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

Using geographical information systems for management of back-pain data.

G Ghinea1, D Gill, A Frank

  • 1Department of Information Systems and Computing, Brunel University, Uxbridge, UK.

Journal of Management in Medicine
|September 5, 2002
PubMed
Summary

Geographic Information Systems (GIS) offer powerful new ways to manage and visualize complex back pain patient data. This approach enhances spatial data analysis for better understanding of pain distribution and type.

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

Omitting the sentinel lymph node biopsy: a region's perspective following recommendations from the SOUND trial.

Annals of the Royal College of Surgeons of England·2026
Same author

The association between periodontitis and cerebrovascular disease, and dementia. Scientific report of the working group of the Spanish Society of Periodontology and the Spanish Society of Neurology.

Neurologia·2024
Same author

The importance of public participation in framing air pollution policy: outcome of a judicial review in New Delhi, India.

Public health action·2023
Same author

Perpendicular Subcritical Shock Structure in a Collisional Plasma Experiment.

Physical review letters·2022
Same author

Cerclage performance analysis - a biomechanical comparison of different techniques and materials.

BMC musculoskeletal disorders·2022
Same author

Population dynamic regulators in an empirical predator-prey system.

Journal of theoretical biology·2021

Area of Science:

  • Medical Informatics
  • Geographic Information Systems
  • Data Visualization

Background:

  • Statistical visualization in medicine is often limited to basic geographical applications.
  • Hospitals collect extensive spatial patient data, including detailed back pain information and pain drawings.
  • Current methods lack robust computer-based management and analysis for this spatial data.

Purpose of the Study:

  • To propose technological solutions for digitally linking back pain datasets with patient pain drawings.
  • To enable advanced computer-based data management and analysis of spatial back pain information.
  • To explore the application of Geographical Information Systems (GIS) for visualizing and managing back pain data.

Main Methods:

  • Development of technological solutions to integrate spatial back pain data with pain drawings.

Related Experiment Videos

  • Implementation of Geographical Information Systems (GIS) for data management and analysis.
  • Comparative evaluation of proposed technological solutions for back pain data visualization.
  • Main Results:

    • Proposed solutions enable digital linking of back pain datasets to patient pain drawings.
    • Geographical Information Systems (GIS) provide novel and powerful methods for visualizing and managing back pain data.
    • The GIS-based solution, despite added complexity and cost, is most suitable for back pain data analysis.

    Conclusions:

    • Geographical Information Systems (GIS) present a highly effective tool for the visualization and analysis of back pain datasets.
    • Integrating GIS technology can significantly advance the management of spatial patient data in healthcare settings.
    • This approach offers a powerful method to analyze the spatial distribution and type of pain reported by patients.