NCT07510425

Artificial Intelligence vs. Automated Messaging for Continuous Regional Analgesia Follow-up

Postoperative Follow-up Via Artificial Intelligence-Based Application Versus Automated Messaging Application in Patients Receiving Continuous Regional Analgesia: A Comparative Study

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 166 (estimated)
• Sponsor: Pontificia Universidad Catolica de Chile · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Accepted

Summary

Effective postoperative analgesia is critical for patient recovery, satisfaction, and the reduction of hospital stay duration. Continuous peripheral nerve blocks (CPNB) via catheter placement represent a cornerstone in achieving these objectives. Traditionally, follow-up for these patients has relied on standardized telephone protocols conducted by trained personnel. Original previous research in 2024 demonstrated that an automated text-messaging platform was feasible and maintained high patient satisfaction, it resulted in a significantly higher rate of unscheduled patient-initiated inquiries (28.3% vs. 6.4%) compared to traditional phone calls, likely due to a lack of adaptive response capabilities. Objective: This study aims to evaluate an enhanced technological iteration of our follow-up platform. By integrating an Artificial Intelligence (AI) interface trained on specialized clinical protocols, the new system is designed to provide automated, personalized and adaptive recommendations to patients. Methods and Intervention: The study will compare the effectiveness of this AI-driven platform against the previous version of the non-adaptive automated messaging system. The primary outcome is to compare the number of patient-initiated inquiries (re-consultations). Secondary outcomes include patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three. Impact: The investigators hypothesize that the integration of AI will optimize human resources and improve patient autonomy without compromising safety or satisfaction, ultimately providing a scalable model for postoperative regional analgesia monitoring.

Conditions

• Anesthesia
• Anesthesia , Analgesia
• Regional Anesthesia
• Regional Anesthesia Success

Interventions

Type	Name	Description
OTHER	AI-driven follow-up platform	The study will compare the effectiveness of this AI-driven platform against the previous version of the non-adaptive automated messaging system. The primary outcome is to compare the number of patient-initiated inquiries (re-consultations). Secondary outcomes include patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three.
OTHER	Satisfaction	Register patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three
OTHER	Adherence to the follow-up protocol	Register patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three
OTHER	Response rates from postoperative days one through three	Register patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three

Timeline

• Start date: 2026-04-01
• Primary completion: 2026-07-01
• Completion: 2027-07-01
• First posted: 2026-04-03
• Last updated: 2026-04-03

Locations

1 site across 1 country: Chile