Evidence map›Paper›PMID 36429954›Full record

ArticleInternational journal of environmental research and public health2022

Implementation of Health Information Systems to Improve Patient Identification.

Catalin Popescu, Hani El-Chaarani, Zouhour El-Abiad, Iza Gigauri

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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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.

Catalin PopescuDepartment of Business Administration, Petroleum-Gas University of Ploiesti, 100680 Ploiesti, Romania.ORCID 0000-0002-8921-8123
Hani El-ChaaraniFaculty of Business Administration, Beirut Arab University, Beirut P.O. Box 1150-20, Lebanon.ORCID 0000-0002-3074-9093
Zouhour El-AbiadFaculty of Economic Sciences and Business Administration, Lebanese University, Beirut P.O. Box 6573/14, Lebanon.
Iza GigauriSchool of Business, Computing and Social Sciences, Saint Andrew the First-Called Georgian University, Tbilisi 00179, Georgia.ORCID 0000-0001-6394-6416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wellbeing can be ensured in society through quality healthcare, a minimum of medical errors, and the improved performance of healthcare professionals. To this end, health information systems have been implemented in hospitals, with this implementation representing progress in medicine and information technologies. As a result, life expectancy has significantly increased, standards in healthcare have been raised, and public health has improved. This progress is influenced by the process of managing healthcare organizations and information systems. While hospitals tend to adapt health information systems to reduce errors related to patient misidentification, the rise in the occurrence and recording of medical errors in Lebanon resulting from failures to correctly identify patients reveals that such measures remain insufficient due to unknown factors. This research aimed to investigate the effect of health information systems (HISs) and other factors related to work-related conditions on reductions in patient misidentification and related consequences. The empirical data were collected from 109 employees in Neioumazloum Hospital in Lebanon. The results revealed a correlation between HISs and components and the effects of other factors on patient identification. These other factors included workload, nurse fatigue, a culture of patient safety, and lack of implementation of patient identification policies. This paper provides evidence from a Lebanese hospital and paves the way for further studies aiming to explore the role of information technologies in adopting HISs for work performance and patient satisfaction. Improved care for patients can help achieve health equality, enhance healthcare delivery performance and patient safety, and decrease the numbers of medical errors.

Indexed as

Health Information SystemsDelivery of Health CareHumansLebanonMedical ErrorsPatient Safetyculture of patient safetydigitalisationhealthcarehealth information systems (HISs)information systeminformation technologiespatient identificationtask support satisfaction

Identifiers

PMID36429954
PMCPMC9691236

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Registered trials

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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.