Fuzzy cognitive maps for adverse drug event risk management. (February 2018)
- Record Type:
- Journal Article
- Title:
- Fuzzy cognitive maps for adverse drug event risk management. (February 2018)
- Main Title:
- Fuzzy cognitive maps for adverse drug event risk management
- Authors:
- Bevilacqua, M.
Ciarapica, F.E.
Mazzuto, G. - Abstract:
- Highlights: A new method to understand and analyse risks of the drug management process. Fuzzy Cognitive Maps highlighted decision-making processes in drug management. Prescription Errors, Hurry, Workload, Fatigue are as relevant clinical risk concepts. FCMs provide a useful tool to knowledge modelling from a participatory point of view. Abstract: This work aims at developing a procedure for analysing the drug administration process in order to understand and highlight the criticalities and risks of the process as well as the cognitive mechanisms governing human decisions during the process. Drug therapy management and drug administration are recognised as expanding, complex, and crucial aspects of the health care system, which also help to limit unnecessary costs from complications or hospitalizations. Improved clinical outcomes can result from a more controlled drug administration process, reducing the probability of errors made by the involved operators. The whole drug administration process, starting from the patients' inlet to their entering the health unit up to the medication itself can hide potential causes of errors or lack of compliance procedures. The more complex the system there is to manage, the higher the liability of wrong operations. It is thus fundamental to deeply understand the cognitive mechanisms influencing the occurrence of errors and, to this end, a Fuzzy Cognitive Map (FCM) approach will be described in this study. FCMs helped the authors toHighlights: A new method to understand and analyse risks of the drug management process. Fuzzy Cognitive Maps highlighted decision-making processes in drug management. Prescription Errors, Hurry, Workload, Fatigue are as relevant clinical risk concepts. FCMs provide a useful tool to knowledge modelling from a participatory point of view. Abstract: This work aims at developing a procedure for analysing the drug administration process in order to understand and highlight the criticalities and risks of the process as well as the cognitive mechanisms governing human decisions during the process. Drug therapy management and drug administration are recognised as expanding, complex, and crucial aspects of the health care system, which also help to limit unnecessary costs from complications or hospitalizations. Improved clinical outcomes can result from a more controlled drug administration process, reducing the probability of errors made by the involved operators. The whole drug administration process, starting from the patients' inlet to their entering the health unit up to the medication itself can hide potential causes of errors or lack of compliance procedures. The more complex the system there is to manage, the higher the liability of wrong operations. It is thus fundamental to deeply understand the cognitive mechanisms influencing the occurrence of errors and, to this end, a Fuzzy Cognitive Map (FCM) approach will be described in this study. FCMs helped the authors to highlight the cognitive mechanisms that influence decision-making processes in drug management and evidenced the critical factors affecting the drug therapy management process as a whole, thus pointing out corrective actions for the patient's better and continuous health-related quality of life. … (more)
- Is Part Of:
- Safety science. Volume 102(2018)
- Journal:
- Safety science
- Issue:
- Volume 102(2018)
- Issue Display:
- Volume 102, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 102
- Issue:
- 2018
- Issue Sort Value:
- 2018-0102-2018-0000
- Page Start:
- 194
- Page End:
- 210
- Publication Date:
- 2018-02
- Subjects:
- Patient safety -- Fuzzy cognitive maps -- Medical processes -- Risk analysis -- Drug management -- Healthcare system
Industrial accidents -- Periodicals
Accident Prevention -- Periodicals
Safety -- Periodicals
Travail -- Accidents -- Périodiques
363.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09257535 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/safety-science/ ↗ - DOI:
- 10.1016/j.ssci.2017.10.022 ↗
- Languages:
- English
- ISSNs:
- 0925-7535
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8069.124900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8566.xml