ArticleBMC medical informatics and decision making2020
Evaluating users' experiences of electronic prescribing systems in relation to patient safety: a mixed methods study.
Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05493072 (Safety, Performance, and User Perceptions of RxConnect When Used to Provide Patient-specific, Indication Based Prescribing Support), which is not on this map. Cited by 4 papers.
What it found
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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.
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.
Safety, Performance, and User Perceptions of RxConnect When Used to Provide Patient-specific, Indication Based Prescribing Support
Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- Transforming quality use of medicines in Saudi Arabia: physician perspectives on electronic prescribing systems.Frontiers in digital health · 2026Article
- Assessing Medication CDS Usability: Pilot Results from 10 Outpatient Clinics.Applied clinical informatics · 2025Article
- Electronic prescription systems in Greece: a large-scale survey of healthcare professionals' perceptions.Archives of public health = Archives belges de sante publique · 2024Article
- Antimicrobial stewardship using electronic prescribing systems in hospital settings: a scoping review of interventions and outcome measures.JAC-antimicrobial resistance · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUser interface (UI) design features such as screen layout, density of information, and use of colour may affect the usability of electronic prescribing (EP) systems, with usability problems previously associated with medication errors. To identify how to improve existing systems, our aim was to explore prescribers' perspectives of UI features of a commercially available EP system, and how these may affect patient safety.
methodsTwo studies were conducted, each including ten participants prescribing a penicillin for a test patient with a penicillin allergy. In study 1, eye-gaze tracking was used as a means to explore visual attention and behaviour during prescribing, followed by a self-reported EP system usability scale. In study 2, a think-aloud method and semi-structured interview were applied to explore participants' thoughts and views on prescribing, with a focus on UI design and patient safety.
resultsStudy 1 showed high visual attention toward information on allergies and patient information, allergy pop-up alerts, and medication order review and confirmation, with less visual attention on adding medication. The system's usability was rated 'below average'. In study 2, participants highlighted EP design features and workflow, including screen layout and information overload as being important for patient safety, benefits of EP systems such as keeping a record of relevant information, and suggestions for improvement in relation to system design (colour, fonts, customization) and patient interaction.
conclusionsSpecific UI design factors were identified that may improve the usability and/or safety of EP systems. It is suggested that eye-gaze tracking and think-aloud methods are used in future experimental research in this area. Limitations include the small sample size; further work should include similar studies on other EP systems.
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Registered trials
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.