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NCT Number: NCT07742618

Effectiveness of AI-Assisted Clinical Documentation

Effectiveness of AI-assisted clinical documentation tool (AI scribes) in healthcare services using staggered difference-in-differences and multiple sources of data including registers, questionnaires and interviews. Primary outcomes include completion of statutory health check-ups, working hours, time use of nurses, secondary outcomes include subjective nurse job satisfaction, job burden and perceived quality of work and time use.

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Key information

Conditions

Effectiveness of AI-assisted Clinical Documentation Tool Healthy

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Member of study population: nurses working at wellchild or student health care services of Western-Uusimaa Wellbeing Services County.

Exclusion criteria

  • Nurse works in several teams.
  • Under 18 years.

Treatment and study plan

AI clinical documentation tool

Device

AI clinical documentation tool is adopted starting at different assigned time points by eight subgroups. Early vs later adopters are compared using staggered difference-in-differences design. The order of subgroups is randomized for 7/8 subgroups.

Primary outcomes

  1. Ratio of completed statutory health check-ups

    Time frame: 7 months.

  2. Number of completed statutory health check-ups

    Time frame: 7 months.

  3. Working Hours

    Time frame: 7 months.

    Number of working hours (average and dynamic measures)

Secondary outcomes

  1. Time use

    Time frame: 7 months.

    Questionnaire. Time used in documentation and other tasks (self-assessed). "How much time did you spend on each activity during the preceding workday (on average per client)?

    • Documentation (record-keeping / charting)
    • Client contact (direct client encounters / face-to-face client interaction)
    • Other (e.g. special responsibilities, prescriptions)"

  2. Job Satisfaction

    Time frame: 7 months.

    Questionnaire:

    • How satisfied have you been with your work during the preceding workday?

    Very dissatisfied Somewhat dissatisfied Neither dissatisfied nor satisfied Somewhat satisfied Very satisfied

    • How often has each of the following clearly disturbed, worried, or burdened you at work during the preceding workday?
    • Constant time pressure and the burden of unfinished tasks

    Very rarely or never Fairly rarely Occasionally Fairly often Very often or constantly

    • Too little time to do the work properly

    Very rarely or never Fairly rarely Occasionally Fairly often Very often or constantly

    • How well do you feel you performed your work tasks (from the patient's perspective) during the preceding workday?

    Very dissatisfied Fairly dissatisfied Neither dissatisfied nor satisfied Fairly satisfied Very satisfied

Study contacts

Contact information is provided by the study sponsor or research team.

Laura Jernström, PhD

CONTACT

[email protected]

+358413629767

Sponsors and collaborators

Lead sponsor

University of Turku

Other

Collaborators

  • Helsinki University Hospital, Finland
  • University of Helsinki

Registry information

Official study title

Effectiveness of AI-Assisted Clinical Documentation: Evidence From a Staggered Rollout at the Western Uusimaa Wellbeing Services County

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Aug 3, 2026
Registry last updated
Aug 3, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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