An observational study in Artificial Intelligence (AI) and Clinical Reasoning, sponsored by Beth Israel Deaconess Medical Center. Completed at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-20.
Sponsored by Beth Israel Deaconess Medical Center · Observational
The purpose of this study is to determine the feasibility of a conversational artificial intelligence (AI) system to have a meaningful clinical conversation with a patient prior to an urgent care visit with their primary care physician. In this study, patients who are seeking an urgent care visit (that is, any type of medical visit with their primary care provider for a new complaint) will first have a conversation with an AI system. This interaction with the AI system will happen less than a week before their visit with their physician, and will be supervised by an independent physician who will interrupt in case there are any concerns about patient safety. After the interaction, a summary of the conversation will be sent to the patient's PCP, who will review prior to the in-person visit.
The researchers will investigate:
This study is a pilot study on the ability of the Articulate Medical Intelligence Explorer's ability to have a clinical conversation with urgent care patients. After recruitment into the study, but prior to seeing their primary care physician (PCP), patients will log in to the AMIE chat interface via a secure web application and share their screen via a secure, HIPAA-compliant video conferencing program. They will then interact with AMIE, having a clinical conversation. A physician safety supervisor will be on the call the entire time and will view the chat as it happens. This doctor will interrupt the chat if there are any potentially harmful interactions. At the end of the call, the safety supervisor will discuss with the patient and correct any errors, hallucinations, or problems with the AI. The patient's PCP will receive both a summary and a transcript of the chat prior to their appointment. The patient will then proceed to their urgent care appointment as previously scheduled. Four weeks after the visit, the researchers will perform a chart review to extract a "ground truth" diagnosis from the urgent care visit, if possible. As this is a pilot study, the primary endpoint will be recruitment; the target is between 100 to 200 patients and the study will continue until saturation of different diagnoses has been reached.
Beth Israel Deaconess Medical Center is the lead sponsor of 560 studies on the registry; 80 are open to participants now.
Of its 75 completed or terminated interventional studies of FDA-regulated products, 61 (81%) have results posted.
Counted across the registry records on this site, refreshed daily.
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.
Exclusion Criteria:
Other: Articulate Medical Intelligence Explorer (AMIE)
AMIE is an AI system for having clinical conversations with patients
Chat terminations
The researchers will collect the number of interruptions by the safety supervisor in response to safety concerns. There are four pre-specified interruption criteria; the researchers will connect the total number in each category, as well as a qualitative description of the type of error.
Time frame: Day 1
Patient-centered evaluation of clinical dialogue
The researchers will use the General Medical Council Patient Questionnaire (GMCPQ) standardized rubric to rate the quality of clinical dialogue.
Time frame: Day 3
Clinical skills-based assessment of clinical dialogue
The researchers will use the Practical Assessment of Clinical Examination Skills (PACES) standardized rubric to rate the quality of clinical dialogue.
Time frame: Day 3
Communication skills evaluation of clinical dialogue
The researchers will use the Patient-Centered Communication Best Practice (PCCBP) standardized rubric to rate the quality of clinical dialogue.
Time frame: Day 3
Patient satisfaction pre-AMIE encounter
Patients will receive a pre-AMIE encounter questionnaire.
Time frame: Day 1
Patient satisfaction post-AMIE encounter
Patients will receive a post-AMIE encounter questionnaire.
Time frame: Day 1
PCP satisfaction
The researchers will collect a post-encounter questionnaire from the patient's PCP, asking about views on AI in healthcare and how AMIE interaction may have changed the in-person visit.
Time frame: Day 3
Patient satisfaction post-PCP encounter
Patients will receive a post-PCP encounter questionnaire.
Time frame: Day 3
Semi-structured interviews of patients
The researchers will perform semi-structured interviews of select patients participating in the study.
Time frame: Up to 8 weeks
Diagnostic accuracy
The researchers will compare AMIE's differential diagnosis to the final diagnosis.
Time frame: Up to 4 weeks
Management plan quality
The researchers will compare AMIE's management plan to the final management plan using the Management Reasoning Essential Key Features (MXEKF) rubric.
Time frame: Up to 4 weeks
Semi-structured interviews of PCPs
The researchers will complete semi-structured interviews with all of the PCPs participating in the study.
Time frame: Up to 8 weeks
Plan to share: No
No publications or documents are linked to this record.
This study is completed, as verified in May 2025. You cannot join it, but the record below documents what was studied.
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Beth Israel Deaconess Medical Center