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Helping Nurses Adapt to Artificial Intelligence: A Study on AI-Assisted Patient Triage in Coimbatore Tertiary Care Hospitals Participants: Nurses Intervention: AI-assisted triage Main Outcome: Adaptation of nurses to AI

A Convergent Parallel Mixed-Methods Study to Assess the Effectiveness of a Machine Learning-Based Triage System on Technology Acceptance and Workflow Adaptation Among Emergency Department Nurses at a Tertiary Care Hospital in Coimbatore: A Randomized Controlled Trial. - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2026/04/107261
Enrollment
40
Registered
2026-04-01
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Artificial Intelligence Based Triage System: Week 1 Structured training: Didactic and hands-on sessions on the AI triage system, including operation of the hardware kiosk, understandi

Sponsors

The Tamilnadu Dr MGR Medical University
Lead Sponsor
PSG College of Technology
Collaborator
PSG Institute of Medical Sciences and Research Hospitals
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: Registered nurses working in emergency medical departments for more than six months. Direct involvement in patient triage activities.

Exclusion criteria

Exclusion criteria: Those with previous extensive experience with artificial intelligence based systems. Nurses planning to leave the emergency department during the study period.

Design outcomes

Primary

MeasureTime frame
Mean change in total score on the Trust in Artificial Intelligence Technology Scale from baseline to post-test at twelve weeks. The scale consists of five items measured on a seven point Likert scale with higher scores indicating greater trust in artificial intelligence technology.Timepoint: Baseline and at twelve weeks—

Secondary

MeasureTime frame
Mean change in total score on the Trust in Artificial Intelligence Technology Scale from baseline to post-test at twelve weeks. The scale consists of five items measured on a seven point Likert scale with higher scores indicating greater trust in artificial intelligence technology. Timepoint: Baseline and at twelve weeks;Mean change in total score on the Computer Self-Efficacy Scale from baseline to post-test at twelve weeks. The scale consists of five items measured on a seven point Likert scale with higher scores indicating greater confidence in using computer based systems.Timepoint: Baseline and at twelve weeks;Mean frequency of artificial intelligence based triage system utilization by nurses in the experimental group during the independent utilization phase measured by system access logs. Utilization frequency includes number of logins per shift and number of triage assessments performed using the system.Timepoint: Throughout the twelve week post-implementation period—

Countries

India

Contacts

Public ContactBaskaran M

PSG College of Nursing

baskirathi@gmail.com09842418047

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026