Proceedings of the 2016 International Conference on Biological Sciences and Technology

The Clinical Medication Safety Based on Petri Net Monitoring

Authors
Zhi-Hui Huang
Corresponding Author
Zhi-Hui Huang
Available Online January 2016.
DOI
https://doi.org/10.2991/bst-16.2016.30How to use a DOI?
Keywords
Clinical pathway, Task reliability, Fault tree, Human reliability, Petri net.
Abstract
Pharmacovigilance and rational use of drugs, clinical application and evaluation, drug risk management is an important content of drug epidemiology. How to take advantage of Petri net monitoring Clinical Medication Safety in the hospital information system, obtain human reliability fault data, and using Petri model analysis identification of Pharmacovigilance and rational use of drugs, establishment rational use of medicines (RUM). Based on fault tree analysis (FTA) focus on analyze the medical staff human reliability about hospital clinical pathway system safety monitoring and rational drug use. Methods: Application OpenFTA software, the research based on Petri net fault tree analysis, fault tree for qualitative and quantitative analysis, drug safety management of the fault tree is obtained by Monte Carlo simulation of minimum cut sets. Results: Through the simulation calculation the probability of top event-drug safety incidents occur. Conclusion: Based on Petri net monitoring Clinical Medication Safety of fault tree method may help the qualitative and quantitative analysis the influence factors of adverse events, for the development of safety precautions, improving medication safety.
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Proceedings
The International Conference on Biological Sciences and Technology
Part of series
Advances in Biological Sciences Research
Publication Date
January 2016
ISBN
978-94-6252-161-2
ISSN
2468-5747
DOI
https://doi.org/10.2991/bst-16.2016.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhi-Hui Huang
PY  - 2016/01
DA  - 2016/01
TI  - The Clinical Medication Safety Based on Petri Net Monitoring
BT  - The International Conference on Biological Sciences and Technology
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-16.2016.30
DO  - https://doi.org/10.2991/bst-16.2016.30
ID  - Huang2016/01
ER  -