Evidence map›Paper›PMID 41272660›Full record

SynthesisBMC health services research2025

Usability evaluation methods for hospital information systems: a systematic review.

Arezoo Dehghani Mahmoodabadi, HamidReza Dehghan, Khalil Kimiafar, Mahtab Karami, Seyyedeh Fatemeh Mousavi Baigi, Mahdi Farsi Mehrabadi

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Palliative care and social practice · 2026
    Article
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.

Arezoo Dehghani MahmoodabadiDepartment of Health Information Technology and Management, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
HamidReza DehghanDepartment of Health Information Technology and Management, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Khalil KimiafarDepartment Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahtab KaramiDepartment of Health Information Technology and Management, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyyedeh Fatemeh Mousavi BaigiDepartment Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahdi Farsi MehrabadiDepartment of Health Information Technology and Management, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. FarsiMM1@mums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital Information Systems (HIS) play a pivotal role in improving healthcare delivery by minimizing errors, increasing efficiency, and enhancing user satisfaction. Post-implementation usability evaluation is essential for optimizing these systems. This systematic review provides a comprehensive synthesis and comparative analysis of usability evaluation methods and tools applied across different HIS subsystems, offering evidence-based recommendations to inform future system design and research directions.

methodsA systematic search was conducted in PubMed, Embase, Scopus, Web of Science, SID, Magiran, Elmnet, and Google (first 10 pages) on January 14, 2024, following PRISMA 2020 guidelines. From 21,592 records, 41 studies met inclusion criteria. Eligible studies applied quantitative, qualitative, or mixed methods to evaluate HIS or its subsystems (e.g. NIS, LIS, CPOE). Data extraction and quality appraisal (using a modified Downs & Black checklist) were performed independently by two reviewers.

resultsAmong 41 included studies, user testing (UT) and heuristic evaluation (HE) were the most frequently applied methods (each in 34% of studies). The most commonly used tools were standardized questionnaires (40%) and checklists (36%), with SUS and Nielsen’s heuristics being predominant. Usability criteria assessed included user satisfaction (45%), efficiency (45%), error reduction (40%), learnability (19%), and flexibility (16%). HIS subsystems such as NIS (20%), CPOE (12%), and LIS (7%) were the most frequently evaluated. Geographically, 61% of the studies were conducted in low- and middle-income countries, with Iran accounting for the majority (56%), and most research was published between 2016 and 2020 (41%).

conclusionThis review highlights methodological trends and gaps in HIS usability research. Combining qualitative and quantitative methods enhances the accuracy of usability assessments. Future research should adopt AI-based evaluation tools, simulate clinical workflows, and address underexplored subsystems and criteria (e.g. learnability, flexibility) to improve HIS design and implementation.

Indexed as

Hospital Information SystemsUser-Computer InterfaceEvaluation Studies as TopicHumansHealthcare informaticsHeuristic evaluationHospital information systemsUsability evaluationUser testing

Identifiers

PMID41272660
PMCPMC12659082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.