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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
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07510425
Enrollment
166
Registered
2026-04-03
Start date
2026-04-01
Completion date
2027-07-01
Last updated
2026-04-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

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

Keywords

Anesthesia, Regional Anesthesia, Continuous Nerve Block, Ambulatory, Outpatient follow-up

Brief 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.

Interventions

OTHERAI-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.

OTHERSatisfaction

Register patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three

OTHERAdherence to the follow-up protocol

Register patient satisfaction, adherence to the follow-up protocol, and response rates from postoperative days one through three

OTHERResponse 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

Sponsors

Pontificia Universidad Catolica de Chile
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Intervention model description

Interventional, prospective, randomized clinical trial.

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

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.

Design outcomes

Primary

MeasureTime frameDescription
Comparison of patient-initiated inquiry rates between AI-App and Control-AppFrom registration to the end of the 3-day outpatient postoperative follow-upComparison of patient-initiated inquiry rates between the Artificial Intelligence-driven application (AI-App) and the standard automated messaging application (Control-App) during ambulatory postoperative follow-up.

Secondary

MeasureTime frameDescription
Engage with the AI-driven appFrom registration to the end of the 3-day outpatient postoperative follow-upProportion of patients who successfully engage with the AI-driven application. This includes a cumulative analysis over the 3-day follow-up period and a granular day-to-day response analysis.
Assessment patient satisfactionFrom registration to the end of the 3-day outpatient postoperative follow-upAssessment and comparison of patient satisfaction scores between the AI-driven application group and the traditional telephone follow-up group, utilizing a standardized satisfaction scale survey in Spanish "Questionnaire of Satisfaction and Perceived Quality in Hospital Health Care of the Department of Studies and Development of the Superintendency of Health" (PQA). In this instrument, the patient was asked to respond using a five-point Likert scale. The extremes of the scale were labelled 'very poor' to 'definitely yes' depending upon the question. Patient responses to each PQA Likert scale and visual analogue questions were scored from 1 to 5. The performance score was defined as the proportion of patients with an unsatisfactory patient response. A quality index was calculated for each PQA question by multiplying the importance score against the performance score.
Adherence between the Control-App and AI-AppFrom registration to the end of the 3-day outpatient postoperative follow-upComparative analysis of patient adherence between the standard automated messaging application (Control-App) and the AI-driven application (AI-App). Adherence is defined as the successful completion of the response protocol during the three-day monitoring period.

Countries

Chile

Contacts

CONTACTFelipe Yañez Herrera
feliyanezherrera@gmail.com+56988129267
CONTACTPontificia Universidad Catolica de Chile
PRINCIPAL_INVESTIGATORFelipe Yañez Herrera

Pontificia Universidad Catolica de Chile

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 4, 2026