Feasibility Study of a Conversational Chatbot for Outpatient Postoperative Follow-up in Otorhinolaryngology (ENT): Acceptability, Patterns of Use, and Patient Experience. (ORL-CareBOT)

October 30, 2026 updated by: Fondation Hôpital Saint-Joseph

Artificial intelligence (AI), and particularly large language models (LLMs), is playing an increasingly important role in medical practice by facilitating documentation, data analysis, and communication with patients. These tools may improve access to medical information and reduce certain repetitive tasks; however, their use remains limited by risks of errors, hallucinations, variability in responses, and the lack of evaluation in real-world healthcare settings.

In the field of patient-provider communication, several studies have shown that AI-generated responses may be perceived as being as relevant as, or even more empathetic and clearer than, those provided by physicians. However, these findings are based predominantly on simulated scenarios and do not allow conclusions regarding the safety of autonomous use in clinical practice.

Managing patient inquiries outside scheduled consultations represents a substantial workload for healthcare teams. Generative AI could help address this demand, but its implementation requires medical oversight and rigorous safety evaluation.

The postoperative ENT setting provides a relevant area for investigation, as patients frequently experience symptoms that can be difficult to interpret, such as pain, bleeding, or wound-healing complications. A conversational agent could provide consistent responses and continuous accessibility; however, it should never replace on-call medical services. Its primary requirement is the ability to correctly identify situations requiring prompt or urgent medical assessment.

With this objective, a postoperative chatbot was developed using ChatGPT-4 through a secure Retrieval-Augmented Generation (RAG) architecture. Its knowledge base was restricted to recommendations from the French National Authority for Health (HAS), the French Society of Otorhinolaryngology (SFORL), and the PubMed literature in order to improve response reliability. An internal feasibility study yielded encouraging results: 68% of responses were rated as good to excellent by ENT experts, with writing quality and completeness sometimes exceeding those of practicing physicians, although clinicians remained superior in the nuanced assessment of clinical risk.

The objective of the present study is to evaluate the feasibility and acceptability of this ENT postoperative follow-up chatbot among 100 ambulatory surgery patients treated at the Arthur Vernes Institute. The primary aim is to assess the patient experience before evaluating any potential impact on healthcare utilization or medico-economic outcomes.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

100

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patient aged 18 years or older
  • Patient undergoing outpatient ENT surgery at the Arthur Vernes Institute
  • Patient covered by a health insurance scheme
  • French-speaking patient
  • Patient who has provided free, informed, and explicit oral consent

Exclusion Criteria:

  • Patient already enrolled in a Category 1 interventional research protocol (RIPH 1)
  • Patient without access to equipment enabling use of the chatbot (smartphone or computer)
  • Patient under guardianship or curatorship
  • Patient deprived of liberty
  • Patient under judicial protection (safeguard of justice)
  • Pregnant or breastfeeding patient

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Post op Care

at D30 post surgery, patients will complete 2 scores : Lickert scale and SUS

Patient will be given access to a post surgery Chat Bot. All the questions asked to the chat bot will be analyzed. At D30 patients will complete a likert scale (0 to 5) and the System usabilty score (0 to 100)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Determine the effective use of the chatbot
Time Frame: up to 30days post surgery

Proportion of patients having use the chat bot at least once within the 30Days post surgery

up to 30days post surgery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Describe how users can interact with the chatbot.
Time Frame: up to 30days post surgery

number of interaction with the chatbot, topic of the questions

up to 30days post surgery
Assess patient acceptance of the chatbot
Time Frame: 30days post surgery

System acceptability scale (from 0 to 100)

30days post surgery
Assess patient satisfaction
Time Frame: 30days post surgery

likert scale (1 to 5)

30days post surgery
Assess the organizational impact
Time Frame: 30days post surgery

number of phone call made during the 30days follow up period after surgery

30days post surgery
Describe clinical events occurring during the follow-up period
Time Frame: 30days post surgery

number of out patient visit and hospital stay during the 30days post surgery follow up period

30days post surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

December 1, 2026

Primary Completion (Estimated)

April 1, 2027

Study Completion (Estimated)

April 1, 2027

Study Registration Dates

First Submitted

October 30, 2026

First Submitted That Met QC Criteria

October 30, 2026

First Posted (Actual)

November 5, 2026

Study Record Updates

Last Update Posted (Actual)

November 5, 2026

Last Update Submitted That Met QC Criteria

October 30, 2026

Last Verified

October 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 853_ORL-CareBOT

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.