Evidence map›Paper›PMID 41726301›Full record

ArticleHealth science reports2026

Evaluating the Effectiveness of Health Information Management Systems in Facilitating Quality Healthcare Service: A Cross-Sectional Study.

Richard Okyere Boadu, Kwame Adu Okyere Boadu, Desmond Andoh, Joycelyn Anna Kwaw, Samuel Nii Agyabeng, Samuel Oppong-Yeboah, Victor Wireko Adu, Godwin Adzakpah, Nathan Kumasenu Mensah

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Richard Okyere BoaduDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0003-2243-593X
Kwame Adu Okyere BoaduSunyani Teaching Hospital Sunyani Ghana.ORCID https://orcid.org/0009-0008-2191-2494
Desmond AndohDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.
Joycelyn Anna KwawDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.
Samuel Nii AgyabengDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.
Samuel Oppong-YeboahDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.
Victor Wireko AduDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.
Godwin AdzakpahDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0002-6916-6733
Nathan Kumasenu MensahDepartment of Health Information Management, School of Allied Health Sciences, College of Health and Allied Health Sciences University of Cape Coast Cape Coast Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: HIMS was purposefully implemented to generate high-quality data to help manage and track patients' health status and support healthcare decisions such as clinical care and resource allocation. In this vein, the study aims to evaluate the effectiveness of HIMS in facilitating quality healthcare service by assessing professionals' perception of HIMS, its impact on healthcare quality and feedback on HIMS satisfaction and areas for improvement. Methods: The study employed a cross-sectional design to collect data from 480 healthcare professionals from the Directorate of University Health Services-University of Cape Coast, Cape Coast Teaching Hospital and Ewim Polyclinic via semi-structured questionnaires. A thorough quantitative data analysis approach was employed using the Statistical Package for Social Sciences (SPSS) version 2.6. The results presented the descriptive and influential statistics (Chi-square test of independence), with Results: Healthcare professionals are acquainted with HIMS and its usage in their facilities. About 85% of the participants rated the system's user-friendliness as good and excellent. Perception of the essentiality of HIMS interoperability is associated with occupation type (χ Conclusion: The overall sentiment towards HIMS is favorable, indicating a successful adoption and integration into daily operations. HIMS has proven to be the necessary technology needed to fill gaps in care delivery and transform healthcare service.

Indexed as

digital healthhealthcare systemshealthcare technologiesquality health outcomes

Identifiers

PMID41726301
PMCPMC12916874

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.