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ArticleHealth science reports2026

Comparative Usability Evaluation of Two Hospital Information Systems: A Mixed-Methods Study in an Iranian Teaching Hospital.

Atefeh Sadat Mousavi, Ehsan Jalili Honarvar, Aida Ardebili Haghighi, Sedigheh Parveizi, Mouzhan Granfar, Seyyedeh Fatemeh Mousavi Baigi

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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.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Atefeh Sadat MousaviDepartment of Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0009-0005-1318-8406
Ehsan Jalili HonarvarMashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0009-0009-4914-4666
Aida Ardebili HaghighiMashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0009-0005-5211-7459
Sedigheh ParveiziMashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0009-0004-5525-9922
Mouzhan GranfarDepartment of Health Information Management, School of Allied Medical Sciences Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0009-0002-5089-4826
Seyyedeh Fatemeh Mousavi BaigiDepartment of Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0002-2214-0077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Usability of hospital information systems (HIS) is critical for workflow efficiency, user satisfaction, and safe clinical practice. Comparative evaluations of legacy desktop-based HIS and newer web-based platforms remain limited, particularly during the real-world digital transition. This study aimed to compare the usability of the legacy Iranian Hospital Information System (IHIS) and the newly implemented web-based Sepid system in the Inpatient Admission and Radiology modules of a teaching hospital in Mashhad, Iran. Methods: This convergent parallel mixed-methods study was conducted from July to September 2025 at Qaem Educational and Research Hospital. In the qualitative phase, eight expert evaluators conducted heuristic evaluations based on Nielsen's ten usability heuristics. In the quantitative phase, 34 end-users with routine experience using both systems completed the System Usability Scale (SUS). Qualitative findings were thematically consolidated, and quantitative data were analyzed using descriptive statistics and paired comparative tests. Results: Heuristic evaluation showed that Sepid's main usability problems were related to system performance, external database integration, and error messaging, whereas IHIS demonstrated more fundamental interface-related limitations, including visual clutter, weak flexibility, and lack of undo/redo functionality. Quantitatively, Sepid achieved a higher mean SUS score than IHIS (66.25 vs. 51.99). For Sepid, 4 users (11.8%) rated usability as unacceptable, 17 (50.0%) as marginal, and 13 (38.2%) as acceptable. For IHIS, the corresponding values were 12 (35.3%), 19 (55.9%), and 3 (8.8%), respectively. The between-system difference in SUS scores was statistically significant ( Conclusion: Although Sepid outperformed IHIS, both systems remained within the marginal usability range. The findings indicate that HIS improvement should prioritize user-centered interface redesign, stronger error prevention, better interoperability with external databases, and continuous user training. These results may guide developers, hospital managers, and policymakers in improving HIS design and implementation during the digital transition.

Indexed as

heuristic evaluationhospital information systemsepidusabilityuser‐centered designuser interface design

Identifiers

PMID42306203
PMCPMC13266416

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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.