Using failure mode and effects analysis for risk management of anesthetic and class I psychotropic drugs in inpatient pharmacy: a pilot study

In China, anesthetic drugs and class I psychotropic drugs are among the most stringently managed special medications within medical institutions. In this study, we aimed to use Failure Mode and Effects Analysis (FMEA) to conduct a proactive risk assessment of management models for these drugs, addressing their unique management requirements. We established a multidisciplinary team and identified five main stages of the process. Each stage was divided into micro-activities to identify potential failure modes and their possible consequences. A risk priority number for each failure mode was calculated. The management of anesthetic drugs and class I psychotropic drugs in inpatient pharmacy revealed 15 types of failure modes, with Risk Priority Numbers (RPN) ranging from 4.21 to 38.09. The very high-/high-priority errors identified included two key categories with specific quantitative risks: (1) Patients' inability to receive medications in a timely manner (2) Discrepancies between empty ampule collection and dispensing quantities. The latter category posed significant management risks, as evidenced by RPN values exceeding 30, which indicated a high likelihood of regulatory non-compliance and increased circulation vulnerabilities. FMEA proved effective in identifying key vulnerabilities in the management of anesthetic and Class I psychotropic drugs. These findings can guide the development of a targeted information management system that will leverage modern digital tools to improve drug compliance and patient safety.

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Publication Details

Journal
Scientific Reports
Published
2025-08-12
DOI
https://doi.org/10.1038/s41598-025-13377-6
Primary Topic
Patient Safety and Medication Errors
Type
article
Field-Weighted Citation Impact
0.00

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article

Using failure mode and effects analysis for risk management of anesthetic and class I psychotropic drugs in inpatient pharmacy: a pilot study

Mingzhou Liu, Lulu Zhang, Xiuling He, Li Huang et al.
Scientific Reports
Patient Safety and Medication Errors
article

Using failure mode and effects analysis for risk management of anesthetic and class I psychotropic drugs in inpatient pharmacy: a pilot study

Mingzhou Liu, Lulu Zhang, Xiuling He, Li Huang, Yikang Wang, Xiaoxia Du
article en

Abstract

In China, anesthetic drugs and class I psychotropic drugs are among the most stringently managed special medications within medical institutions. In this study, we aimed to use Failure Mode and Effects Analysis (FMEA) to conduct a proactive risk assessment of management models for these drugs, addressing their unique management requirements. We established a multidisciplinary team and identified five main stages of the process. Each stage was divided into micro-activities to identify potential failure modes and their possible consequences. A risk priority number for each failure mode was calculated. The management of anesthetic drugs and class I psychotropic drugs in inpatient pharmacy revealed 15 types of failure modes, with Risk Priority Numbers (RPN) ranging from 4.21 to 38.09. The very high-/high-priority errors identified included two key categories with specific quantitative risks: (1) Patients' inability to receive medications in a timely manner (2) Discrepancies between empty ampule collection and dispensing quantities. The latter category posed significant management risks, as evidenced by RPN values exceeding 30, which indicated a high likelihood of regulatory non-compliance and increased circulation vulnerabilities. FMEA proved effective in identifying key vulnerabilities in the management of anesthetic and Class I psychotropic drugs. These findings can guide the development of a targeted information management system that will leverage modern digital tools to improve drug compliance and patient safety.

Scientific ReportsVol. 15(1)
Henan Provincial People's Hospital (CN)
Henan Provincial People's Hospital
Good health and well-being
Openalex Percentile: Top 68%
Patient Safety and Medication Errors
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