A task performed by Biostatisticians
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
Technically, much of it, experts rate AI capability 4/5, but workers don't want it automated (desire 2.63/5). It's an Automation Red Light: proceed with care.
How much the people who do this task want AI to take it over (avg of 8 workers).
How capable experts rate current AI at this task (avg of 2 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 work25%
- Helps handle larger scale25%
- It's repetitive13%
- It's stressful13%
- Reduces human error13%
- It's difficult13%
How to automate this
Doable with technology, but keep a person clearly in charge.
Analyzing & processing data
Let the spreadsheet or a BI tool do the math and the charts.
- 1Build it once with formulas and pivot tables instead of recalculating by hand.
- 2Connect a free dashboard so reports refresh themselves (Looker Studio, Power BI).
- 3Use AI to summarise the findings, but keep the numbers in the spreadsheet.
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 5 tasks studied for Biostatisticians, where workers want 40% of tasks automated.
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