of clinical decision support systems: challenges and opportunities.

Zhao Chen, Ning Liang, Haili Zhang, Huizhen Li, Yijiu Yang, Xingyu Zong, Yaxin Chen, Yanping Wang, Nannan Shi

Abstract readReview
In one paragraph

Review in Open heart, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 9 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

101 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  10. Trial
  11. Testing an HPV Vaccine Decision Aid for 27- to 45-Year-Old Adults in the United States: A Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
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41 more citing papers are in PubMed but not listed here.

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.

Zhao Chen *Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0002-3911-1125
Ning Liang *Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0003-0260-2331
Haili ZhangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Huizhen LiInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Yijiu YangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Xingyu ZongInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Yaxin ChenInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Yanping WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China wangyanping4816@163.com 13811839164@vip.126.com.
Nannan ShiInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China wangyanping4816@163.com 13811839164@vip.126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decision support systems (CDSSs) are increasingly integrated into healthcare settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency by providing clinicians with evidence-based recommendations at the point of care. However, the adoption and optimisation of these systems remain a challenge. This review aims to provide an overview of the current state of CDSS, discussing their development, implementation, benefits, limitations and future directions. We also explore the potential for enhancing their effectiveness and provide an outlook for future developments in this field. There are several challenges in CDSS implementation, including data privacy concerns, system integration and clinician acceptance. While CDSS have demonstrated significant potential, their adoption and optimisation remain a challenge.

Indexed as

Decision Support Systems, ClinicalDelivery of Health CareHumansglobal healthhealth servicesoutcome assessment, health carepublic healthquality of health care

Identifiers

PMID38016787
PMCPMC10685930

What OpenQuestion 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 OpenQuestion graph.