# Enhancing patient care quality and safety under the hospital-wide “One Bed” model: a FMEA-based approach

**Authors:** Xixi Li, Yanfei Ma, Haili Long, Jianying Shang, Zhi Zeng, Haiyan Wang, Li Wan, Huaping Huang

PMC · DOI: 10.3389/fmed.2026.1681431 · Frontiers in Medicine · 2026-02-26

## TL;DR

This study uses FMEA to improve patient safety and nursing quality in a hospital-wide 'One Bed' model by identifying and reducing risks in cross-departmental care.

## Contribution

A novel application of FMEA to systematically evaluate and improve risks in cross-departmental nursing under the 'One Bed' model.

## Key findings

- FMEA identified 15 failure modes in cross-departmental nursing processes.
- RPN values for these failure modes decreased by 39.71% to 80.42% after interventions.
- The approach improved nursing quality and offers a framework for other hospitals.

## Abstract

The hospital-wide “One Bed” model poses potential risks in cross-departmental patient care, affecting nursing quality and patient safety. However, systematic evaluation and improvement strategies for these risks remain limited.

This study aimed to apply Failure Mode and Effects Analysis (FMEA) to identify and improve nursing quality risks under the “One Bed” model, providing actionable strategies for proactive risk management in cross-departmental patient care.

Failure Mode and Effects Analysis was employed to systematically identify potential failure modes in nursing processes and quantify associated risks using Risk Priority Numbers (RPNs). Based on RPN values, priority improvement projects were implemented to optimize nursing quality and patient safety.

Following the interventions, RPN values of 15 identified failure modes across pre-, intra-, and post-cross-departmental management all decreased, with reductions ranging from 39.71% to 80.42%, indicating observed improvements in nursing quality and patient safety.

Integrating FMEA into hospital-wide nursing management under the “One Bed” model provides a structured approach for proactive risk identification and workflow optimization. This study offers a practical framework for other institutions seeking to enhance cross-departmental patient care.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC12979090/full.md

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Source: https://tomesphere.com/paper/PMC12979090