PMID- 37234268
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231028
IS  - 1071-1813 (Print)
IS  - 2169-5067 (Electronic)
IS  - 1071-1813 (Linking)
VI  - 66
IP  - 1
DP  - 2022 Sep
TI  - LEARNING FROM FAILURE: A CASE STUDY OF HUMAN DRIVEN RISK ASSESSMENT IN MEDICAL 
      SIMULATOR DESIGN.
PG  - 1932-1936
LID - 10.1177/1071181322661237 [doi]
AB  - Failure Modes and Effects Analysis (FMEA) is a qualitative and quantitative 
      approach to measuring and analyzing risk that compiles and ranks failure modes, 
      their effects, and their corrective actions. Though widely used, traditional FMEA 
      has been criticized for the lack of a scientific basis behind the Risk Priority 
      Number calculation. To combat this, researchers have argued that Multiple 
      Criteria Decision Making (MCDM) methods should be used to rank failure modes 
      instead. As such, the current paper was developed to present a case study that 
      applies FMEA and MCDM to a Central Venous Catheterization (CVC) training 
      simulator called the Dynamic Haptic Robotic Trainer (DHRT). FMEA was needed 
      because while a beta prototype exists for research purposes, there are several 
      failure modes that prevent this system from widespread deployment. Our results 
      provide insight into how FMEA can be used to identify a system's highest priority 
      failure modes and maximize improvement recommendations.
FAU - Bartuska, Rachel
AU  - Bartuska R
AD  - Pennsylvania State University Industrial Engineering.
FAU - Tzamaras, Haroula
AU  - Tzamaras H
AD  - Pennsylvania State University Industrial Engineering.
FAU - Moore, Jason
AU  - Moore J
AD  - Pennsylvania State University Mechanical Engineering.
FAU - Miller, Scarlett
AU  - Miller S
AD  - Pennsylvania State University Industrial Engineering.
LA  - eng
GR  - R01 HL127316/HL/NHLBI NIH HHS/United States
PT  - Journal Article
DEP - 20221027
PL  - United States
TA  - Proc Hum Factors Ergon Soc Annu Meet
JT  - Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human 
      Factors and Ergonomics Society. Annual meeting
JID - 9420718
PMC - PMC10208299
MID - NIHMS1899665
EDAT- 2023/05/26 13:09
MHDA- 2023/05/26 13:10
PMCR- 2023/10/27
CRDT- 2023/05/26 12:08
PHST- 2023/05/26 13:10 [medline]
PHST- 2023/05/26 13:09 [pubmed]
PHST- 2023/05/26 12:08 [entrez]
PHST- 2023/10/27 00:00 [pmc-release]
AID - 10.1177/1071181322661237 [doi]
PST - ppublish
SO  - Proc Hum Factors Ergon Soc Annu Meet. 2022 Sep;66(1):1932-1936. doi: 
      10.1177/1071181322661237. Epub 2022 Oct 27.