Evidence map›Paper›PMID 39935722›Full record

ReviewGlobal journal on quality and safety in healthcare2025

Connected Healthcare System Technology Interventions to Improve Patient Safety by Reducing Medical Errors: A Systematic Review.

Ramkrishna Mondal, Mohammed Sameer

Abstract readReview
In one paragraph

Review in Global journal on quality and safety in healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Ramkrishna MondalDepartment of Hospital Administration, All India Institute of Medical Sciences, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-1826-4579
Mohammed SameerDepartment of Hospital Administration, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication or medical mistakes, the third highest cause of death in the United States, occur from prescription writing to administering the therapy, with serious clinical and cost repercussions. Digital health technologies, such as connected healthcare systems, have the potential to reduce pharmaceutical errors and increase patient safety. This systematic review was conducted to find literature evidence to improve patient safety and reduce medication errors with connected healthcare interventions. This systematic review was conducted using the PRISMA 2020 guidelines. PubMed, SCOPUS, EBSCO, and Google Scholar databases were searched from January 1, 2000 to June 30, 2024 using keywords: medication errors, patient safety, and connected healthcare. A qualitative narrative analysis was conducted for the review. The detailed search yielded 9524 papers in total. In the process of duplicate removal, 4856 duplicate articles were found. After the removal of duplicate articles, 4615 were found not suitable or relevant to the topic of this study and were removed. Finally, 53 articles were chosen for the review study after screening and duplication removal. Ten of the 53 articles were review articles (18.9%), and 43 (81.1%) were original. The research indicates that various connected healthcare system technologies are more effective in minimizing errors and enhancing care quality. Integrating computerized physician order entry and clinical decision support systems may further reduce medical errors. However, many areas require additional research, and the outcomes are mixed. A balanced strategy that combines innovation, practical safety, and outcome evaluation is preferable.

Indexed as

connected healthcare systemdigital healthhealth technologymedical errorspatient safety

Identifiers

PMID39935722
PMCPMC11808857

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.