Mayo Clinic Arizona Tested Bed-Free ER Pathway
The clinical pilot offers healthcare managers a zero-cost method to improve patient throughput in emergency departments.
Updated on Sept. 22, 2026 in Nursing Jobs

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Mayo Clinic Arizona implemented a bed-free emergency department care pathway that successfully reduced patient lengths of stay, according to a study published July 9 in Management Science. This operational adjustment targeted process inefficiencies to streamline care without requiring capital investment.
Why it matters
The model addresses ad-hoc decision-making by standardizing patient flow, offering operators a way to improve efficiency metrics without increasing overhead. The findings suggest that structured processing protocols can maintain care quality while optimizing existing facility capacity.
The new pathway achieved a 4.2% reduction in patient length of stay, equivalent to 11 minutes per visit, at an implementation cost of $0. These findings were drawn from clinical trials conducted at Mayo Clinic Arizona.
The players
Mayo Clinic Arizona
A major non-profit medical center and research facility known for high-complexity patient care.
Management Science
A prominent peer-reviewed academic journal focused on operational and managerial research.
The details
Researchers developed a decision tree using machine learning and mathematical models to categorize patients for vertical, bed-free treatment. Staff used this tool to bypass traditional bed assignments, directing eligible patients to a vertical processing pathway instead. This shift effectively reconfigured the facility's existing workflow to minimize non-clinical waiting times.
Timeline
July 9, 2026: The study was published in the journal Management Science.
Market Landscape
This study aligns with the broader movement toward vertical processing in emergency medicine to mitigate chronic bed shortages. It validates the transition from traditional, bed-centric triage toward algorithmic, high-efficiency workflows that prioritize patient throughput.
Operations managers should review existing triage decision-making processes for opportunities to implement similar zero-cost, evidence-based routing protocols. Monitoring the scalability of this model is advised as more institutions adopt vertical processing to ease capacity constraints.
The takeaway
Operational efficiency in high-pressure clinical settings can be improved through structured decision trees rather than additional capital investment. Managers should analyze their current patient intake data to identify bottleneck phases that could be addressed through similar lean process re-engineering.
Further reading
Healthcare leaders looking to optimize clinical staff efficiency can find related strategies in our section on Nursing Jobs.
Source note: This article includes information reported by Becker's Hospital Review | Healthcare News & Analysis.
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