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Updated: Jan 30, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
[Modal analysis of failures and effects in intra-hospital transfers]
A B Moya Suárez1, A Mora Banderas2, V Fuentes Gómez2
1Departamento de Enfermería, Agencia Sanitaria Costa del Sol, Marbella, Málaga, España.
Objectives:
To identify gaps in patient safety during intra-hospital transfers.
Material And Methods:
A working group was set up and patient transfers carried out in the different healthcare areas of a hospital were identified. Using the Modal Failure and Effects Analysis (FMEA), the risks of each failure mode identified were quantified using the Risk Prioritisation Index (RPI) and establishing improvement measures for all RPIs with scores greater than 100.
Results:
There were 31 critical points that could lead to failures / deficiencies in 20 types of transfers. A total of 35 safety improvement measures were proposed for the transfers in the different areas analysed.
Conclusions:
The use of FMEA has made it possible to objectify the risks for patient safety during internal hospital transfers by providing information to prioritise improvement strategies.
Insights
This study identified 31 critical patient safety gaps during intra-hospital transfers using Failure Mode and Effects Analysis (FMEA). It proposed 35 improvement measures to enhance patient safety during these transfers.
Area of Science:
- Healthcare Quality Improvement
- Patient Safety Research
- Clinical Operations Management
Background:
- Intra-hospital patient transfers are complex processes with inherent risks.
- Identifying and mitigating patient safety vulnerabilities during transfers is crucial for quality healthcare.
Purpose of the Study:
- To systematically identify and analyze patient safety gaps during intra-hospital transfers.
- To quantify the risks associated with identified failure modes in patient transfers.
- To develop targeted improvement strategies for enhancing patient safety during internal hospital movements.
Main Methods:
- A working group was established to identify all types of intra-hospital patient transfers.
- Failure Mode and Effects Analysis (FMEA) was employed to assess risks.
- Risk Prioritization Index (RPI) was used to quantify failure mode risks, with scores >100 triggering improvement measures.
Main Results:
- A total of 31 critical points leading to failures or deficiencies were identified across 20 different types of patient transfers.
- 35 specific safety improvement measures were proposed for patient transfers within various hospital areas.
- The FMEA methodology effectively objectified risks, providing data for prioritizing interventions.
Conclusions:
- Failure Mode and Effects Analysis (FMEA) is a valuable tool for objectively assessing patient safety risks during intra-hospital transfers.
- The study provides a data-driven foundation for prioritizing and implementing safety enhancement strategies.
- Proactive risk identification and mitigation are essential for improving patient safety during internal hospital transfers.
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