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 Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

283
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
283
Introduction to GIS01:28

Introduction to GIS

621
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
621
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.5K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.5K
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

857
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
857
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

576
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
576
Manipulation and Analysis01:21

Manipulation and Analysis

306
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
306

You might also read

Related Articles

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

Sort by
Same author

Individualized Treatment Effects of Therapeutic Hypothermia in Children Postcardiac Arrest: A Reanalysis of Two Randomized Clinical Trials.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies·2026
Same author

An immune system for the city: A cluster-randomized trial of a new paradigm for surveillance and control of disease vectors.

PLoS neglected tropical diseases·2026
Same author

Personal variation in the palatability and side effects of liquid clindamycin among children.

Pediatric research·2026
Same author

Understanding patterns of variant emergence and spread in an ongoing epidemic.

medRxiv : the preprint server for health sciences·2026
Same author

Impact of the COVID-19 pandemic on adult asthma-related health care utilization.

The journal of allergy and clinical immunology. Global·2026
Same author

Coevolution of host resistance and pathogen exploitation in a propagule-mediated infection model.

PLoS computational biology·2026

Related Experiment Video

Updated: Feb 24, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.4K

Enhancing Electronic Health Record Data with Geospatial Information.

Sherrie Xie1, Rebecca Greenblatt1, Michael Z Levy1

  • 1Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|August 18, 2017
PubMed
Summary

Augmenting electronic health records with patient addresses reveals geographic disease patterns. Geospatial data enhances understanding of asthma exacerbations beyond demographics.

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

9.2K

Related Experiment Videos

Last Updated: Feb 24, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.4K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

9.2K

Area of Science:

  • Health Informatics
  • Epidemiology
  • Geographic Information Systems (GIS)

Background:

  • Electronic Health Records (EHR) offer valuable research data but have limitations.
  • Augmenting EHR data with external sources provides a more comprehensive patient view.
  • Geospatial analysis can reveal disease variations not captured by standard demographics.

Purpose of the Study:

  • To assess the utility of geocoded patient addresses in augmenting EHR data.
  • To identify geospatial variations in asthma exacerbations unexplained by EHR demographics.
  • To demonstrate the cost-effectiveness of integrating geospatial data into EHR research.

Main Methods:

  • Utilized 2011-2014 asthma patient encounter data from the University of Pennsylvania Hospital System (n=27,604).
  • Employed generalized additive models to analyze factors associated with asthma exacerbations.
  • Incorporated geocoded patient addresses to assess geospatial variability.

Main Results:

  • Identified risk factors for asthma exacerbations: female sex, Black race, older age, obesity, smoking history, and public insurance (Medicare/Medicaid).
  • Found significant geospatial variability in asthma exacerbations after adjusting for demographic factors.
  • Demonstrated that geospatial data effectively enhances EHR data for research.

Conclusions:

  • Geospatial data integration significantly enhances the understanding of disease distribution using EHRs.
  • Geographic variations in disease prevalence can be identified even after accounting for patient demographics.
  • Augmenting EHR data with geocoded addresses is a cost-effective strategy for epidemiological research.