GeoHAI App for Healthcare-Associated Infections

Overseen By Ohio State University Office of Responsible Research Practices

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Ohio State University

Disqualifiers: Not infection preventionist, others

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

Compensation: Varies

Number of Visits: 1

25 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to test a new computer app called GeoHAI, designed to help prevent hospital-acquired infections (HAIs). The app uses mapping and geographic data to identify infection clusters and assess how infections spread in hospitals. The goal is to enhance the speed and effectiveness of infection preventionists' responses to HAIs. Infection preventionists or physicians involved in infection prevention at the participating health system may be suitable candidates for this trial. As an unphased trial, this study provides a unique opportunity to contribute to innovative solutions in infection prevention.

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

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

What prior data suggests that the GeoHAI app is safe for use in hospitals?

Research has shown that the GeoHAI app helps control hospital-acquired infections by using location data. Researchers are testing the app to determine its safety and effectiveness for patients. The study is labeled "Not Applicable" in phase, indicating that the app is neither a drug nor a medical treatment. Instead, it uses data to prevent infections, eliminating side effects or risks associated with medicines. The focus is on how well the app aids hospital staff in tracking and preventing infections, rather than any direct impact on patients' health. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about the GeoHAI app because it offers a novel approach to managing healthcare-associated infections. Unlike traditional methods, which often involve manual tracking and reporting, GeoHAI leverages cutting-edge technology to provide real-time data and insights. This tool could significantly enhance infection control by enabling quicker responses and more accurate intervention strategies, potentially reducing infection rates in healthcare settings.

What evidence suggests that the GeoHAI app is effective for preventing hospital-acquired infections?

Research has shown that electronic tools, such as apps, can help identify and reduce hospital-acquired infections. In this trial, participants will use GeoHAI, a tool designed to help infection experts track the spread of infections over time and within hospitals. Studies have found that AI-powered tools like GeoHAI effectively predict and identify these infections. By using location information, GeoHAI pinpoints where infections occur and how they spread. This can lead to quicker responses and improved infection prevention methods in hospitals. ^{2 3 6 7 8}

Who Is on the Research Team?

Courtney Hebert, MD

Principal Investigator

Ohio State University

Are You a Good Fit for This Trial?

This trial is for infection preventionists and physicians who are involved in infection control at the participating health system. It's not open to those who aren't in this role or don't work within the specified healthcare setting.

Inclusion Criteria

Infection preventionist or physician involved in infection prevention at participating health system

Exclusion Criteria

Not an infection preventionist nor a physician involved in infection prevention

Does not work at the participating health system

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Training

Participants are trained on how to use the GeoHAI tool

Immediately post-training

1 visit (in-person)

Implementation

Participants use the GeoHAI tool to identify HAI clusters and assess transmission risk

6 months

Follow-up

Participants are monitored for changes in HAI investigation processes and tool usability

6 months

What Are the Treatments Tested in This Trial?

Interventions

• GeoHAI

Trial Overview

The study is testing GeoHAI, a new computer application that uses mapping and geographic data to help hospital epidemiologists identify clusters of Hospital Acquired Infections (HAIs) and assess transmission risks.

How Is the Trial Designed?

Group I: GeoHAI Use Experimental Treatment 1 Intervention

Participants will use the GeoHAI tool

Who Is Running the Clinical Trial?

Ohio State University

Lead Sponsor

Trials

891

Recruited

2,659,000+

University of Florida

Collaborator

Trials

1,428

Recruited

987,000+

Agency for Healthcare Research and Quality (AHRQ)

Collaborator

Trials

415

Recruited

6,777,000+

Citations

1.

withpower.com

withpower.com/trial/phase-clostridium-infections-2023-d522e

GeoHAI App for Healthcare-Associated Infections

The research suggests that using electronic systems, like apps, can help detect and reduce healthcare-associated infections by improving efficiency and accuracy ...

2.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC11776819/

P-201. Development of an Interactive Application to ...

Here we discuss the development of a web application (GeoHAI) for infection preventionists (IPs) to visualize C.diff in rooms over time and quantify the burden ...

3.

clinicaltrials.gov

clinicaltrials.gov/study/NCT06791382

AI-Driven Prediction of Hospital-Acquired Infections With ...

This is a multi-center, clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for identifying and diagnosing ...

4.

cdc.gov

cdc.gov/healthcare-associated-infections/php/data/index.html

HAIs: Reports and Data

CDC publishes data reports to help track progress and target areas that need assistance. The data come from two complementary HAI surveillance systems, the ...

5.

sciencedirect.com

sciencedirect.com/science/article/pii/S1876034120305001

Artificial intelligence-based tools to control healthcare ...

Objectives of HAIs surveillance are: to quantify rates of infections and compare them within/between healthcare facilities, engage clinical teams to adopt best ...

6.

grantome.com

grantome.com/grant/NIH/R01-HS027200-01

GeoHAI: A novel geographic tool for Hospital Acquired ...

The objective of this research is to develop a HAI assessment tool, which incorporates geographic data on the hospital and patient-level data from the ...

7.

pmc.ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov/articles/PMC12239059/

The future of healthcare‐associated infection surveillance

Healthcare‐associated infections (HAIs) are common adverse events, and surveillance is considered a core component of effective HAI reduction programmes.

8.

sciencedirect.com

sciencedirect.com/science/article/pii/S0195670121001821

eHealth for the prevention of healthcare-associated infections

To obtain an overview of available apps for HAI prevention, by selecting the clinically relevant apps and scoring functionality, quality and usefulness.