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NCT07510425
Artificial Intelligence vs. Automated Messaging for Continuous Regional Analgesia Follow-up
NA trial testing AI-driven follow-up platform in Anesthesia in 166 participants. Not yet recruiting.
1 July 2026
Quick facts
| Lead sponsor | Pontificia Universidad Catolica de Chile |
|---|---|
| Phase | NA |
| Status | Not yet recruiting |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | health services research |
| Enrollment | 166 |
| Start date | 1 April 2026 |
| Primary completion | 1 July 2026 |
| Estimated completion | 1 July 2027 |
| Sites | 1 location across Chile |
Drugs / interventions tested
- AI-driven follow-up platform
- Satisfaction
- Adherence to the follow-up protocol
- Response rates from postoperative days one through three
Conditions studied
- Anesthesia — all drugs for Anesthesia →
- Anesthesia , Analgesia — all drugs for Anesthesia , Analgesia →
- Regional Anesthesia — all drugs for Regional Anesthesia →
- Regional Anesthesia Success — all drugs for Regional Anesthesia Success →
Sponsor
Pontificia Universidad Catolica de Chile — full company profile →
Who can join
Adults 18 to 75, any sex, with Anesthesia or Anesthesia , Analgesia. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07510425
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other Pontificia Universidad Catolica de Chile trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07510425 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Pontificia Universidad Catolica de Chile
- Last refreshed: 3 April 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07510425.
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