Relisten: Enhancing Care Quality and Saving Time With Automatic Clinical Note Generation in Primary Care

NCT06618092 | Completed

• 1 other identifier: 23/286-P
• Study Type: interventional
• Target: 500
• Locations: 1 country
• Sites: 6

Brief Summary

Background: Relisten is an artificial intelligence-based software developed by Recog Analytics that improves patient care by facilitating more natural interactions between healthcare professionals and patients. Relisten extracts relevant information from recorded conversations, structuring it in the medical record and sending it to the Health Information System after the professional\'s approval. This approach allows professionals to focus on the patient without the need to perform clinical documentation tasks. Method: This Proof of Concept (PoC) study is conducted as a multi-centre trial with the participation of several health professionals in Primary Care Centres (CAPs) of Amposta, Centelles, Artés, Sallent, Súria and the Consorci d\'Atenció Primària de Salut Barcelona Esquerra (CAPSBE). During the study, Relisten will be used in consultations under informed consent, followed by patient and professional surveys. Statistical analyses will be performed for each objective, using independent sample comparison tests according to normality evaluated with the Kolmogorov-Smirnov test and Lilliefors correction. The sample has been determined a priori to optimise the achievement of satisfactory results. Stratified statistical tests will also be performed to consider the variance between professionals. Discussion: The investigators expect an improvement in the quality of care perceived by patients and a significant reduction in the time spent taking clinical notes, with a saving of at least 30 seconds per visit. Although a high quality of the notes generated is expected, it is uncertain whether a significant improvement over the control group, which is already expected to have high quality notes, will be demonstrated.

Conditions

Primary Care

Keywords

Clinical notes; ambient technology; artificial intelligence; digital health; voice recognition; primary care

Outcome Measures

Primary Outcomes (2)

• Relisten used

  Whether Relisten has been used in the consultation (YES/NOT)

  Day 1

• Time saved

  Time saved in consultation in minutes

  Day 1

Secondary Outcomes (1)

• Satisfaction surveys

  Day 1

Study Arms (2)

Intervention

EXPERIMENTAL

Relisten

Device: Relisten

Control

NO INTERVENTION

Usual care

Interventions

Relisten DEVICE

Patients will be attended using Relisten

Intervention

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• To have signed the informed consent form.
• To carry out face-to-face medical and nursing consultations in Catalan and/or Castilian Spanish.
• To be over 18 years old.

You may not qualify if:

• Inability to understand the nature of the study.
• Not fluent in Catalan or Castilian Spanish.
• Not giving consent to be recorded.
• Existence of any technical failure in the recording (e.g., internet service downtime).

Sponsors & Collaborators

• Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina: lead
• Fundació TicSalut: collaborator
• Institut Català de la Salut: collaborator

Study Sites (6)

CAP Amposta

Amposta, Catalonia, Spain

Location

CAP Artès

Artès, Catalonia, Spain

Location

CAP les Corts

Barcelona, Catalonia, Spain

Location

CAP Centelles

Centelles, Catalonia, Spain

Location

CAP Sallent

Sallent, Catalonia, Spain

Location

CAP Súria

Súria, Catalonia, Spain

Location

Related Publications (1)

• Vidal-Alaball J, Alonso C, Heinisch DH, Castano A, Sanchez-Freire E, Benito Serrano ML, Ferrer Pascual C, Menacho I, Acosta-Rojas R, Cardona Gubert O, Farres Creus R, Armengol Alegre J, Martinez Querol C, Moreno-Martinez M, Gonfaus Font M, Narejos S, Gomez-Fernandez A. Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study. JMIR Res Protoc. 2025 Apr 7;14:e66232. doi: 10.2196/66232.

  PMID: 40193189 DERIVED

Study Officials

• Josep Vidal Alaball, MD, PhD

  Institut Català de la Salut / IDIAP Jordi Gol

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 12, 2024
• First Posted: October 1, 2024
• Study Start: July 1, 2024
• Primary Completion: December 31, 2024
• Study Completion: January 30, 2025
• Last Updated: February 21, 2025

Record last verified: 2024-09

Data Sharing

• IPD Sharing: Will not share

Locations

ES (6)