A task performed by Clinical Research Coordinators
Track enrollment status of subjects and document dropout information such as dropout causes and subject contact efforts.
Probably not worth it. Both worker desire (2.9/5) and AI capability (3/5) are on the low side. It sits in the Low Priority zone.
How much the people who do this task want AI to take it over (avg of 10 workers).
How capable experts rate current AI at this task (avg of 3 experts).
How much human involvement should stay?
The Human Agency Scale (H1–H5) captures how much human direction workers think this task should keep.
Why workers feel the way they do
- Frees up time for higher-value work60%
- It's repetitive50%
- Reduces human error40%
- Helps handle larger scale40%
- It's stressful20%
- It's difficult10%
How to automate this
Low priority to automate, but here is the gist if you want to try.
Data entry & documentation
Capture it once, then let software reuse and fill the rest.
- 1Replace re-typing with templates and autofill (document templates, saved replies, form defaults).
- 2Collect input through a form so it arrives already structured, with no transcription.
- 3Use a no-code automation to copy data between your tools (Zapier, Make, Power Automate).
Tools that can help
Know a better way, or spot an error?
Share how you automate this in real life, or correct the data. Reviewed before publishing.
This is 1 of 14 tasks studied for Clinical Research Coordinators, where workers want 43% of tasks automated.
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