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

NCT06836258 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2025-08-14

No results posted yet for this study

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

Interventions

OTHER

AI assisted documentation

This study will use Gosta Aide AI-assisted documentation platform

Sponsors & Collaborators

  • University of Helsinki

    collaborator OTHER

  • Western Uusimaa Welbeing Services county

    collaborator UNKNOWN

  • Helsinki University Central Hospital

    lead OTHER

Study Design

Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
CROSSOVER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2025-09-30
Completion
2025-11-30

Countries

  • Finland

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06836258 on ClinicalTrials.gov