What does research say about call schedule fairness?

Research suggests that fairness is both distributive and procedural. The final distribution of nights, weekends and holidays matters, but so does the process: visible rules, participation, preference handling and explainable tradeoffs. Equal assignment counts alone are not enough to make a schedule feel fair.

Did automated scheduling improve resident fairness?

Howard, Gao and Sankey reported improved schedule quality and resident satisfaction after implementing an automated scheduling tool. The PLOS ONE study reported perceived fairness 0.9 points higher on a 5-point scale, and 96.0% of interns receiving their first-choice rotation versus 69.4% previously.

Why does participation matter in scheduling fairness?

Participation matters because people judge the process, not only the final result. If physicians or residents can submit availability and preferences, and if the schedule maker can show how those inputs were considered, difficult assignments are easier to explain even when every request cannot be granted.

Can a fairness score replace human judgment?

No. A fairness score should support human judgment, not replace it. It can make nights, weekends, holidays and heavy call loads easier to review, but the schedule maker still has to consider context, coverage, skills, safety, preferences and local policy before publication.

How can medical groups apply fairness research?

Medical groups can apply fairness research by making rules explicit, separating constraints from preferences, tracking difficult assignments, reviewing the draft before publication and requiring approval for swaps. The goal is a transparent process that the group can inspect, not a claim of perfect fairness.

Call Schedule Fairness: What Research Says

Why fairness is more than equal counts

In call scheduling, equal totals are easy to count and easy to misunderstand. A physician may have the same number of assignments as a colleague but more nights, more weekends, more holidays or worse sequences.

That is why fairness has to include both distribution and process. The distribution answers who received what. The process answers whether the rules were visible, whether preferences were considered and whether the schedule maker can explain the tradeoffs.

Evidence from automated resident scheduling

Howard, Gao and Sankey studied an automated scheduling tool in an internal medicine residency context. In that PLOS ONE study, perceived fairness was 0.9 points higher on a 5-point scale, and 96.0% of interns received their first-choice rotation compared with 69.4% in the prior manual process.

Those results should not be overgeneralized. They came from a residency scheduling context, not every medical group. But they support a practical point: structured rules and explicit preference handling can improve how a schedule is experienced.

Fairness includes the scheduling process

Uhde et al. studied fairness and decision-making in collaborative shift scheduling. The important lesson for medical groups is that fairness is not only a property of the final schedule. It is also a property of the process that produced it.

If the schedule maker uses hidden rules, undocumented exceptions or private negotiations, the schedule can feel unfair even when the counts are balanced.

Healthcare workers perceive fairness across dimensions

Bieri and Matt's 2025 work on algorithmic fairness in shift scheduling studied healthcare worker perceptions using 19 semi-structured interviews across three Swiss hospitals.

For a physician call schedule, that means a single metric is not enough. Nights, weekends, holidays, sequence burden, preference handling, control, predictability and supervisor trust can all shape whether a schedule is perceived as fair.

What this means for physician groups

A practical fair call scheduling process should include explicit rules before generation, separate tracking for difficult assignments, visible preference handling, pre-publication review, approved swaps and a shared explanation when the schedule is challenged.

The research does not say that every physician will like every assignment. It points to a more realistic target: a process where the rules are knowable, the inputs are handled consistently and the final distribution can be inspected. That target is useful because medical schedules always contain tradeoffs.

How to translate research into local rules

Start by naming the fairness dimensions your group actually cares about. Most physician groups care about total assignments, nights, weekends, holidays, backup call, undesirable sequences, preference handling and last-minute changes. Do not collapse all of that into one raw count.

Then decide which dimensions are hard limits and which are balancing goals. A hard limit might be eligibility for a specific site. A balancing goal might be weekend distribution across a quarter. This distinction helps the schedule maker explain why one request could be granted and another could not.

Why transparency matters after publication

Fairness is tested when someone challenges the schedule. If the schedule maker can show the rules, constraints, preference intake and swap approvals, the discussion becomes concrete. If the answer depends on scattered messages or undocumented exceptions, the group is left arguing about memory and intent.

A transparent workflow also protects the schedule after it goes live. Swaps, open shifts and emergency changes can alter the original distribution. Reviewing those changes keeps fairness from being treated as a one-time check that disappears after publication.

A practical fairness review checklist

Before publishing, review whether the draft covers every required shift, respects unavailable dates, avoids avoidable hard sequences, distributes weekends and holidays visibly, and records any exceptions. Then ask whether the explanation would still make sense if the most affected physician read it.

This is where a tool can help. SaniShift's fairness score is not a substitute for local judgment, but it gives the schedule maker a visible review point before the calendar becomes official. The result is a better conversation about tradeoffs, not a promise of perfect satisfaction.

What research says about call schedule fairness