Evidence map›Paper›PMID 35434158›Full record

ArticleGalen medical journal2021

Use of Hospital Information System to Improve the Quality of Health Care from Clinical Staff Perspective.

Ali Mohammadpour, Mohammad Mehdi Ghaemi, Reza Darrudi, Hassan Ebrahimpour Sadagheyani

Abstract read
In one paragraph

Article in Galen medical journal, 2021. 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
–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

4 citing papers in PubMed.

  1. 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

4 authors.

Ali MohammadpourSchool of Para Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Mohammad Mehdi GhaemiSchool of Management and Information Science, Kerman University of Medical Sciences, Kerman, Iran.
Reza DarrudiDepartment of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Hassan Ebrahimpour SadagheyaniDepartment of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The development of hospital information systems (HISs) has a significant effect on care processes. In this regard, the clinical staff's perspective is very important in evaluating the success of these systems. The present study aimed to evaluate the clinical staff's perspective at hospitals affiliated to Neyshabur University of Medical Sciences on the effectiveness of the HIS in improving their performance and strategies for increasing the system effectiveness. Materials and Methods: In the present cross-sectional study, 120 clinical staff who actively worked with the HIS were included. A two-part questionnaire was used for data gathering. Results: From the perspective of the research population, the effective score of HIS was %64.42 in improving their performance, and %81.85 in the case of developed HIS according to the suggested strategies. According to the research scale, the effectiveness of the system could be improved from good to excellent in the case of implementation of strategies, so that there was a statistically significant difference between the pre- and post-effectiveness (P<0.001). Conclusion: Positive population perspective on the effectiveness of HIS in-performance improvement of the clinical staff indicated that there was a good context for the development and utilization of information technology in the hospitals. The clinical staff's opinions and work needs as the primary group of patient care should be taken into consideration in order to increase the effectiveness of the HIS.

Indexed as

Clinical Staff’s PerspectiveHospital Information SystemPerformance ImprovementQuality of Health Care

Identifiers

PMID35434158
PMCPMC8993513

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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.