Real time monitoring of clinic risks using an integrated RFID-FA scheme

Nisreen A. Hussein, Mohammed M. Fayyadh


Patient safety is a global public health concern because of increases in the number of mistreatments due to the improper identification of patients or the improper administration of drugs. Risk in clinic management refers to the systematic process used to specify, control and analyze organizational risks. The present article describes a new method to improve the quality of healthcare by enabling to monitor and control the hospital workflow using Radio Frequency Identification (RFID) to read and capture clinical information. Tag distribution was specified based on functional clustered areas. The Density-Based Scan Algorithm (DBSCAN) was used as a clustering technique to extract area data based on drawing designs transferred from Auto-Cad. Then all gathered data was transferred to the firefly algorithm to track drug distribution and specify doctor and nurse locations. The simulation results observe real-time tracking and identification of people and drugs based on hospital zone designs. The results present 87% tag real-time coverage for managing and monitoring human inside the hospital. The effectiveness of this system shows that it useful in monitoring clinic operations and effective for hospital network solution.


RFID network planning;Firefly algorithm;DBSCAN;clinical risk management



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