Effect of AI Assisted Documentation in Primary Health Care on Time Saving, Patient Satisfaction and Health Care Provider Satisfaction

NCT06836258 | Active Not Recruiting

• 1 other identifier: GA-RCT-1
• Study Type: interventional
• Target: 100
• Locations: 1 country
• Sites: 1

Brief Summary

Background There is currently no research evidence from randomized trial settings on the effectiveness of AI-assisted documentation. The aim of this study is to provide evidence regarding cost-effectiveness, professional experience, and patient experience. Design Physician consultations participating in the study are randomized into AI-assisted and traditional documentation groups in a 1:1 repeated crossover design. The goal is to include approximately 1,000 consultations per group. Methods Professionals will be asked to provide their own assessment of potential time savings, and the time spent on documentation will be measured using technical data from the documentation tools (cost-effectiveness). Additionally, professionals will complete baseline and follow-up surveys (professional experience), and patients will be sent a survey following the consultation (patient experience).

Conditions

AI-assisted Documentation

Keywords

AI; documentation; Effectiveness

Outcome Measures

Primary Outcomes (1)

• Time saved using AI-assisted documentation

  The documentation platform will measure time used for documentation of the appointment for both AI-assisted and regular documentation. For each appointment separately, from the moment the patient leaves the appointment until the documentation is finished and saved to the patient records.

  From enrollment until the of study (approx two months).

Secondary Outcomes (7)

• Subjective time saving in documentation due to AI-assisted documentation

  Assessed once a day after the days appointments and records have been completed through study completion, expected 2 months..

• Clinician satisfaction questionnaire

  At the end of the study (expected two months)

• Clinician satisfaction by Net Promotor Score (NPS)

  At the end of the study (expected two months)

• Clinician satisfaction by willingness to continue with the tool

  At the end of the study (expected two months)

• Patient satisfaction by Net Promotor Score (NPS)

  Immediately after the randomized appointment

Study Arms (1)

AI-assisted documentation vs regular documentation

OTHER

All subjects (clinicians) will be in a single arm. However, appointmets of each clinican will be randomized into AI-assisted and traditional documentation groups in 1:1.

Other: AI assisted documentation

Interventions

AI assisted documentation OTHER

This study will use Gosta Aide AI-assisted documentation platform

AI-assisted documentation vs regular documentation

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• Clinician practices at a site in Western Uusimaa wellbeing services county where AI-assisted documentation tool is available

You may not qualify if:

• none
• The study will include all acute and non-acute visits for the enrolled clinician. The study excludes sector-specific work and specialized consultations, such as maternity clinics, memory clinics, intellectual disability consultations, as well as non-Finnish-language consultations and interpreter-assisted consultations. The system has been primarily designed to monitor discussions between two individuals, and therefore, consultations where a guardian or companion accompanies the patient are also excluded from the study.

Sponsors & Collaborators

• Helsinki University Central Hospital: lead
• University of Helsinki: collaborator
• Western Uusimaa Welbeing Services county: collaborator

Study Sites (1)

Western Uusimaa Welbeing services county

Espoo, Nummela, Kirkkonummi, Finland

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: CROSSOVER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: MD, PhD, MSc

Model Details: Single-arm repeated crossover design

Study Record Dates

• First Submitted: January 22, 2025
• First Posted: February 20, 2025
• Study Start: March 1, 2025
• Primary Completion: September 1, 2025
• Study Completion: November 1, 2025
• Last Updated: August 14, 2025

Record last verified: 2025-01

Data Sharing

• IPD Sharing: Will not share

Locations

FI (1)