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AI chatbot takes patient history before doctor visit – will it help or hinder?

NCT ID NCT06911398

Knowledge-focused Sponsor: Beth Israel Deaconess Medical Center Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested an AI system called AMIE that talks with patients before their urgent care appointment. About 100 adults had a conversation with the AI, supervised by a doctor for safety. Researchers checked how patients and doctors felt about the AI, the quality of the conversation, and whether the AI's suggestions matched the final diagnosis. The goal was to see if AI can safely help gather initial information before a doctor visit.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Articulate Medical Intelligence Explorer (AMIE) - an AI system for clinical conversations
What this could lead to
If successful, this could show that AI can safely help gather patient information before a doctor visit, potentially making triage more efficient.
What could go wrong
This is a small, early feasibility study with only 100 patients. The AI may not work well for all patients or conditions, and safety concerns could limit its use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

100 people

The number who actually took part.

Started

Apr 2025

Finished

Apr 2026

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population is all patients meeting the inclusion and exclusion criteria undergoing an episodic care visit at Healthcare Associates (HCA), the primary care clinic of BIDMC.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age \> 18 * English included as a primary language in the electronic health record * Patient is seeking episodic (urgent) care at HCA Exclusion Criteria: * Age \< 18 * English not listed as a primary language in the electronic health record * Visit reason is related to pregnancy * Visit reason is a psychiatric concern * Visit is to establish care, or for follow-up care

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence (AI) Clinical reasoning

Contacts and locations

Locations

  • Beth Israel Deaconess Medical Center

    Boston, Massachusetts, 02215, United States

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