- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06836258
Effect of AI Assisted Documentation in Primary Health Care on Time Saving, Patient Satisfaction and Health Care Provider Satisfaction
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
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Espoo, Nummela, Kirkkonummi, Finland
- Western Uusimaa Welbeing services county
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
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
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
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- GA-RCT-1
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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.
Clinical Trials on AI-assisted Documentation
-
National Yang Ming Chiao Tung University HospitalNot yet recruitingImplementation Research | Artificial Intelligence (AI) | Nursing Documentation BurdenTaiwan
-
Zhongshan Ophthalmic Center, Sun Yat-sen UniversityNot yet recruitingMedical Education | AI-Assisted Academic Writing | Narrative Review WritingChina
-
Eva KlappeCompletedQuality of Health Care | Humans | Clinical Decision-Making | Evidence-Based Practice | Decision Making, Computer-assisted | Medical Records, Problem-Oriented | Data Accuracy | Documentation / Standards | Documentation / Statistics & Numerical Data | Forms and Records Control / Standards | International Classification...Netherlands
-
University of FloridaCompletedQuality/Accuracy of Physician Documentation | Efficiency of Physician DocumentationUnited States
-
Mashhad University of Medical SciencesCompleted
-
Johns Hopkins UniversityCompleted
-
Wake Forest University Health SciencesHieu Nguyen, MS - Biostatician; McKenzie Isreal, MPH - project manager; Casey...CompletedAutomated Clinical DocumentationUnited States
-
University of SaskatchewanCompletedClinical Documentation | Artifical IntelligenceCanada
-
University of Wisconsin, MadisonRecruiting
-
National Health Research Institutes, TaiwanTri-Service General Hospital; Academia Sinica, Taiwan; Fu Jen Catholic UniversityCompletedVegetable Signature Documentation With Metabolomic Technique
Clinical Trials on AI assisted documentation
-
University of Colorado, DenverActive, not recruiting
-
Shanghai East HospitalNot yet recruiting
-
Pedro Angelo Basei de PaulaUniversidade Federal do ParanáRecruitingAmbulatory Care | Physician-Patient Relations | Burnout, Professionals | Medical Records Systems, ComputerizedBrazil
-
Fudan UniversityRecruiting
-
Ismail GögenurHolbaek Sygehus; Naestved Hospital; Nykøbing Falster County Hospital; Slagelse...Active, not recruitingColorectal Neoplasms | Colorectal Cancer | Colorectal AdenomaDenmark
-
Zhongshan Ophthalmic Center, Sun Yat-sen UniversityNot yet recruitingMedical Education | AI-Assisted Academic Writing | Narrative Review WritingChina
-
Fenerbahce UniversityNot yet recruitingAnxiety | Patient Satisfaction | Artificial Intelligence (AI) | Gynecological Examination
-
University of Bari Aldo MoroRecruitingMaxillary Cyst | Mandibular CystItaly
-
Wuerzburg University HospitalCompleted
-
Royal North Shore HospitalRecruitingArtificial Intelligence | Deep Learning | Radiation Therapy | Segmentation | ContouringAustralia