ClinicalTrials.gg
Not yet recruitingNCT07918352VA-AI-CLABSIUpdated Nov 5, 2026

Evaluation of an AI-Assisted Tool for CLABSI Surveillance at VA Medical Centers

An interventional study of Generative AI tool for CLABSI surveillance in Central Line-Associated Bloodstream Infection (CLABSI), Bacteremia and Bloodstream Infections, sponsored by University of Maryland, Baltimore. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-11-05.

Sponsored by University of Maryland, Baltimore · Not applicable, Interventional, and Health services research

Updated Nov 5, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
30
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

Infection prevention and control programs at US hospitals perform surveillance to detect and publicly report hospital-onset central line-associated bloodstream infections (CLABSI) using standards set by CDC's National Healthcare Safety Network (NHSN). Because this process requires time-consuming review of the medical record by dedicated infection preventionists, VA has developed a generative artificial intelligence (AI) tool that applies the NHSN CLABSI standard to clinical data from the medical record. In this quality improvement initiative, we will evaluate the tool as it is implemented operationally across a cohort of VA medical centers in 3 randomized waves. The purpose of this evaluation is (1) to determine whether the tool reduces the time required for CLABSI surveillance, (2) to assess the objectivity and trustworthiness of the tool from the perspective of infection preventionists, and (3) to detect patient safety events.

Read the detailed description

This study is being conducted from a VA operational perspective as quality improvement. This will proceed regardless of research approvals. This was submitted to the University of Maryland / Baltimore VA joint IRB/VA Research \& Development committees and determined to be non-human subjects research.

02

Conditions studied

  • Central Line-Associated Bloodstream Infection (CLABSI)
  • Bacteremia
  • Bloodstream Infections

Keywords

  • artificial intelligence
  • generative AI
  • infection surveillance
  • infection prevention
  • health care-associated infection
  • quality improvement
  • Veterans Affairs
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In context

Bacteremia

297 studies on the registry are indexed under Bacteremia; 51 are open to participants now.

This study's planned enrollment of 30 is below the median of 156 across 156 interventional studies indexed under Bacteremia.

Browse Bacteremia studies →

Lead sponsor

University of Maryland, Baltimore is the lead sponsor of 700 studies on the registry; 132 are open to participants now.

Of its 92 completed or terminated interventional studies of FDA-regulated products, 66 (72%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Infection preventionists will participate in this study if their VA medical center is eligible based on the inclusion and exclusion criteria below. At participating sites, all positive blood culture events reviewed as potential central line-associated bloodstream infections (CLABSI) during the study period will be included in the analysis.

Inclusion criteria

Inclusion Criteria:

  1. VA medical center that provides short- or long-term acute care
  2. CLABSI surveillance is performed by a local infection prevention team who agree to complete all study assessments

Exclusion criteria

Exclusion Criteria:

1. VA medical center planned for conversion to the Cerner electronic health record within the anticipated study period

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Crossover assignment
Masking
None (open label)
Enrollment
30 participants (estimated)

Study arms

  • Experimental
    Post-implementation of an AI for CLABSI surveillance

    Infection preventionists (reviewers) at participating VA medical centers will use the generative artificial intelligence (AI) tool while reviewing cases of bacteremia to adjudicate the presence of a central line-associated bloodstream infection (CLABSI). The tool operationalizes the CDC's National Healthcare Safety Network definition of CLABSI as discrete steps. Reviewers will be allowed to flexibly implement the tool within their workflow, will not be restricted from performing independent review of the medical record to clarify tool output when necessary, and will retain final authority regarding all CLABSI determinations for event reporting.

    Other: Generative AI tool for CLABSI surveillance

  • No intervention
    Standard CLABSI surveillance

    Infection preventionists at participating VA medical centers will use their pre-intervention approach to surveillance for central line-associated bloodstream infections (CLABSI), which involves manual review of the medical record and reporting per the CDC National Healthcare Safety Network CLABSI definition.

Interventions

  • OtherGenerative AI tool for CLABSI surveillance

    The intervention involves implementation of a generative artificial intelligence (AI) tool that operationalizes the CDC National Healthcare Safety Network definition for central line-associated bloodstream infections (CLABSI) to support CLABSI surveillance. The tool reviews the medical record to confirm the presence and duration of a central line, identify competing or secondary sources of infection, exclude commensal organisms and bloodstream infections due to mucosal barrier injury, and provide supporting quotations from the medical record.

06

What researchers measure

Primary outcomes

  1. Time per bacteremia case review

    Time in elapsed minutes captured automatically by start and end time of the per-case review form. Assessed at time of completion of the bacteremia case review.

    Time frame: At completion of each bacteremia case review performed during the study period beginning 1 month prior to implementation until 6 months post-implementation.

Secondary outcomes

  1. Difficulty of bacteremia case review

    Measured using the Single Ease Question, a validated single-item 7-level scale.

    Time frame: At completion of each bacteremia case review performed during the study period beginning 1 month prior to implementation until 6 months post-implementation.

  2. Objectivity of case review

    Measured using a question on the case review form ("How objective is the case to review? (1=not at all objective to 7=very objective)").

    Time frame: At completion of each bacteremia case review performed during the study period beginning 1 month prior to implementation until 6 months post-implementation.

  3. Reviewer confidence in case review

    Measured using a question on the case review form ("How confident are you with your review of this case? (1=not confident to 7=very confident)").

    Time frame: At completion of each bacteremia case review performed during the study period beginning 1 month prior to implementation until 6 months post-implementation.

  4. Infection preventionist-identified safety problems

    Reported using a binary question (yes/no) on the monthly survey administered to all sites during the post-implementation period.

    Time frame: Assessed monthly during each facility's 6-month post-implementation period

  5. Infection preventionist-identified direct patient harm

    Reported using a binary question (yes/no) on the monthly survey administered to all sites during the post-implementation period.

    Time frame: Assessed monthly during each facility's 6-month post-implementation period

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Study locations

No study locations are listed for this record.

08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 5, 2026
Show all 1 update
  1. Nov 5, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07918352
Collaborators
VA Maryland Health Care System, US Department of Veterans Affairs
Responsible party
Daniel Morgan (Professor, VA Maryland Health Care System) — Principal investigator
First posted
Nov 5, 2026
Start date
Nov 16, 2026 (estimated)
Primary completion
Sep 30, 2027 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Nov 5, 2026

Study contacts

Daniel J Morgan, MD, MS
Contact
dmorgan@som.umaryland.edu
410-706-0066
Jonathan D Baghdadi, MD, PhD
Contact
jbaghdadi@som.umaryland.edu
410-706-0066
Daniel J Morgan, MD, MS
principal investigator · University of Maryland, Baltimore

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Nov 2026. You cannot join it, but the record below documents what was studied.

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