CAI v3 validation cohort

Help us understand what makes an ED schedule better.

Compare realistic emergency medicine physician schedules and tell us which you'd rather work. Your responses help evaluate whether objective scheduling measures correspond with physician preferences.

You'll choose an 8- or 12-hour schedule bucket, then compare pairs head-to-head — no login required.

CAI v3 cohort10–15 minNo login requiredPhysician-led researchNo patient information
Start the study

Transform scheduling intuition into scheduling science

How it works

Answer
Tell us about your scheduling preferences.
Compare
Choose the schedule you’d rather work.
See your results
Get your personal schedule preference profile.

Your results

See the scheduling patterns you prefer and how your preferences compare with other emergency clinicians.

Want to go further?

Upload your own schedule to see its CAI™ (Circadian Alignment Index) score.

Why CAIER Insights exists

Circadian Science
Evidence-based fatigue research.
Physician Experience
Schedules should optimize how physicians actually experience work.
Objective Measurement
Validate scheduling indices against real physician preferences.

CAIER converts fatigue and circadian science into objectives that scheduling engines can optimize — so schedules are built for the humans who work them, not just for coverage.

"Most scheduling systems are designed to fill shifts. Physicians experience schedules.

Why compare two schedules?

Head-to-head schedule comparisons are the simplest and most scientifically rigorous way to determine whether objective scheduling indices actually predict physician preference.

v1 derivation cohort — complete

Physicians agreed with the index on ~69% of comparisons

50 emergency physicians, 626 blinded head-to-head comparisons — and what we changed because of them.

See the results

Compare realistic emergency physician schedules and help validate CAIER scheduling indices.

Start the study

Designed by emergency physicians

Emergency MedicineClinical InformaticsEvidence-basedAnonymous ParticipationNo Patient DataResearch Platform