ArticleJournal of the American Medical Informatics Association : JAMIA2019
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Effect of digital tools to promote hospital quality and safety on adverse events after discharge.Journal of the American Medical Informatics Association : JAMIA · 2024Trial
- Integration of artificial intelligence applications in clinical pharmacy services: A scoping review.Future healthcare journal · 2026Review
- A Narrative Review on In-Hospital Alarm Fatigue and Telemetry Monitoring Failure: Epidemiology and a Safer Telemetry Framework Model Proposal.Healthcare (Basel, Switzerland) · 2026Review
- Meeting the challenges of electronic health record (EHR) optimization.NPJ digital medicine · 2025Review
- Design and Implementation of an Inpatient Fall Risk Management Information System.JMIR medical informatics · 2024Article
- Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare.NPJ digital medicine · 2023Review
- Advancing health information during interhospital transfer: An interrupted time series.Journal of hospital medicine · 2023Article
- Artificial intelligence in the field of pharmacy practice: A literature review.Exploratory research in clinical and social pharmacy · 2023Review
- Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review.Journal of medical Internet research · 2023Article
- Article
- Registered nurses' approach to pressure injury prevention: A descriptive qualitative study.Journal of advanced nursing · 2022Article
- Article
- Evaluation of electronic health record-integrated digital health tools to engage hospitalized patients in discharge preparation.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review.JAMIA open · 2020Review
- Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review.JMIR medical informatics · 2020Review
- Interactive Digital Health Tools to Engage Patients and Caregivers in Discharge Preparation: Implementation Study.Journal of medical Internet research · 2020Article
- Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.BMJ quality & safety · 2020Article
- Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.Journal of the American Medical Informatics Association : JAMIA · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
We established a Patient Safety Learning Laboratory comprising 2 core and 3 individual project teams to introduce a suite of digital health tools integrated with our electronic health record to identify, assess, and mitigate threats to patient safety in real time. One of the core teams employed systems engineering (SE) and human factors (HF) methods to analyze problems, design and develop improvements to intervention components, support implementation, and evaluate the system of systems as an integrated whole. Of the 29 participants, 19 and 16 participated in surveys and focus groups, respectively, about their perception of SE and HF. We identified 7 themes regarding use of the 12 SE and HF methods over the 4-year project. Qualitative methods (interviews, focus, groups, observations, usability testing) were most frequently used, typically by individual project teams, and generated the most insight. Quantitative methods (failure mode and effects analysis, simulation modeling) typically were used by the SE and HF core team but generated variable insight. A decentralized project structure led to challenges using these SE and HF methods at the project and systems level. We offer recommendations and insights for using SE and HF to support digital health patient safety initiatives.
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What OpenQuestion holds
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.