INTENSIV — a Knowledge Based System for Intensive Care Units

Author(s):  
H. Weiß ◽  
H.-D. Clevert ◽  
K. Schmaltz ◽  
H. J. Schober ◽  
M. Wehrhahn ◽  
...  
2011 ◽  
Vol 4 (1) ◽  
pp. 21-33
Author(s):  
Ana Torres Morgade ◽  
Marcos Martínez-Romero ◽  
José M. Vázquez-Naya ◽  
Miguel Pereira Loureiro ◽  
Ángel González Albo ◽  
...  

In intensive care units (ICUs), clinicians must monitor patients’ vital signs and make decisions regarding the drugs they administer. The patients’ lives depend on the quality of these decisions but experts can make mistakes. Recent technological strategies and tools can decrease these errors. In this paper, the authors describe the development of a knowledge based system (KBS) to provide support to clinicians with respect to the drugs they administer to patients with cardiopathies in ICUs to stabilize them. To develop the system, knowledge from medical experts at the Meixoeiro Hospital in Vigo (Spain) has been extracted and formally represented as an ontology. As a result, a validated KBS has been obtained, which can be helpful to experts in ICUs and whose underlying knowledge can be easily shared and reused.


Author(s):  
Ana Torres Morgade ◽  
Marcos Martínez-Romero ◽  
José M. Vázquez-Naya ◽  
Miguel Pereira Loureiro ◽  
Ángel González Albo ◽  
...  

In intensive care units (ICUs), clinicians must monitor patients’ vital signs and make decisions regarding the drugs they administer. The patients’ lives depend on the quality of these decisions but experts can make mistakes. Recent technological strategies and tools can decrease these errors. In this paper, the authors describe the development of a knowledge based system (KBS) to provide support to clinicians with respect to the drugs they administer to patients with cardiopathies in ICUs to stabilize them. To develop the system, knowledge from medical experts at the Meixoeiro Hospital in Vigo (Spain) has been extracted and formally represented as an ontology. As a result, a validated KBS has been obtained, which can be helpful to experts in ICUs and whose underlying knowledge can be easily shared and reused.


2019 ◽  
Vol 104 (6) ◽  
pp. 588-595 ◽  
Author(s):  
Adam Sutherland ◽  
Darren M Ashcroft ◽  
Denham L Phipps

ObjectiveTo explore the factors contributing to prescribing error in paediatric intensive care units (PICUs) using a human factors approach based on Reason’s theory of error causation to support planning of interventions to mitigate slips and lapses, rules-based mistakes and knowledge-based mistakes.MethodsA hierarchical task analysis (HTA) of prescribing was conducted using documentary analysis. Eleven semistructured interviews with prescribers were conducted using vignettes and were analysed using template analysis. Contributory factors were identified through the interviews and were related to tasks in the HTA by an expert panel involving a PICU clinician, nurse and pharmacist.ResultsPrescribing in PICU is composed of 30 subtasks. Our findings indicate that cognitive burden was the main contributory factor of prescribing error. This manifested in two ways: physical, associated with fatigue, distraction and interruption, and poor information transfer; and psychological, related to inexperience, changing workload and insufficient decision support information. Physical burden was associated with errors of omission or selection; psychological burden was linked to errors related to a lack of knowledge and/or awareness. Social control through nursing staff was the only identified control step. This control was dysfunctional at times as nurses were part of an informal mechanism to support decision making, was ineffective.ConclusionsCognitive burden on prescribers is the principal latent factor contributing to prescribing error. This research suggests that interventions relating to skill mix, and communication and presentation of information may be effective at mitigating rule and knowledge-based mistakes. Mitigating fatigue and standardising procedures may minimise slips and lapses.


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