ArticleJournal of medical systems2016
Clinical Data Visualization: The Current State and Future Needs.
Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Design Practices for Data Dashboards in Health Care: Scoping Review.Journal of medical Internet research · 2026Review
- Data Visualization Support for Interdisciplinary Team Treatment Planning in Clinical Oncology: Scoping Review.Journal of medical Internet research · 2025Article
- Leveraging data-driven insights for esophageal and gastric cancer diagnosis.BMC medical informatics and decision making · 2025Article
- Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients.JMIR formative research · 2025Article
- Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data.JMIR medical informatics · 2024Article
- Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review.JMIR medical informatics · 2024Article
- Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review.JMIR research protocols · 2024Article
- 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
- The user-centered design and development of a childhood and adolescent obesity Electronic Health Record tool, a mixed-methods study.Frontiers in digital health · 2024Article
- VisualSphere: a Web-based Interactive Visualization System for Clinical Research Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation.JMIR mHealth and uHealth · 2023Article
- A Perioperative Care Display for Understanding High Acuity Patients.Applied clinical informatics · 2021Article
- A Web-Based Perioperative Dashboard as a Platform for Anesthesia Informatics Innovation.Anesthesia and analgesia · 2020Article
- Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development.JMIR mHealth and uHealth · 2020Article
- User-Centered Clinical Display Design Issues for Inpatient Providers.Applied clinical informatics · 2020Article
- "It's Not as Simple as Just Looking at One Chart": A Qualitative Study Exploring Clinician's Opinions on Various Visualisation Strategies to Represent Longitudinal Actigraphy Data.Digital biomarkers · 2020Article
- Reporting of confidence intervals, achievement of intended sample size, and adjustment for multiple primary outcomes in randomised trials of physical therapy interventions: an analysis of 100 representatively sampled trials.Brazilian journal of physical therapyReview
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growing volume of clinical data in modern medical practice creates difficulties for clinicians when attempting to come to a full understanding of each patient's overall health status. Many different approaches to computer-based visualizations have been taken in an attempt to alleviate this burden; however, no single approach has been widely adopted. As a step towards optimization and standardization of data visualization in healthcare, this paper presents a diverse set of approaches to visualization for multiple organ systems. To do so we summarize best practices in design and evaluation while proposing usability testing methodology. We then review and illustrate the goals of various clinical data visualization techniques.
Indexed as
Identifiers
27787779What Socratic 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 Socratic graph.