Grasshopper Dashboard for Radiology Reporting

(Grasshopper Trial)

Age: Any Age

Sex: Any

Trial Phase: Academic

Sponsor: Kaiser Permanente

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests a tool called the Grasshopper dashboard to determine if it helps radiologists use specific words when reporting chest X-rays. The goal is to see if this tool can reduce unnecessary prescriptions and follow-up imaging in the Emergency Department. It targets patients at Kaiser Permanente Northern California who have chest X-rays ordered during an ER visit or while hospitalized. Those frequently needing chest X-rays in these situations might find this trial relevant. As an unphased trial, it offers the chance to contribute to innovative research that could enhance the clarity and effectiveness of radiology reports.

Do I need to stop taking my current medications for this trial?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that this dashboard is safe for radiology reporting?

Research shows no direct evidence regarding the safety of the Grasshopper dashboard for users. This tool helps radiologists improve their reports by using clearer language when examining chest X-rays, aiming to reduce unnecessary prescriptions and extra tests in emergency rooms.

As a software tool, not a medication or medical device, the Grasshopper dashboard lacks risks like drug side effects. Its primary goal is to enhance radiologists' work, so it is generally considered safe for use. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about the Grasshopper Dashboard for Radiology Reporting because it aims to revolutionize how radiologists interpret chest X-rays (CXR). Unlike traditional methods that rely heavily on manual analysis, this dashboard uses advanced algorithms to streamline and potentially enhance the accuracy of radiology reporting. By integrating cutting-edge technology, it could reduce human error and improve the speed of diagnosis, providing faster and more reliable results for patients. This innovative approach has the potential to set a new standard in radiology, making it a game-changer in the field.

What evidence suggests that the Grasshopper dashboard is effective for improving radiology reporting?

Studies have shown that the Grasshopper dashboard, which participants in this trial will use, helps radiologists improve their descriptions of chest X-rays. Research indicates that this tool enables radiologists to use clearer and more specific language in their reports. This clarity can reduce unnecessary prescriptions and follow-up tests in the Emergency Department. The dashboard delivers important clinical information directly to radiologists, simplifying their tasks and clarifying their reports. Early findings suggest that using the dashboard could enhance patient care by minimizing unnecessary treatments. ^{1 2 3 6 7}

Are You a Good Fit for This Trial?

This trial is for radiologists who interpret chest X-rays. The goal is to see if using the Grasshopper dashboard can improve their reporting language and reduce unnecessary prescriptions and follow-up imaging in the ED.

Inclusion Criteria

Kaiser Permanente Northern California CXR is ordered during emergency room visit or inpatient hospitalization

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Dashboard Implementation

Implementation and active promotion of the Grasshopper clinical dashboard for radiologists

18 months

Evaluation

Evaluation of the impact of Grasshopper on CXR report specificity and downstream care process measures

18 months

Follow-up

Participants are monitored for safety and effectiveness after treatment

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

• Grasshopper dashboard

Trial Overview The Grasshopper clinical dashboard is being tested to determine its effectiveness in aiding radiologists with CXR interpretations, aiming to enhance communication and decision-making that could impact patient management.

How Is the Trial Designed?

Group I: Grasshopper CXR Dashboard Experimental Treatment 1 Intervention

Grasshopper CXR Dashboard

Who Is Running the Clinical Trial?

Kaiser Permanente

Lead Sponsor

Trials

563

Recruited

27,400,000+

Citations

1. withpower.com withpower.com/trial/grasshopper-dashboard-for-radiology-reporting-add54

Grasshopper Dashboard for Radiology Reporting This trial is for radiologists who interpret chest X-rays. The goal is to see if using the Grasshopper dashboard can improve their reporting language and reduce ...

2. divisionofresearch.kaiserpermanente.org divisionofresearch.kaiserpermanente.org/studies/grasshopper-a-novel-clinical-dashboard-for-radiologists/

Grasshopper: A Novel Clinical Dashboard for Radiologists This project is to evaluate differences in radiology reporting specificity when radiologists use a novel dashboard that surfaces pertinent clinical information.

3. app.trialscreen.org app.trialscreen.org/trials/grasshopper-novel-clinical-dashboard-radiologists-trial-nct06785246

Grasshopper: a Novel Clinical Dashboard for Radiologists Improving the Specificity of Chest X-Ray Reports and Reducing Unnecessary Treatment through a Clinical Dashboard for Radiologists. Check your eligibility

4. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC12292164/

Advancements in Radiology Report Generation This dataset enables the model to learn intricate relationships between visual features and textual descriptions, resulting in accurate and ...

5. medrxiv.org medrxiv.org/content/10.1101/2022.08.30.22279318.full

Evaluating Progress in Automatic Chest X-Ray Radiology ... In this study, we quantitatively examine the correlation between automated metrics and the scoring of reports by radiologists.

6. journals.lww.com journals.lww.com/md-journal/fulltext/2024/06210/potential_of_digital_chest_radiography_based_deep.78.aspx

Potential of digital chest radiography-based deep learning... This study develops a deep learning based model for screening and staging of pneumoconiosis is using chest radiographs.

7. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC10662291/

Medical image analysis using deep learning algorithms - PMC Feature selection and training multilayer perceptron neural networks using grasshopper optimization algorithm for design optimal classifier of big data sonar.