A hybrid methodology for modeling risk of adverse events in complex health-care settings.
This study aimed to use modeling, a strategy to detect safety hazards, to characterize the risk of pressure ulcers and catheter-associated infections. Investigators developed a risk model that combined systems dynamics and Bayesian belief networks to assess organizational and nonorganizational factors that contribute to risks. The model performed well when validated against clinical data, suggesting wider applications of risk modeling may have practical patient safety applications.
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