Open research — anonymous participation

Transform scheduling intuition into scheduling science

Emergency physicians have trusted their instincts for decades.

Now we’re testing those instincts against fatigue science, circadian biology, and physician preference to build an objective framework for schedule quality.

We're validating a set of proprietary scheduling indices for emergency medicine. The fastest way to do that is to ask working ED physicians to compare real-looking schedules, A vs B, and tell us which one feels better. Your gut response — pooled across hundreds of clinicians — is the benchmark we're testing the indices against.

Takes about 5–10 minutes. No login required.

A typical session
  1. 1
    Configure
    Pick shift length, hours per month, and batch size.
  2. 2
    Compare A vs B
    Look at two schedules and pick the one that feels better.
  3. 3
    Done
    Thanks — follow the project for findings.

The underlying index scores stay hidden during the session so your gut response isn't primed by a number on the screen.

“Most scheduling systems are designed to fill shifts. Physicians, however, experience schedules.”

Computers don’t feel fatigue. They don’t suffer from circadian disruption. They don’t work a string of exhausting late-to-early transitions.

AIER’s mission is to close that disconnect by converting evidence-based fatigue and circadian science into objectives that modern scheduling engines can optimize. The result is a schedule designed not only for coverage, but for the humans who work it.

A/B is the point
Head-to-head comparisons are the cleanest way to test whether an index actually tracks what clinicians notice.
Your shift profile
Schedules are generated for 8h, 12h, 24h, or mixed coverage and your typical monthly workload.
Bring your own (soon)
Signed-in users will be able to upload a real schedule and get an analysis report.

Ready to evaluate some schedules?

Join other emergency physicians in identifying healthier schedule designs. Your feedback is fully anonymous and directly validates evidence-based scheduling indices.

Takes only 5–10 minutes • No registration or login required

AIER Technologies
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