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

Официальное название

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

Обзор

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.

Вмешательства

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

Первичные конечные точки

• Comparison of patient-initiated inquiry rates between AI-App and Control-App [Срок оценки: From registration to the end of the 3-day outpatient postoperative follow-up]

Вторичные конечные точки (3)

• Engage with the AI-driven app [Срок оценки: From registration to the end of the 3-day outpatient postoperative follow-up]
• Assessment patient satisfaction [Срок оценки: From registration to the end of the 3-day outpatient postoperative follow-up]
• Adherence between the Control-App and AI-App [Срок оценки: From registration to the end of the 3-day outpatient postoperative follow-up]

Критерии участия

Критерии включения

• 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.

Критерии исключения

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

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение

Рандомизированное

Модель

Параллельные группы

Маскирование

Простое слепое

Основная цель

Организация здравоохранения

Центры проведения

Чили · 1 центр

• Region Metropolitana de Chile — Santiago

Публикации

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• Miller HN, Voils CI, Cronin KA, Jeanes E, Hawley J, Porter LS, Adler RR, Sharp W, Pabich S, Gavin KL, Lewis MA, Johnson HM, Yancy WS Jr, Gray KE, Shaw RJ. A Method to Deliver Automated and Tailored Intervention Content: 24-month Clinical Trial. JMIR Form Res. 2022 Sep 6;6(9):e38262. doi: 10.2196/38262. PMID 36066936
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• 2. Usability Measurement of Mobile Applications with System Usability Scale (SUS) - Aycan Kaya, Reha Ozturk and Cigdem Altin Gumussoy

Идентификаторы

NCT: NCT07510425 · 250312009

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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