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

Condition(s) studied

Investigational drug(s) / intervention(s)

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

Study 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.

Eligibility

Primary outcome measure(s)

• the time difference (in minutes) — during 12 weeks
  the time difference (in minutes) from the end of consultation to the completion of the initial medical record

Trial sites (1)

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