Ambient AI SystemCLOVA ChartyNCT07637591
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
A study testing VoiceEMR in people with Ambient AI System and Emergency Department, run by Samsung Medical Center at 1 site in South Korea.
Trial 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). Read more about this study
- Who is it for?
- Ages 20 years and olderHealthy volunteers can take part
- Conditions the study is for
- Ambient AI System, Emergency Department, Generative ai
- What is being tested?
- VoiceEMR
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 36 participants
- Where
- 1 siteSouth Korea
- Study dates
- 7 Apr 2025to 15 Aug 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Evaluation of a Generative AI-Based Communication and Clinical Documentation System and Its Impact on Workflow Efficiency in the Emergency Department
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
- Ambient AI System, Emergency Department, Generative ai
- Being tested
- VoiceEMR
- Medical subject headings
- Emergencies
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
VoiceEMRDevice
Also called KMed Charty
A tool that uses AI and Speech-to-Text (STT) technology to convert voice recordings of medical consultations into structured medical summaries.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Device: VoiceEMR |
What is being measured
The primary outcome is the main question the study is designed to answer.
the time difference (in minutes)
the time difference (in minutes) from the end of consultation to the completion of the initial medical record
Measured: during 12 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Jun 2026
- Study start7 Apr 2025
- Primary completion4 Jul 2025
- Study completion15 Aug 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Ambient AI SystemStudies of the same condition, open and under way.
- More trials run by Samsung Medical CenterThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Sequential
- Masking
- None (open label)
- Enrolment
- 36 participants (actual)
Sponsor and investigators
- Lead sponsor
- Samsung Medical Center
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07637591
- Sponsor's protocol ID
- 2024-07-021
- Acronym
- CLOVA Charty
- Status last verified
- Jun 2026
- First submitted
- 3 Jun 2026
- Last updated
- 10 Jun 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 10 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of a Generative AI-Based Communication and Clinical Documentation System and Its Impact on Workflow Efficiency in the Emergency Department
- ClinicalTrials.gov ID
- NCT07637591
- Acronym / sponsor ID
- CLOVA Charty / 2024-07-021
- Conditions
- Ambient AI System, Emergency Department, Generative ai
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 36 participants (actual)
- Lead sponsor
- Samsung Medical CenterUniversity, hospital or other
- Study start
- 7 Apr 2025 (actual)
- Primary completion
- 4 Jul 2025 (actual)
- Study completion
- 15 Aug 2026 (estimated)
- First posted
- 10 Jun 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Sequential
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| user group | Experimental | Device: VoiceEMRThis 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. |
Who may qualify
- Ages
- 20 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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
Key exclusion criteria (2 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| VoiceEMRAlso: KMed ChartyA tool that uses AI and Speech-to-Text (STT) technology to convert voice recordings of medical consultations into structured medical summaries. | Device | user group |
Primary outcome
the time difference (in minutes)
Time frame: during 12 weeks
the time difference (in minutes) from the end of consultation to the completion of the initial medical record
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Jun 2026.
Related trials for Ambient AI System
Recruiting
Ambient AI Scribe (Voa Health) in Outpatient Clinics: Draft Notes, Documentation Burden, and Well-Being
Burnout, Professionals, Medical Records Systems, Computerized
Not yet recruitingObservational study
Ambient AI Documentation in Oncology Consultations
Neoplasms, Clinical Documentation
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing VoiceEMR in people with Ambient AI System and Emergency Department, run by Samsung Medical Center at 1 site in South Korea.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 10 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in South Korea. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
the time difference (in minutes) (time frame: during 12 weeks). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 10 Jun 2026.