Uncovering safety risks across multispecialty: A Human Factor Analysis and Classification System (HFACS) based observational study in cardiovascular, orthopedic, trauma care, and neurosurgical environments

Despite significant progress in patient safety, human error continues to occur at high rates in surgical settings. The Human Factors Analysis and Classification System (HFACS) offers a proactive lens to understand how and where errors emerge. This study examines HFACS's utility and reliability in categorizing and comparing human error in cardiovascular, orthopedic, trauma care, and neurosurgery. Observational data from cardiovascular, orthopedic, trauma, and neurosurgery cases were coded using HFACS by trained analysts applying unanimous, majority, and reconciled consensus strategies to assess interrater reliability. Across specialties, 98.25% of disruptions occurred at the "preconditions for unsafe acts," indicating latent failures. In cardiovascular surgery, 49.20% were linked to adverse mental states (e.g., cognitive overload, stress), 26.95% to physical environment issues, and 12.69% to crew resource management. Orthopedic surgery showed 68.75% of crew resource management failures, 19.47% personal readiness issues, and 5.87% environment stressors. Trauma care involved 61.38% crew resource management, 26.71% adverse mental states, and 10.33% team availability. Neurosurgery disruptions stemmed 59.42% from technological environment/layout and 35.92% from communication, coordination, and planning. HFACS is a reliable tool for categorizing human factors in diverse surgical environments. Findings highlight distinct latent failure profiles across specialties and underscore the importance of data driven specialty-specific safety interventions.

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Publication Details

Journal
Journal of Healthcare Risk Management
Published
2025-12-04
DOI
https://doi.org/10.1002/jhrm.70018
Primary Topic
Patient Safety and Medication Errors
Type
article
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article

Uncovering safety risks across multispecialty: A Human Factor Analysis and Classification System (HFACS) based observational study in cardiovascular, orthopedic, trauma care, and neurosurgical environments

Asfand Khan, Albert Boquet, Scott A. Shappell, Tara Cohen
Journal of Healthcare Risk Management
Patient Safety and Medication Errors
article

Uncovering safety risks across multispecialty: A Human Factor Analysis and Classification System (HFACS) based observational study in cardiovascular, orthopedic, trauma care, and neurosurgical environments

Asfand Khan, Albert Boquet, Scott A. Shappell, Tara Cohen
article en

Abstract

Despite significant progress in patient safety, human error continues to occur at high rates in surgical settings. The Human Factors Analysis and Classification System (HFACS) offers a proactive lens to understand how and where errors emerge. This study examines HFACS's utility and reliability in categorizing and comparing human error in cardiovascular, orthopedic, trauma care, and neurosurgery. Observational data from cardiovascular, orthopedic, trauma, and neurosurgery cases were coded using HFACS by trained analysts applying unanimous, majority, and reconciled consensus strategies to assess interrater reliability. Across specialties, 98.25% of disruptions occurred at the "preconditions for unsafe acts," indicating latent failures. In cardiovascular surgery, 49.20% were linked to adverse mental states (e.g., cognitive overload, stress), 26.95% to physical environment issues, and 12.69% to crew resource management. Orthopedic surgery showed 68.75% of crew resource management failures, 19.47% personal readiness issues, and 5.87% environment stressors. Trauma care involved 61.38% crew resource management, 26.71% adverse mental states, and 10.33% team availability. Neurosurgery disruptions stemmed 59.42% from technological environment/layout and 35.92% from communication, coordination, and planning. HFACS is a reliable tool for categorizing human factors in diverse surgical environments. Findings highlight distinct latent failure profiles across specialties and underscore the importance of data driven specialty-specific safety interventions.

Journal of Healthcare Risk ManagementVol. 45(3)
Cedars-Sinai Medical Center (US), Embry–Riddle Aeronautical University (US)
Openalex Percentile: Top 44%
Patient Safety and Medication Errors
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Uncovering safety risks across multispecialty: A Human Factor Analysis and Classification System (HFACS) based observational study in cardiovascular, orthopedic, trauma care, and neurosurgical environments — Asfand Khan, Albert Boquet, et al. · Journal of Healthcare Risk Management (2025) | TGRS Research Map | TGRS