- ICH GCP
- US Clinical Trials Registry
- Klinisk utprøving NCT07641478
A Large Language Model in Outpatient Care
A Prospective Randomized Controlled Trial of a Large Language Model in Outpatient Care
The goal of this clinical trial is to learn how the use of a large language model (LLM) based tool affects outpatient clinical care in adult patients attending general hospital outpatient clinics. The main questions it aims to answer are:
Does the use of an LLM-based tool affect the efficiency of outpatient visits? Does the use of an LLM-based tool affect the experience of doctors and patients during outpatient care?
Researchers will compare outpatient visits supported by an LLM-based tool to standard outpatient visits without such a tool, to see whether and how the tool influences the care process and the experiences of doctors and patients.
Participants will:
Take part in outpatient visits that may or may not involve an LLM-based tool, depending on their assigned group Complete a short questionnaire about their visit experience after the consultation
Studieoversikt
Status
Forhold
Intervensjon / Behandling
Studietype
Registrering (Antatt)
Fase
- Ikke aktuelt
Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Voksen
- Eldre voksen
Tar imot friske frivillige
Beskrivelse
Inclusion Criteria:
Doctors:
- Licensed physicians providing outpatient consultations at a participating study hospital
- Expected to complete a sufficient number of outpatient clinic sessions during the study period
- Provides written informed consent
Patients:
- Age 18 years or older
- Attending an outpatient consultation with a participating doctor
- Able to interact with the tool using an internet-connected device such as a smartphone
- Provides written informed consent
Exclusion Criteria:
Patients:
- Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction
- Declines to provide informed consent
Studieplan
Hvordan er studiet utformet?
Designdetaljer
- Primært formål: Helsetjenesteforskning
- Tildeling: Randomisert
- Intervensjonsmodell: Crossover-oppdrag
- Masking: Enkelt
Våpen og intervensjoner
Deltakergruppe / Arm |
Intervensjon / Behandling |
|---|---|
|
Ingen inngripen: Standard Outpatient Care (No AI)
Neither doctors nor patients use a large language model based tool.
Outpatient consultations and documentation are conducted following routine clinical practice.
|
|
|
Eksperimentell: Outpatient Care With a Large Language Model Tool
Before the consultation, patients complete an AI-based pre-consultation interaction.
During the visit, a large language model based tool is available to support the outpatient consultation process.
Doctors may refer to the tool during the visit.
|
A large language model based tool is introduced into the outpatient consultation workflow to support the consultation and documentation process.
|
|
Eksperimentell: Outpatient Care With a Large Language Model Tool and Workflow Support
Before the consultation, patients complete an AI-based pre-consultation interaction.
During the visit, a large language model based tool is used together with additional workflow support to integrate the tool's output into the outpatient consultation process.
|
Additional workflow support is provided to integrate the output of the large language model based tool into the consultation process, approximating a more integrated deployment of the tool.
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Duration of the Outpatient Consultation
Tidsramme: During the outpatient visit
|
Time of the outpatient consultation, measured in milliseconds
|
During the outpatient visit
|
|
Doctor-Reported Efficiency of the Consultation
Tidsramme: Immediately after the consultation
|
Doctor's self-rated efficiency of the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high), with higher scores indicating higher perceived efficiency.
|
Immediately after the consultation
|
|
Doctor-Reported Satisfaction With the Consultation Process
Tidsramme: Immediately after the consultation
|
Doctor's satisfaction with the consultation process, measured on a 5-point Likert scale (1 = very low to 5 = very high), with higher scores indicating higher satisfaction.
|
Immediately after the consultation
|
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Doctor-Reported Efficiency of Obtaining Patient Information
Tidsramme: Immediately after the consultation
|
Doctor's self-rated efficiency in obtaining the patient's clinical information (such as symptoms, history, prior examinations) during the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate higher efficiency.
|
Immediately after the consultation
|
|
Doctor-Reported Cognitive Effort in Clinical Decision-Making
Tidsramme: Immediately after the consultation
|
Doctor's self-rated cognitive effort invested in clinical decision-making during the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater effort.
|
Immediately after the consultation
|
|
Doctor-Reported Burden of Clinical Documentation
Tidsramme: Immediately after the consultation
|
Doctor's self-rated burden of completing the outpatient medical record for the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater burden.
|
Immediately after the consultation
|
|
Doctor's Intention to Continue Using the Tool
Tidsramme: Within 1 week after the participating doctor completes all enrolled consultations
|
Doctor's intention to continue using the large language model based tool in routine practice, measured on a 5-point Likert scale (1 = strongly unwilling to 5 = strongly willing); higher scores indicate stronger intention.
|
Within 1 week after the participating doctor completes all enrolled consultations
|
|
Patient Trust in the Physician
Tidsramme: Immediately after the consultation
|
Patient's level of trust in the physician after the visit, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater trust.
|
Immediately after the consultation
|
|
Patient Satisfaction With the Visit
Tidsramme: Immediately after the consultation
|
Patient's satisfaction with the visit, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater satisfaction.
|
Immediately after the consultation
|
|
Patient-Perceived Physician Attentiveness
Tidsramme: Immediately after the consultation
|
Patient-perceived attentiveness of the physician during the visit, assessed by a multi-item measure and reported as a composite score on a 1-5 scale; higher scores indicate greater perceived attentiveness.
|
Immediately after the consultation
|
|
Patient Satisfaction With the AI Pre-Consultation (Arm 2 and Arm 3 )
Tidsramme: Immediately after the consultation
|
Patient's satisfaction with the AI-based pre-consultation interaction, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater satisfaction.
Assessed only in Arm 2 and Arm 3.
|
Immediately after the consultation
|
|
Patient's Intention to Use AI Pre-Consultation in the Future (Arm 2 and Arm 3)
Tidsramme: Immediately after the consultation
|
Patient's intention to use AI-based pre-consultation again in the future, measured on a 5-point Likert scale (1 = strongly unwilling to 5 = strongly willing); higher scores indicate stronger intention.
Assessed only in Arm 2 and Arm 3.
|
Immediately after the consultation
|
Samarbeidspartnere og etterforskere
Sponsor
Studierekorddatoer
Studer hoveddatoer
Studiestart (Antatt)
Primær fullføring (Antatt)
Studiet fullført (Antatt)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Andre studie-ID-numre
- THU-01-2026-0055
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