Effect of AI Assisted Documentation in Primary Health Care on Time Saving, Patient Satisfaction a… (NCT06836258) | Clinical Trial Compass
Active — Not RecruitingNot Applicable
Effect of AI Assisted Documentation in Primary Health Care on Time Saving, Patient Satisfaction and Health Care Provider Satisfaction
Finland100 participantsStarted 2025-03-01
Plain-language 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).
Who can participate
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
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.
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Time saved using AI-assisted documentation
Timeframe: From enrollment until the of study (approx two months).