This article proposes a workflow and reliability model for surgery patient identification using RFID (Radio Frequency Identification). Certain types of mistakes may be prevented by automatically identifying the patient before surgery. The proposed workflow is designed to ensure that both the correct site and patient are engaged in the surgical process. The reliability model can be used to assess improvements in patients’ safety during this process. A proof-of-concept system is developed to understand the information flow and to use information in RFID-based patient identification. Reliability model indicates the occurrences of patient identification error can be reduced from 90 to as low as 0.89 per 10,000 surgeries using the proposed RFID based workflow.
A bstractThis paper has an purpose to study the effect of C on the toughness of YS 460 MPa FCAW weld metal. These effects were evaluated by charpy impact and CTOD test about 4 FCAW weld metal containing various C and Si content in relation to microstructure. Increase of C content was helpful to increase AF volume fraction and reduce PF(G) and FS volume fraction by increasing super cooling rate for ferrite transformation. Also, Increase of C content up to 0.045wt% made the strength and impact toughness higher by increasing AF volume fraction. The weld metal containing higher C content indicated higher CTOD value. It is because the volume fraction of PF(G) and FS, can play a role as crack initiation site, was reduced. Effect of C on the strength and elongation of weld metal was higher with an increase of Si contents.
This paper proposes a workflow and performance model for surgery patient identification using RFID (Radio Frequency Identification). Certain types of mistakes may be prevented by automatically identifying the patient before surgery. The proposed workflow is designed to ensure that both the correct site and patient are engaged in the surgical process. The performance model can be used to predict patient waiting time and service duration time with RFID implementation. A proof-of-concept system is developed to understand the information flow and to use information in RFID-based patient identification. Performance model indicates the response time to patients can be reduced to 38% after four hours using the proposed RFID based workflow.
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