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AnesthesiaNCT07510425

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

A study testing AI-driven follow-up platform, Satisfaction and Adherence to the follow-up protocol in people with Anesthesia and Anesthesia , Analgesia, run by Pontificia Universidad Catolica de Chile at 1 site in Chile.

Not yet recruiting

Opening soon. The study is approved but enrolment has not started yet. Sites may already take enquiries.

Sites and contacts
Official record
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Trial 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. Read more about this study

Who is it for?
Ages 18 to 75 yearsHealthy volunteers can take part
What is being tested?
AI-driven follow-up platform, Satisfaction and Adherence to the follow-up protocol
Could I receive a placebo?
No, everyone receives an active treatment
How many people
166 participants
Where
1 siteChile
Study dates
1 Apr 2026to 1 Jul 2027
Phase
Interventional
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 75 years
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Who may be able to join

  • 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.

Who cannot join

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

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Felipe Yañez Herrera contact

+56988129267

feliyanezherrera@gmail.com

Pontificia Universidad Catolica de Chile contact

Chile1 site

  • Region Metropolitana de Chile

    Santiago

    Felipe Yañez Herrera, +5698129267, feliyanezherrera@gmail.com

Other trials in Chile

About this study

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

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.

Read more

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.

Being tested
AI-driven follow-up platform, Satisfaction, Adherence to the follow-up protocol, Response rates from postoperative days one through three
Keywords
Anesthesia, Regional Anesthesia, Continuous Nerve Block, Ambulatory, Outpatient follow-up
Medical subject headings
Agnosia

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • AI-driven follow-up platformOther

    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.

  • SatisfactionOther

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

  • Adherence to the follow-up protocolOther

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

  • Response rates from postoperative days one through threeOther

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

Study groups in NCT07510425
Study groupRoleWhat they receive
AI-AppExperimentalArtificial Intelligence-driven application
Receives: Other: AI-driven follow-up platform; Other: Satisfaction; Other: Adherence to the follow-up protocol; Other: Response rates from postoperative days one through three
Control-AppActive comparatorStandard automated messaging application
Receives: Other: Satisfaction; Other: Adherence to the follow-up protocol; Other: Response rates from postoperative days one through three

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Comparison of patient-initiated inquiry rates between AI-App and Control-App

    Comparison 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.

    Measured: From registration to the end of the 3-day outpatient postoperative follow-up

Secondary outcomes (3)

  1. Engage with the AI-driven app

    Proportion 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.

    Measured: From registration to the end of the 3-day outpatient postoperative follow-up

  2. Assessment patient satisfaction

    Assessment 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.

    Measured: From registration to the end of the 3-day outpatient postoperative follow-up

  3. Adherence between the Control-App and AI-App

    Comparative 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.

    Measured: From registration to the end of the 3-day outpatient postoperative follow-up

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted3 Apr 2026
  2. Study start1 Apr 2026 (estimated)
  3. Primary completion1 Jul 2026 (estimated)
  4. Study completion1 Jul 2027 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Health services research
Allocation
Randomised
Intervention model
Parallel groups
Model description
Interventional, prospective, randomized clinical trial.
Masking
Single blind
Who is masked
Participant
Enrolment
166 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07510425
Sponsor's protocol ID
250312009
Status last verified
Mar 2026
First submitted
24 Mar 2026
Last updated
3 Apr 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Semple JL, Sharpe S, Murnaghan ML, Theodoropoulos J, Metcalfe KA. Using a mobile app for monitoring post-operative quality of recovery of patients at home: a feasibility study. JMIR Mhealth Uhealth. 2015 Feb 12;3(1):e18. doi: 10.2196/mhealth.3929.

    PubMed 25679749

  • Pai B H P, Lai YH. Regional anesthesia and pain medicine. Reg Anesth Pain Med. 2022 Feb;47(2):144-145. doi: 10.1136/rapm-2021-102939. Epub 2021 Jul 5. No abstract available.

    PubMed 34226197

  • Perdomo-Pantoja A, Alomari S, Lubelski D, Liu A, DeMordaunt T, Bydon A, Witham TF, Theodore N. Implementation of an Automated Text Message-Based System for Tracking Patient-Reported Outcomes in Spine Surgery: An Overview of the Concept and Our Early Experience. World Neurosurg. 2022 Feb;158:e746-e753. doi: 10.1016/j.wneu.2021.11.051. Epub 2021 Nov 17.

    PubMed 34800733

  • 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.

    PubMed 36066936

  • Gessner D, Hunter OO, Kou A, Mariano ER. Automated text messaging follow-up for patients who receive peripheral nerve blocks. Reg Anesth Pain Med. 2021 Jun;46(6):524-528. doi: 10.1136/rapm-2021-102472. Epub 2021 Mar 1.

    PubMed 33649155

  • van der Velde M, Valkenet K, Geleijn E, Kruisselbrink M, Marsman M, Janssen LM, Ruurda JP, van der Peet DL, Aarden JJ, Veenhof C, van der Leeden M. Usability and Preliminary Effectiveness of a Preoperative mHealth App for People Undergoing Major Surgery: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth. 2021 Jan 7;9(1):e23402. doi: 10.2196/23402.

    PubMed 33410758

  • Highland KB, Tran J, Edwards H, Bedocs P, Suen J, Buckenmaier CC. Feasibility of App-Based Postsurgical Assessment of Pain, Pain Impact, and Regional Anesthesia Effects: A Pilot Randomized Controlled Trial. Pain Med. 2019 Aug 1;20(8):1592-1599. doi: 10.1093/pm/pny288.

    PubMed 30726985

  • 2. Usability Measurement of Mobile Applications with System Usability Scale (SUS) - Aycan Kaya, Reha Ozturk and Cigdem Altin Gumussoy

  • Ooi G, Schwenk ES, Torjman MC, Berg K. A Randomized Trial of Manual Phone Calls Versus Automated Text Messages for Peripheral Nerve Block Follow-Ups. J Med Syst. 2021 Jan 4;45(1):7. doi: 10.1007/s10916-020-01699-z.

    PubMed 33404791

Questions about this trial

What is this clinical trial studying?

A study testing AI-driven follow-up platform, Satisfaction and Adherence to the follow-up protocol in people with Anesthesia and Anesthesia , Analgesia, run by Pontificia Universidad Catolica de Chile at 1 site in Chile.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 6 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: opening soon, as of the sponsor's last update on 3 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Chile. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Felipe Yañez Herrera (+56988129267, feliyanezherrera@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Comparison of patient-initiated inquiry rates between AI-App and Control-App (time frame: From registration to the end of the 3-day outpatient postoperative follow-up). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT07510425, which also lists 9 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Apr 2026; AzTrials last refreshed its copy on 26 Oct 2026.

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