Infection control quality event quick positioning and tracing-back method based on RFID

Abstract

The invention provides an infection control quality event quick positioning and tracing-back method based on an RFID. According to the method, historical information in a system database is set up to form a sample, modeling is conducted for the treating process through application domain knowledge and sample knowledge, and then learning of the sample and a process model is utilized to set up a hidden Markov probability relationship for the process model. When the system obtains quality event information, event and reason positioning is conducted through a probability model, event tracing-back suggestions are output to a user according to the reason of the event, the user conducts sampling inspection on objects with the same treating information as a quality event target, and object tracing-back is conducted according to the practical inspection condition, namely, taking back and retreatment are conducted on objects with the same quality problem.

Description

technical field [0001] The present invention relates to an RFID-based rapid location and traceability method for infection control quality events. Based on process modeling and probabilistic reasoning and calculation methods, the quality of hospital disinfection supply centers can be monitored on the basis of huge information obtained by using RFID technology. Incidents are quickly located and retroactive suggestions are given. Background technique [0002] With the development of the Internet of Things technology, the quality traceability and information management system of the disinfection supply center equipped with the hospital disinfection supply center has begun to use RFID technology to obtain information on the target items. The characteristics of distance and multi-target simultaneous reading can realize real-time and batch recording of item information, and accurately record relevant information of each processing stage of target items, including responsible perso...

AI Technical Summary

Problems solved by technology

However, it can only record and alarm abnormal event information with clear data constraints, and immediately find the place where the event occurred when the item is lost or expired.

However, for item contamination events and item infection events, after the abnormality occurs, the reader cannot obtain the records and alarms in time. When the event occurs, it is impossible to directly locate the location and cause of the event based on the current information.

[0010] For quality events such as item contamination events and item infection events, although the existing system can provide the entire historical information of the target item, it requires the user to analyze the historical information and locate the cause of the quality event

It is difficult or inaccurate to find the cause of the event by analyzing only the historical information of the event target item, and similar historical information in the database will provide a great reminder and information support for the cause of the event. However, the amount of information in the database is huge , it is very difficult, or almost impossible, to obtain useful information by artificial analysis

[0011] At the same time, the disinfection supply center is the core department of hospital infection control. It has strong requirements for the traceability and timeliness of quality incidents. It needs the system to respond quickly and trace the incidents to take remedial measures to avoid greater losses. Incidents are located through manual query. The reason is that it takes a long time and cannot meet the timeliness requirements

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