Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Create laboratory business intelligence dashboards for free using R: A tutorial using the flexdashboard package.

Shannon Haymond1

  • 1Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Journal of Mass Spectrometry and Advances in the Clinical Lab
|January 13, 2022
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Changing Face of Academic Laboratory Medicine-A Decade Later and Beyond.

Clinical chemistry·2025
Same author

Direct cost savings associated with reduction in plasma metagenomic sequencing.

Infection control and hospital epidemiology·2025
Same author

Proceedings of the Association for Pathology Informatics Bootcamp 2022.

Journal of pathology informatics·2023
Same author

Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.

Clinical chemistry·2023
Same author

Do You See What I See? Automated IFE Interpretation Using Machine Learning.

Clinical chemistry·2022
Same author

System Performance Monitoring in Clinical Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).

Methods in molecular biology (Clifton, N.J.)·2022

This tutorial demonstrates using R flexdashboard to create custom clinical laboratory dashboards for monitoring critical results. Sample code is provided for interactive data visualization and learning.

Area of Science:

  • Clinical Laboratory Science
  • Data Visualization
  • Health Informatics

Background:

  • Critical result reporting is vital for patient safety in clinical laboratories.
  • Effective monitoring systems are needed to manage critical laboratory findings.
  • The R programming language offers tools for data analysis and visualization.

Purpose of the Study:

  • To demonstrate the application of the R flexdashboard package for building custom dashboards.
  • To illustrate methods for monitoring critical result reporting in a clinical laboratory setting.
  • To provide practical examples and code for creating interactive data visualizations.

Main Methods:

  • Utilized the R flexdashboard package for dashboard development.
  • Incorporated interactive components for data exploration and monitoring.
Keywords:
Business intelligenceData analytics

Related Experiment Videos

  • Developed sample code and exercises for user learning and implementation.

    • Main Results:

    • Successfully developed a customizable dashboard framework for critical result monitoring.
    • Demonstrated the creation of various interactive elements within the dashboard.
    • Provided a learning resource with code and exercises for practical application.

    Conclusions:

    • The R flexdashboard package is a powerful tool for creating tailored clinical laboratory dashboards.
    • Interactive dashboards enhance the monitoring of critical laboratory results.
    • This tutorial facilitates the adoption of R-based data visualization for laboratory management.