Postoperative Follow-up Via Artificial Intelligence-Based Application Versus Automated Messaging Application in Patients Receiving Continuous Regional Analgesia: A Comparative Study
Trial ID: NCT07510425
Status: NOT_YET_RECRUITING
Study type: INTERVENTIONAL
Phase: NA
Start date: 2026-04-01
Completion date: 2027-07-01
Sponsor: Pontificia Universidad Catolica de Chile
Conditions: Anesthesia; Anesthesia , Analgesia; Regional Anesthesia; Regional Anesthesia Success
Interventions: AI-driven follow-up platform; Satisfaction; Adherence to the follow-up protocol; Response rates from postoperative days one through three
Locations: Region Metropolitana de Chile
Countries: Chile
Enrollment: 166
Age range: 18 Years - 75 Years
Sex: ALL

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.

Eligibility criteria:
Inclusion Criteria:

* Patients aged between 18 and 75 years.
* Physical status classification ASA I or II.
* Scheduled for ambulatory surgical programs at UC Christus Health Network centers (Hospital Clínico, Clínica San Carlos de Apoquindo, or Centro Médico Santa Lucía).
* Patients receiving postoperative pain management via continuous peripheral nerve block (CPNB) with a perineural catheter and disposable infusion pump.
* Ownership and documented proficiency in operating a smartphone to access the mobile application.
* Provision of written informed consent.

Exclusion Criteria:

* Inability to understand or follow the digital monitoring protocol.
* Patients not meeting the age or ASA physical status requirements.

Outcomes:
Comparison of patient-initiated inquiry rates between AI-App and Control-App