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Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE)

NCT05118022 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 14989

Last updated 2024-09-19

No results posted yet for this study

Summary

This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of potassium abnormalities.

Conditions

  • Hyperkalemia
  • Hypokalemia

Interventions

OTHER

Artificial Intelligence identified Dyskalemia using Electrocardiogram (AIDE) system

Once the AIDE indicates high risk of dyskalemia, an obvious message by scarlet letter was appeared in the HIS operation interface to corresponding physicians. To avoid the alert fatigue, we selected the cut-off points with expected positive predictive values of ≥40% according to previous data, which was the consensus of enrolled physicians before the trial considering the clinical loading. The physicians received the AIDE alerts as long as they were operating HIS logged in by their account, even if they were caring other patients. Physicians can review the AIDE predictions of patients in the intervention group. Therefore, this was a single-blind study since HIS presented different information for patients in intervention and control groups. The participated physicians understood the likelihood of dyskalemia and cardiac risk for those patients with ECG-dyskalemia, and provided suitable medical care according to patients' conditions.

Sponsors & Collaborators

  • National Defense Medical Center, Taiwan

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-01
Primary Completion
2022-10-31
Completion
2023-02-28

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05118022 on ClinicalTrials.gov