journal article·2025-05-30Open access

A Cascading Delphi Method-Based FMEA Risk Assessment Framework for Surgical Instrument Design: A Case Study of a Fetoscope

Wipharat Phokee, Sunisa Chaiklieng, Pornpimon Boriwan, Thanathorn Phoka, Jeroen Vanoirbeek, Surapong Chatpun

Applied Sciences· Volume 15· Issue 11

Abstract

Failure Mode and Effect Analysis (FMEA) is crucial for identifying risk reduction opportunities in design. This study aims to aid in the design of sophisticated medical devices by setting guidelines and addressing weaknesses in data collection and risk priority numbers (RPNs). This is achieved by developing an FMEA framework with potential efficiency and efficacy benefits for design engineers, surgeons and patients. The FMEA framework covered risk analysis and risk evaluation by integrating a cascading Delphi method to address data collection and Multi-Criteria Decision-Making (MCDM) technique to address RPN calculations. This study involved the design of a flexible fetoscope for minimally invasive fetal intervention, analyzing and evaluating risks. The cascading FMEA framework had two stages for data collection, namely risk identification by individual interview and risk evaluation by individual email. The cascading Delphi FMEA framework with MCDM identified the potential risks for the mother at the tip (risk score = 0.927) and subsequent risks such as debris loss (risk score = 0.896), material degradation (risk score = 0.896), and glue dislodging (risk score = 0.896) as critical issues. By identifying failure modes early, medical device designers can better mitigate risks during the initial design stages.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Delphi Technique in Research · Health Systems, Economic Evaluations, Quality of Life · Cardiac, Anesthesia and Surgical Outcomes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand

Department of Occupational Safety and Environmental Health, Faculty of Public Health, Khon Kaen University, Khon Kaen 40002, Khon Kaen, Thailand

Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Khon Kaen, Thailand

Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok 65000, Phitsanulok, Thailand

Center of Excellence in Nonlinear Analysis and Optimization, Naresuan University, 99 Village No. 9, Tha Pho, Muang District, Phitsanulok 65000, Phitsanulok, Thailand

Department of Public Health and Primary Care, KU Leuven, 3000 Leuven, Belgium

Funding

Royal Thai Government scholarship

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