Evaluation of GeoHAI Implementation
GeoHAI Implementation in IP Workflow
Ohio State University
25 participants
Feb 13, 2023
INTERVENTIONAL
Conditions
Summary
Geographic Information Systems (GIS) and spatial analysis have become important tools in public health informatics but have rarely been applied to the hospital setting. In this study we apply these tools to address the challenge of Hospital Acquired Infections (HAIs) by building, implementing, and evaluating a new computer application which incorporates mapping and geographic data to assist hospital epidemiologists in identifying HAI clusters and assessing transmission risk. We expect that incorporation of geographic information into the workflow of hospital epidemiologists will have a profound effect on our understanding of disease transmission and HAI risk factors in the hospital setting, radically altering the workflow and speed of response of infection preventionists and improving their ability to prevent HAIs.
Eligibility
Inclusion Criteria1
- Infection preventionist or physician involved in infection prevention at participating health system
Exclusion Criteria2
- Not an infection preventionist nor a physician involved in infection prevention
- Does not work at the participating health system
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
A Geographic healthcare-associated infection (HAI) visualization and assessment tool (GeoHAI) which uses spatio-temporal Bayesian models to identify clusters of National Healthcare Safety Network (NHSN)-defined hospital onset Clostridium difficile (CDI) and multidrug resistant organisms (MDRO), and predict potential high risk areas given hospital and patient risk factors.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT05612672