NCT05118022

Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE)

Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE) Prompts Immediate Treatment

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 14,989 (actual)
• Sponsor: National Defense Medical Center, Taiwan · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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.

Timeline

• Start date: 2022-01-01
• Primary completion: 2022-10-31
• Completion: 2023-02-28
• First posted: 2021-11-11
• Last updated: 2024-09-19

Locations

1 site across 1 country: Taiwan