ArticleJournal of the American Medical Informatics Association : JAMIA2017
Participatory design of probability-based decision support tools for in-hospital nurses.
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review.Implementation science : IS · 2024Pooled it
- A Concept Analysis of Nurses' Clinical Decision Making: Implications for Korea.International journal of environmental research and public health · 2022Pooled it
- Cognitive readiness of nurses regarding artificial intelligence predictions: understanding through the dual lens of verbatim and gist knowledge.JAMIA open · 2026Article
- Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2024Article
- Inpatient nurses' preferences and decisions with risk information visualization.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Development and usability of a Mobile Interactive Application (VCPW) for Vascular Crisis Prewarning after Skin Flap Transplantation.JPRAS open · 2023Article
- Behavioral Health Decision Support Systems and User Interface Design in the Emergency Department.Applied clinical informatics · 2023Article
- Clinical Decision Support systems: A step forward in establishing the clinical laboratory as a decision maker hubA CDS system protocol implementation in the clinical laboratory.Computational and structural biotechnology journal · 2023Article
- Dashboard Design to Identify and Balance Competing Risk of Multiple Hospital-Acquired Conditions.Applied clinical informatics · 2022Article
- Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers.JMIR public health and surveillance · 2021Article
- Can artificial intelligence and machine learning help us treat sepsis?Intensive & critical care nursing · 2021Article
- Disappearing expertise in clinical automation: Barcode medication administration and nurse autonomy.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- A Perioperative Care Display for Understanding High Acuity Patients.Applied clinical informatics · 2021Article
- A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare.BMC medical informatics and decision making · 2020Article
- "How did you get to this number?" Stakeholder needs for implementing predictive analytics: a pre-implementation qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Prognostic models will be victims of their own success, unless….Journal of the American Medical Informatics Association : JAMIA · 2019Article
- User stories as lightweight requirements for agile clinical decision support development.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Usability Evaluation of a Dashboard for Home Care Nurses.Computers, informatics, nursing : CIN · 2019Article
- Informatics Solutions for Application of Decision-Making Skills.Critical care nursing clinics of North America · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo describe nurses' preferences for the design of a probability-based clinical decision support (PB-CDS) tool for in-hospital clinical deterioration.
methodsA convenience sample of bedside nurses, charge nurses, and rapid response nurses (n = 20) from adult and pediatric hospitals completed participatory design sessions with researchers in a simulation laboratory to elicit preferred design considerations for a PB-CDS tool. Following theme-based content analysis, we shared findings with user interface designers and created a low-fidelity prototype.
resultsThree major themes and several considerations for design elements of a PB-CDS tool surfaced from end users. Themes focused on "painting a picture" of the patient condition over time, promoting empowerment, and aligning probability information with what a nurse already believes about the patient. The most notable design element consideration included visualizing a temporal trend of the predicted probability of the outcome along with user-selected overlapping depictions of vital signs, laboratory values, and outcome-related treatments and interventions. Participants expressed that the prototype adequately operationalized requests from the design sessions.
conclusionsParticipatory design served as a valuable method in taking the first step toward developing PB-CDS tools for nurses. This information about preferred design elements of tools that support, rather than interrupt, nurses' cognitive workflows can benefit future studies in this field as well as nurses' practice.
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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.