Mayo Clinic Arizona Implemented Bed-Free ER Care

A new treatment pathway successfully reduced patient length of stay in the Phoenix hospital's emergency department.

Updated on Sept. 22, 2026 in Nursing Jobs

Isometric editorial illustration showing a clean, minimalist clinical triage workstation in a modern hospital setting. — Mayo Clinic Arizona reduced patient stay times in its emergency department by implementing a new bed-free care pathway for specific patients. AI Illustration. Upload story photo >

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Mayo Clinic Arizona implemented a bed-free emergency department care pathway that successfully cut patient length of stay by 11 minutes. The strategy was highlighted in a study published on July 9, 2026.

Why it matters

The approach addresses inefficiencies caused by ad-hoc decision-making in hospital settings. By utilizing structured protocols, the facility aimed to enhance operational speed without compromising the quality of patient care.

The bed-free protocol achieved a 4.2% reduction in patient length of stay, equating to 11 minutes of time saved. The system implementation cost the hospital $0.

The players

Mayo Clinic Arizona

This facility served as the primary testing site for the new vertical emergency processing pathway.

Harvard University

This institution served as a research partner in the development of the mathematical and machine learning models.

Oxford University

This university contributed to the academic research regarding the effectiveness of the bed-free care pathway.

The details

Researchers at Mayo Clinic Arizona, in collaboration with Harvard and Oxford universities, developed a decision tree using machine learning models to identify patients suitable for vertical processing. This approach allows clinical staff to triage and treat patients without requiring a traditional hospital bed.

July 9, 2026: The study was officially published in Management Science.

Market Landscape

This development follows a pattern established by the Management Science publication of the vertical care pathway study, which aims to optimize hospital throughput. The strategy highlights a broader industry shift toward maximizing clinical efficiency using low-cost, data-driven operational models.

Patients visiting the emergency department in Phoenix may experience shorter wait times and more efficient triage processes. The initiative demonstrates that hospitals can improve service speed for the average patient without requiring additional capital investment.

The takeaway

Data-driven decision trees allow hospitals to streamline care paths effectively without high financial costs. Implementing these structured models is expected to become a standard practice in other emergency departments seeking to improve efficiency.