ArticleBMC medical informatics and decision making2013
Safety Assurance Factors for Electronic Health Record Resilience (SAFER): study protocol.
Article in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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
16 citing papers in PubMed.
- Electronic Health Record Downtime Events of a Hospital: A Retrospective Analysis from Adverse Event Reports.Applied clinical informatics · 2025Article
- Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Evaluating the usability of Iran's national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data.BMC medical informatics and decision making · 2024Article
- What Goes Up, Must Come Down: A State-of-the-Art Electronic Health Record Downtime and Uptime Procedure in a Metropolitan Health Setting.Applied clinical informatics · 2023Article
- Developing an Ophthalmology Clinical Decision Support System to Identify Patients for Low Vision Rehabilitation.Translational vision science & technology · 2021Article
- Adherence to recommended electronic health record safety practices across eight health care organizations.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Implications of electronic health record downtime: an analysis of patient safety event reports.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Toward More Proactive Approaches to Safety in the Electronic Health Record Era.Joint Commission journal on quality and patient safety · 2017Article
- Electronic Health Record-Related Safety Concerns: A Cross-Sectional Survey of Electronic Health Record Users.JMIR medical informatics · 2016Article
- Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.BMJ quality & safety · 2015Article
- A qualitative study identifying the cost categories associated with electronic health record implementation in the UK.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Resilient Practices in Maintaining Safety of Health Information Technologies.Journal of cognitive engineering and decision making · 2014Article
- Diagnostic errors: moving beyond 'no respect' and getting ready for prime time.BMJ quality & safety · 2013Article
- Trends in health information technology safety: from technology-induced errors to current approaches for ensuring technology safety.Healthcare informatics research · 2013Article
- Enabling large-scale biomedical analysis in the cloud.BioMed research international · 2013Review
- An analysis of electronic health record-related patient safety concerns.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImplementation and use of electronic health records (EHRs) could lead to potential improvements in quality of care. However, the use of EHRs also introduces unique and often unexpected patient safety risks. Proactive assessment of risks and vulnerabilities can help address potential EHR-related safety hazards before harm occurs; however, current risk assessment methods are underdeveloped. The overall objective of this project is to develop and validate proactive assessment tools to ensure that EHR-enabled clinical work systems are safe and effective. METHODS/
designThis work is conceptually grounded in an 8-dimension model of safe and effective health information technology use. Our first aim is to develop self-assessment guides that can be used by health care institutions to evaluate certain high-risk components of their EHR-enabled clinical work systems. We will solicit input from subject matter experts and relevant stakeholders to develop guides focused on 9 specific risk areas and will subsequently pilot test the guides with individuals representative of likely users. The second aim will be to examine the utility of the self-assessment guides by beta testing the guides at selected facilities and conducting on-site evaluations. Our multidisciplinary team will use a variety of methods to assess the content validity and perceived usefulness of the guides, including interviews, naturalistic observations, and document analysis. The anticipated output of this work will be a series of self-administered EHR safety assessment guides with clear, actionable, checklist-type items. DISCUSSION: Proactive assessment of patient safety risks increases the resiliency of health care organizations to unanticipated hazards of EHR use. The resulting products and lessons learned from the development of the assessment guides are expected to be helpful to organizations that are beginning the EHR selection and implementation process as well as those that have already implemented EHRs. Findings from our project, currently underway, will inform future efforts to validate and implement tools that can be used by health care organizations to improve the safety of EHR-enabled clinical work 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.