- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04972331
Automated AI Voice Calls for Postoperative Follow-up After Arthroscopic Shoulder Instability Surgery (FOLAI)
February 18, 2026 updated by: Institut de Chirurgie Reparatrice Locomoteur et Sports
Automated AI Voice Calls for Postoperative Orthopedic Follow-up: A Randomized Trial of SMS Pre-notification and Blinded Validation of PROM Capture.
This prospective, single-center randomized clinical trial evaluates the technical efficacy, accuracy, and operational performance of an automated conversational artificial intelligence (AI) voice agent for postoperative follow-up after arthroscopic shoulder instability surgery.
The study examines whether SMS pre-notification improves survey completion during the first automated outbound call and assesses the accuracy of AI-captured patient-reported outcomes compared with blinded human review.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Participants who underwent arthroscopic shoulder instability surgery at least one year prior were contacted using an automated AI voice agent to collect standardized postoperative outcomes.
Patients were randomized 1:1 to receive an SMS pre-notification prior to the first automated call or no pre-notification.
The AI agent conducted structured interviews and classified call outcomes using a prespecified taxonomy.
A hybrid protocol combining automated outbound calls, inbound callbacks, and targeted human follow-up was implemented to maximize data capture while minimizing resource use.
All completed calls were independently audited by a blinded human reviewer to assess agreement with AI-extracted outcomes.
Study Type
Interventional
Enrollment (Actual)
310
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 Locations
-
-
-
Nice, France, 06000
- ICR Clinique Kantys Centre
-
-
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
30 years to 65 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion:
- Age ≥18 years
- History of arthroscopic shoulder instability surgery
- Minimum postoperative follow-up of 12 months
- Valid telephone contact information
Exclusion:
- Previous ipsilateral surgery
- Non-consent
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: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: CONTROL
No Pre-notification
|
Participants received an SMS text message approximately 2 hours before the first automated outbound call.
|
|
Experimental: INTERVENTION
SMS Pre-notification
|
Participants received no SMS prior to the first automated outbound call.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Survey completion during the first automated outbound call
Time Frame: 1 week
|
Proportion of participants who completed the automated survey during the first outbound call attempt.
|
1 week
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Survey completion within the first attempt window (including inbound callbacks)
Time Frame: 1 week
|
Completion during or following the first outbound call, including patient-initiated inbound callbacks.
|
1 week
|
|
Call outcome distribution
Time Frame: 1 week
|
Classification of call outcomes using a prespecified taxonomy
|
1 week
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Chair: Christophe Trojani, MD,PhD, ICR-Nice
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Li J, Zhang Y, Zhang Z, Zhou Y, Gao Y, Li X, Fan S. A randomized controlled trial of a WeChat-based artificial intelligence agent for postoperative care in orthopedic patients. NPJ Digit Med. 2026 Jan 17;9(1):105. doi: 10.1038/s41746-025-02269-8.
- Dal Grande E, Chittleborough CR, Campostrini S, Dollard M, Taylor AW. Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey: An Experimental Study. PLoS One. 2016 Feb 26;11(2):e0150231. doi: 10.1371/journal.pone.0150231. eCollection 2016.
- Nayak A, Vakili S, Nayak K, Nikolov M, Chiu M, Sosseinheimer P, Talamantes S, Testa S, Palanisamy S, Giri V, Schulman K. Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes: A Randomized Clinical Trial. JAMA Netw Open. 2023 Dec 1;6(12):e2340232. doi: 10.1001/jamanetworkopen.2023.40232.
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 (Actual)
January 27, 2026
Primary Completion (Actual)
February 6, 2026
Study Completion (Actual)
February 13, 2026
Study Registration Dates
First Submitted
July 15, 2021
First Submitted That Met QC Criteria
July 15, 2021
First Posted (Actual)
July 22, 2021
Study Record Updates
Last Update Posted (Actual)
February 20, 2026
Last Update Submitted That Met QC Criteria
February 18, 2026
Last Verified
February 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2025-190920-01
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
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