Effectiveness of AI-Assisted Clinical Documentation
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI clinical documentation tool, AI clinical documentation tool.
- Who it may be relevant to
- Registry conditions: Effectiveness of AI-assisted Clinical Documentation Tool, Healthy. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Finland
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Effectiveness of AI-Assisted Clinical Documentation: Evidence From a Staggered Rollout at the Western Uusimaa Wellbeing Services County
Overview
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.
Interventions
- Device AI clinical documentation tool
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. - Device AI clinical documentation tool
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 outcome measures
- Ratio of completed statutory health check-ups [Time frame: 7 months.]
- Number of completed statutory health check-ups [Time frame: 7 months.]
- Working Hours [Time frame: 7 months.]
Secondary outcome measures (2)
- Time use [Time frame: 7 months.]
- Job Satisfaction [Time frame: 7 months.]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Sequential
- Masking
- Open label
- Primary purpose
- Health services research
Study locations
Finland · 1 center
- University of Turku — Turku
Identifiers
NCT: NCT07742618 · TY/1110/2026