Evidence map›Paper›PMID 32497058›Full record

ArticlePloS one2020

Electronic Medical Records implementation in hospital: An empirical investigation of individual and organizational determinants.

Anna De Benedictis, Emanuele Lettieri, Luca Gastaldi, Cristina Masella, Alessia Urgu, Daniela Tartaglini

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.3field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 61 citations in OpenAlex.

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  7. Opportunities and obstacles of electronic health records in Italy: towards enhanced surgical care.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2024
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  11. The Stakeholders' Involvement in Healthcare 4.0 Services Provision: The Perspective of Co-Creation.International journal of environmental research and public health · 2023
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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

6 authors at 2 institutions in 1 country.

Anna De BenedictisDepartment of Healthcare Professions, University Hospital Campus Bio-Medico, Rome, Italy.ORCID 0000-0001-8655-0895
Emanuele LettieriDepartment of Economics, Management and Industrial Engineering, Politecnico of Milan, Milan, Italy.
Luca GastaldiDepartment of Economics, Management and Industrial Engineering, Politecnico of Milan, Milan, Italy.ORCID 0000-0003-1997-8423
Cristina MasellaDepartment of Economics, Management and Industrial Engineering, Politecnico of Milan, Milan, Italy.
Alessia UrguDepartment of Healthcare Professions, University Hospital Campus Bio-Medico, Rome, Italy.
Daniela TartagliniDepartment of Healthcare Professions, University Hospital Campus Bio-Medico, Rome, Italy.
Politecnico di Milano · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of hospital-wide Electronic Medical Records (EMRs) is still an unsolved quest for many hospital managers. EMRs have long been considered a key factor for improving healthcare quality and safety, reducing adverse events for patients, decreasing costs, optimizing processes, improving clinical research and obtaining best clinical performances. However, hospitals continue to experience resistance from professionals to accepting EMRs. This study combines institutional and individual factors to explain which determinants can trigger or inhibit the EMRs implementation in hospitals, and which variables managers can exploit to guide professionals' behaviours. Data have been collected through a survey administered to physicians and nurses in an Italian University Hospital in Rome. A total of 114 high-quality responses had been received. Results show that both, physicians and nurses, expect many benefits from the use of EMRs. In particular, it is believed that the EMRs will have a positive impact on quality, efficiency and effectiveness of care; handover communication between healthcare workers; teaching, tutoring and research activities; greater control of your own business. Moreover, data show an interplay between individual and institutional determinants: normative factors directly affect perceived usefulness (C = 0.30 **), perceived ease of use (C = 0.26 **) and intention to use EMRs (C = 0.33 **), regulative factors affect the intention to use EMRs (C = -0.21 **), and perceived usefulness directly affect the intention to use EMRs (C = 0.33 **). The analysis carried out shows that the key determinants of the intention to use EMRs are the normative ones (peer influence) and the individual ones (perceived usefulness), and that perceived usefulness works also as a mediator between normative factors and intention to use EMRs. Therefore, Management can leverage on power users to motivate, generate and manage change.

Indexed as

Attitude of Health PersonnelAttitude to ComputersElectronic Health RecordsFemaleHealth PersonnelHospital AdministrationHospitalsHumansMaleModels, StatisticalSurveys and Questionnaires

Identifiers

PMID32497058
PMCPMC7272094
OpenAlexW3033634457

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.