ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015
Supporting Clinical Cognition: A Human-Centered Approach to a Novel ICU Information Visualization Dashboard.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 48 citations in OpenAlex.
- Designing Novel Visual Physiologic Monitor Displays for Patient Care.Human factors · 2026Article
- Augmenting clinicians' analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Application of a user experience design approach for an EHR-based clinical decision support system.JAMIA open · 2024Article
- Article
- Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design.JMIR formative research · 2024Article
- Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors.Frontiers in radiology · 2024Review
- Patient Information Summarization in Clinical Settings: Scoping Review.JMIR medical informatics · 2023Article
- The Iterative Design Process of an Explainable AI Application for Non-Invasive Diagnosis of CNS Tumors: A User-Centered Approach.... IEEE Workshop on Visual Analytics in Healthcare. IEEE Workshop on Visual Analytics in Healthcare · 2023Article
- Electronic nudge tool technology used in the critical care and peri-anaesthetic setting: a scoping review protocol.BMJ open · 2022Article
- Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study.JMIR human factors · 2022Article
- A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation.JMIR human factors · 2022Article
- State-of-the-art Dashboards on Clinical Indicator Data to Support Reflection on Practice: Scoping Review.JMIR medical informatics · 2022Article
- Association of Electronic Health Record Use With Physician Fatigue and Efficiency.JAMA network open · 2020Article
- Critical care information display approaches and design frameworks: A systematic review and meta-analysis.Journal of biomedical informatics: X · 2019Article
- Evaluation of an Anesthesia Dashboard Functional Model Based on a Manufacturer-Independent Communication Standard: Comparative Feasibility Study.JMIR human factors · 2019Article
- A visual analytics approach for pattern-recognition in patient-generated data.Journal of the American Medical Informatics Association : JAMIA · 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
- The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review.JMIR human factors · 2018Review
- Toward Designing Information Display to Support Critical Care. A Qualitative Contextual Evaluation and Visioning Effort.Applied clinical informatics · 2016Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in intensive care unit bedside displays/interfaces and electronic medical record (EMR) technology have not adequately addressed the topic of visual clarity of patient data/information to further reduce cognitive load during clinical decision-making. We responded to these challenges with a human-centered approach to designing and testing a decision-support tool: MIVA 2.0 (Medical Information Visualization Assistant, v.2). Envisioned as an EMR visualization dashboard to support rapid analysis of real-time clinical data-trends, our primary goal originated from a clinical requirement to reduce cognitive overload. In the study, a convenience sample of 12 participants were recruited, in which quantitative and qualitative measures were used to compare MIVA 2.0 with ICU paper medical-charts, using time-on-task, post-test questionnaires, and interviews. Findings demonstrated a significant difference in speed and accuracy with the use of MIVA 2.0. Qualitative outcomes concurred, with participants acknowledging the potential impact of MIVA 2.0 for reducing cognitive load and enabling more accurate and quicker decision-making.
Indexed as
Identifiers
26958190PMC4765655W2413454708What 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.