ArticleBMC medical informatics and decision making2019
Working with patients and the public to design an electronic health record interface: a qualitative mixed-methods study.
Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Evaluating patient acceptability of clinical pharmacist engagement following clinical decision support.Exploratory research in clinical and social pharmacy · 2026Article
- Prevalence of electronic screening for sepsis in National Health Service acute hospitals in England.BMJ health & care informatics · 2023Article
- Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning-Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers.JMIR formative research · 2023Article
- Developing an mHealth App for Empowering Cancer Survivors With Disabilities: Co-design Study.JMIR formative research · 2022Article
- Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Stakeholders' Perspectives on eHealth Support in Colorectal Cancer Survivorship: Qualitative Interview Study.JMIR cancer · 2021Article
- Article
- Designing an App to Overcome Language Barriers in the Delivery of Emergency Medical Services: Participatory Development Process.JMIR mHealth and uHealth · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundEnabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which may make them unsuitable for patient use. We aimed to develop an evidence-based electronic health record (EHR) interface and participatory design process by involving patients and the public.
methodsParticipants were recruited to multi-step workshops involving individual and group design activities. A mixture of quantitative and qualitative questionnaires and observational methods were used to collect participant perspectives on interface design and feedback on the workshop design process.
results48 recruited participants identified several design principles and components of a patient-centred electronic medical record interface. Most participants indicated that an interactive timeline would be an appropriate way to depict a medical history. Several key principles and design components, including the use of specific colours and shapes for clinical events, were identified. Participants found the workshop design process utilised to be useful, interesting, enjoyable and beneficial to their understanding of the challenges of information exchange in healthcare.
conclusionPatients and the public should be involved in EHR interface design if these systems are to be suitable for use by patient-users. Workshops, as used in this study, can provide an engaging format for patient design input. Design principles and components highlighted in this study should be considered when patient-facing EHR design interfaces are being developed.
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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.