Evaluation of a Generative AI-Based Voice Documentation System for Patient-Clinician Communication in the Emergency Department and Its Impact on Clinical Workflow Efficiency and Usability

NCT07637591 | Active Not Recruiting

• 1 other identifier: 2024-07-021
• Study Type: interventional
• Target: 36
• Locations: 1 country
• Sites: 1

Brief Summary

This research study at Samsung Medical Center evaluates the impact of Ambient AI system, a Generative AI-based communication and documentation system developed by NAVER, on the efficiency and quality of medical record-keeping within the Emergency Department (ED). By converting patient-clinician dialogues into automated medical summaries, the study aims to reduce the administrative burden on healthcare providers and address the issue of physician burnout caused by excessive documentation. The trial involves approximately 1,148 patients and 20 medical staff members, comparing a control period of conventional documentation against an experimental phase where AI-generated drafts are utilized to assist in clinical recording. Through quantitative analysis of documentation time, patient length of stay, and speech-to-text accuracy, alongside qualitative assessments of usability and satisfaction, the research seeks to determine if this AI intervention can effectively streamline ED workflows and enhance the overall quality of patient care in overcrowded medical environments.

Conditions

Generative ai; Ambient AI System; Emergency Department

Outcome Measures

Primary Outcomes (1)

• the time difference (in minutes)

  the time difference (in minutes) from the end of consultation to the completion of the initial medical record

  during 12 weeks

Study Arms (1)

user group

EXPERIMENTAL

This arm is specifically composed of medical staff (doctors or nurses) who have at least 6 months of experience in emergency department triage and initial examinations.

Device: VoiceEMR

Interventions

VoiceEMR DEVICE

A tool that uses AI and Speech-to-Text (STT) technology to convert voice recordings of medical consultations into structured medical summaries.

Also known as: KMed Charty

user group

Eligibility Criteria

• Age: 20 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Healthcare providers who have performed triage and initial examinations in the emergency department for at least 6 months
• Individuals who act as the primary subjects of communication during the triage and initial examination process
• Individuals who have voluntarily signed the informed consent form after receiving a detailed explanation of the research study

You may not qualify if:

• Individuals who do not agree to participate in the research
• Individuals who do not participate in the communication during the triage or initial examination process

Sponsors & Collaborators

• Samsung Medical Center: lead

Study Sites (1)

Samsung medical center

Seoul, Gangnam-gu, 06351, South Korea

Location

MeSH Terms

Conditions

Emergencies

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: OTHER
• Intervention Model: SEQUENTIAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 3, 2026
• First Posted: June 10, 2026
• Study Start: April 7, 2025
• Primary Completion: July 4, 2025
• Study Completion (Estimated): August 15, 2026
• Last Updated: June 10, 2026

Record last verified: 2026-06

Locations

KR (1)