Matches in SemOpenAlex for { <https://semopenalex.org/work/W3104755319> ?p ?o ?g. }
- W3104755319 abstract "Abstract Background Preventing medical errors is crucial, especially during crises like the COVID-19 pandemic. Failure Modes and Effects Analysis (FMEA) is the most widely used prospective hazard analysis in healthcare. FMEA relies on brainstorming by multi-disciplinary teams to identify hazards. This approach has two major weaknesses: significant time and human resource investments, and lack of complete and error-free results. Objectives To introduce the algorithmic prediction of failure modes in healthcare (APFMH) and to examine whether APFMH is leaner in resource allocation in comparison to the traditional FMEA and whether it ensures the complete identification of hazards. Methods The patient identification during imaging process at the emergency department of Sheba Medical Center was analyzed by FMEA and APFMH, independently and separately. We compared between the hazards predicted by APFMH method and the hazards predicted by FMEA method; the total participants’ working hours invested in each process and the adverse events, categorized as ‘patient identification’, before and after the recommendations resulted from the above processes were implemented. Results APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA: the former used 21 h whereas the latter required 63 h. Following the implementation of the recommendations, the adverse events decreased by 44% annually (P = 0.0026). Most adverse events were preventable, had all recommendations been fully implemented. Conclusion In light of our initial and limited-size study, APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA. APFMH is suggested as an alternative to FMEA since it is leaner in time and human resources, ensures more complete hazard identification and is especially valuable during crisis time, when new protocols are often adopted, such as in the current days of the COVID-19 pandemic." @default.
- W3104755319 created "2020-11-23" @default.
- W3104755319 creator A5021653797 @default.
- W3104755319 creator A5057382511 @default.
- W3104755319 creator A5073208013 @default.
- W3104755319 creator A5073807126 @default.
- W3104755319 creator A5079194583 @default.
- W3104755319 creator A5079658591 @default.
- W3104755319 creator A5080926479 @default.
- W3104755319 creator A5088701642 @default.
- W3104755319 creator A5089351039 @default.
- W3104755319 date "2020-11-16" @default.
- W3104755319 modified "2023-10-10" @default.
- W3104755319 title "Algorithmic prediction of failure modes in healthcare" @default.
- W3104755319 cites W1152844928 @default.
- W3104755319 cites W1965740430 @default.
- W3104755319 cites W1968719028 @default.
- W3104755319 cites W1974750926 @default.
- W3104755319 cites W1984240889 @default.
- W3104755319 cites W1988093463 @default.
- W3104755319 cites W2000451387 @default.
- W3104755319 cites W2005455276 @default.
- W3104755319 cites W2022155020 @default.
- W3104755319 cites W2031532543 @default.
- W3104755319 cites W2039784264 @default.
- W3104755319 cites W2041523302 @default.
- W3104755319 cites W2060109649 @default.
- W3104755319 cites W2070105802 @default.
- W3104755319 cites W2097213014 @default.
- W3104755319 cites W2122526733 @default.
- W3104755319 cites W2125610376 @default.
- W3104755319 cites W2129678148 @default.
- W3104755319 cites W2130567699 @default.
- W3104755319 cites W2133023740 @default.
- W3104755319 cites W2151655936 @default.
- W3104755319 cites W2336019187 @default.
- W3104755319 cites W2568323331 @default.
- W3104755319 cites W2750939726 @default.
- W3104755319 cites W2895419555 @default.
- W3104755319 cites W70273200 @default.
- W3104755319 doi "https://doi.org/10.1093/intqhc/mzaa151" @default.
- W3104755319 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7890669" @default.
- W3104755319 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33196826" @default.
- W3104755319 hasPublicationYear "2020" @default.
- W3104755319 type Work @default.
- W3104755319 sameAs 3104755319 @default.
- W3104755319 citedByCount "1" @default.
- W3104755319 countsByYear W31047553192022 @default.
- W3104755319 crossrefType "journal-article" @default.
- W3104755319 hasAuthorship W3104755319A5021653797 @default.
- W3104755319 hasAuthorship W3104755319A5057382511 @default.
- W3104755319 hasAuthorship W3104755319A5073208013 @default.
- W3104755319 hasAuthorship W3104755319A5073807126 @default.
- W3104755319 hasAuthorship W3104755319A5079194583 @default.
- W3104755319 hasAuthorship W3104755319A5079658591 @default.
- W3104755319 hasAuthorship W3104755319A5080926479 @default.
- W3104755319 hasAuthorship W3104755319A5088701642 @default.
- W3104755319 hasAuthorship W3104755319A5089351039 @default.
- W3104755319 hasBestOaLocation W31047553191 @default.
- W3104755319 hasConcept C111919701 @default.
- W3104755319 hasConcept C112930515 @default.
- W3104755319 hasConcept C116834253 @default.
- W3104755319 hasConcept C127413603 @default.
- W3104755319 hasConcept C150672426 @default.
- W3104755319 hasConcept C154945302 @default.
- W3104755319 hasConcept C160735492 @default.
- W3104755319 hasConcept C162324750 @default.
- W3104755319 hasConcept C178790620 @default.
- W3104755319 hasConcept C185592680 @default.
- W3104755319 hasConcept C200601418 @default.
- W3104755319 hasConcept C206345919 @default.
- W3104755319 hasConcept C206355099 @default.
- W3104755319 hasConcept C21547014 @default.
- W3104755319 hasConcept C31258907 @default.
- W3104755319 hasConcept C41008148 @default.
- W3104755319 hasConcept C49261128 @default.
- W3104755319 hasConcept C50522688 @default.
- W3104755319 hasConcept C545542383 @default.
- W3104755319 hasConcept C59822182 @default.
- W3104755319 hasConcept C66283442 @default.
- W3104755319 hasConcept C71924100 @default.
- W3104755319 hasConcept C86803240 @default.
- W3104755319 hasConcept C98045186 @default.
- W3104755319 hasConceptScore W3104755319C111919701 @default.
- W3104755319 hasConceptScore W3104755319C112930515 @default.
- W3104755319 hasConceptScore W3104755319C116834253 @default.
- W3104755319 hasConceptScore W3104755319C127413603 @default.
- W3104755319 hasConceptScore W3104755319C150672426 @default.
- W3104755319 hasConceptScore W3104755319C154945302 @default.
- W3104755319 hasConceptScore W3104755319C160735492 @default.
- W3104755319 hasConceptScore W3104755319C162324750 @default.
- W3104755319 hasConceptScore W3104755319C178790620 @default.
- W3104755319 hasConceptScore W3104755319C185592680 @default.
- W3104755319 hasConceptScore W3104755319C200601418 @default.
- W3104755319 hasConceptScore W3104755319C206345919 @default.
- W3104755319 hasConceptScore W3104755319C206355099 @default.
- W3104755319 hasConceptScore W3104755319C21547014 @default.
- W3104755319 hasConceptScore W3104755319C31258907 @default.
- W3104755319 hasConceptScore W3104755319C41008148 @default.
- W3104755319 hasConceptScore W3104755319C49261128 @default.