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

August 10, 2025 updated by: Ville Vartiainen, Helsinki University Central Hospital

A Randomized Clinical Trial on the Effectiveness of AI-Assisted Documentation

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).

Study Overview

Status

Active, not recruiting

Intervention / Treatment

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

100

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Espoo, Nummela, Kirkkonummi, Finland
        • Western Uusimaa Welbeing services county

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

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

Exclusion Criteria:

  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: N/A
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: AI-assisted documentation vs regular documentation
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.
This study will use Gosta Aide AI-assisted documentation platform

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time saved using AI-assisted documentation
Time Frame: From enrollment until the of study (approx two months).
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Subjective time saving in documentation due to AI-assisted documentation
Time Frame: Assessed once a day after the days appointments and records have been completed through study completion, expected 2 months..
Each clinician will give their subjective assessment the time saved or wasted due to AI tool per appointment (in minutes) after each day through study completion (approximately two months).
Assessed once a day after the days appointments and records have been completed through study completion, expected 2 months..
Clinician satisfaction questionnaire
Time Frame: At the end of the study (expected two months)
Clinicans will report their satisfaction by assessing the effect of AI tool to quality of documentation. The questionnaire includes three questions answered in 1-5 likert scale where 1 worst and 5 best outcome. The questions are "How has AI affected time used in documentation?" (1 = IIncreased the time spent on documentation significantly, 5 = Decreased the time spent on documentation significantly) "How has AI affected the quality of documentation?" (1 = Decreased the quality of documentation significantly, 5 = Increased the quality of documentation significantly) "How has AI affected patient safety?" (1 = Significantly compromised patient safety, 5 = Significantly improved patient safety)
At the end of the study (expected two months)
Clinician satisfaction by Net Promotor Score (NPS)
Time Frame: At the end of the study (expected two months)
Clinicans will report their satisfaction (regarding AI tool) by NPS. The question is stated "Would you recommend AI assisted documentation to your colleague?" and is assessed in scale 0-10 where 0 means would not recommend and 10 is would recommend extremely highly.
At the end of the study (expected two months)
Clinician satisfaction by willingness to continue with the tool
Time Frame: At the end of the study (expected two months)
Clinicans will report their satisfaction by assessing whether they would like to continue with the AI-tool or using regular method. The question is stated "In future, would you prefer to do clinical documentation with the now used AI-based tool or as you were doing previously without the AI-based tool?" (With AI-tool/Without AI-tool)
At the end of the study (expected two months)
Patient satisfaction by Net Promotor Score (NPS)
Time Frame: Immediately after the randomized appointment
Patient satisfaction will be assessed after each appointemnt using NPS. The patients who visit a participating clinician will receive a questionnaire including NPS once after each of their appointment. The scale is 0-10 where 0 is would not recommend the appointment at all and 10 would highly recommend the appointment.
Immediately after the randomized appointment
Patient satisfaction by Patient Enablement Instrument (PEI)
Time Frame: Immediately after the randomized appointment
Patient satisfaction will be assessed after each appointemnt using PEI questionnaire. The patients who visit a participating clinician will receive a questionnaire including PEI once after each of their appointment. Score ranges between 0-12 and higher score indicates better outcome for the patient.
Immediately after the randomized appointment
Patient satisfaction by The Patient Satisfaction Questionnaire Short Form (PSQ-18)
Time Frame: Immediately after the randomized appointment
Patient satisfaction will be assessed after each appointment using PSQ18 questionnaire. The patients who visit a participating clinician will receive a questionnaire including PSQ18 once after each of their appointment. Score ranges from 18 to 90 and higher score indicates worse patient experience.
Immediately after the randomized appointment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2025

Primary Completion (Estimated)

September 1, 2025

Study Completion (Estimated)

November 1, 2025

Study Registration Dates

First Submitted

January 22, 2025

First Submitted That Met QC Criteria

February 14, 2025

First Posted (Actual)

February 20, 2025

Study Record Updates

Last Update Posted (Actual)

August 14, 2025

Last Update Submitted That Met QC Criteria

August 10, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • GA-RCT-1

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Data contains sensitive information and cannot be shared due to Finnish research legislation

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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