Trial reportJournal of the American Medical Informatics Association : JAMIA
The design and evaluation of a graphical display for laboratory data.
Trial report in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Centralized Multipatient Dashboards' Impact on Intensive Care Unit Clinician Performance and Satisfaction: A Systematic Review.Applied clinical informatics · 2024Pooled it
- Designing Novel Visual Physiologic Monitor Displays for Patient Care.Human factors · 2026Article
- LabVis: usability testing of a prototype tool for integrating timeline graphs and clinical notes.BMC medical informatics and decision making · 2025Article
- A New Graphical Method for Displaying Two-Dimensional Echocardiography Results in Dogs: Comprehensive Analysis of Results of Diagnostic Imaging Organized in a BOX (CARDIOBOX).Veterinary sciences · 2025Article
- HistoriView: Implementation and Evaluation of a Novel Approach to Review a Patient Using a Scalable Space-Efficient Timeline without Zoom Interactions.Applied clinical informatics · 2024Article
- Patient Information Summarization in Clinical Settings: Scoping Review.JMIR medical informatics · 2023Article
- Factors Influencing Clinicians' Use of Hospital Information Systems for Infection Prevention and Control: Cross-Sectional Study Based on the Extended DeLone and McLean Model.Journal of medical Internet research · 2023Article
- Medical data formatting to improve physician interpretation speed in the Military Healthcare System.JAMIA open · 2022Article
- Iterative heuristic design of temporal graphic displays with clinical domain experts.Journal of clinical monitoring and computing · 2021Article
- A Perioperative Care Display for Understanding High Acuity Patients.Applied clinical informatics · 2021Article
- Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs.BMC medical informatics and decision making · 2020Article
- Impact of integrated graphical display on expert and novice diagnostic performance in critical care.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- A deep learning backcasting approach to the electrolyte, metabolite, and acid-base parameters that predict risk in ICU patients.PloS one · 2020Article
- Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center.Applied clinical informatics · 2019Article
- Critical care information display approaches and design frameworks: A systematic review and meta-analysis.Journal of biomedical informatics: X · 2019Article
- Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study.JMIR diabetes · 2019Article
- Usability Evaluation of Visual Representation Formats for Emergency Department Records.Applied clinical informatics · 2019Article
- Data Visualizations to Support Health Practitioners' Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study.JMIR human factors · 2018Article
- Patient information organization in the intensive care setting: expert knowledge elicitation with card sorting methods.Journal of the American Medical Informatics Association : JAMIA · 2018Article
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
Abstract
objectiveAdvances in healthcare information technology have provided opportunities to present data in new, more effective ways. In this study, we designed a laboratory display that features small, data-dense graphics called sparklines, which have recently been promoted as effective representations of medical data but have not been well studied. The effect of this novel display on physicians' interpretation of data was investigated.
designTwelve physicians talked aloud as they assessed laboratory data from four patients in a pediatric intensive care unit with the graph display and with a conventional table display. MEASUREMENTS: Verbalizations were coded based on the abnormal values and trends identified for each lab variable. The correspondence of interpretations of variables in each display was evaluated, and patterns were investigated across participants. Assessment time was also analyzed.
resultsPhysicians completed assessments significantly faster with the graphical display (3.6 min vs 4.4 min, p=0.042). When compared across displays, 37% of interpretations did not match. Graphs were more useful when the visual cues in tables did not provide trend information, while slightly abnormal values were easier to identify with tables.
conclusionsData presentation format can affect how physicians interpret laboratory data. Graphic displays have several advantages over numeric displays but are not always optimal. User, task and data characteristics should be considered when designing information displays.
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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.