CN103268411A - Quantification System of Standardized Quality Control of Radiotherapy and Chemotherapy - Google Patents

Abstract

The invention discloses a quantification system for chemoradiotherapy standardized quality control. The quantification system comprises a quality control entry system, a quality control quantification system, a quality control feedback system and a quality control database, wherein the quality control entry system stores quality control records into the quality control database; the quality control quantification system performs quantitative grading on the quality control records by aid of the neural network and learns the quantitative grading standard instructed by professors; the quality control feedback system is used for inquiring the quality control quantification records and quality control grades in the quality control database; and the quality control database is used for storing all the quality control records, quality control grades and neural network parameters. The quantification system can accurately instruct the medical staff to perform practical and effective chemoradiotherapy through quantitative evaluation, is beneficial to objective therapeutic schedule evaluation and enables the administrative department to analyze the diagnoses and treatment level of the medical staff and the treatment conditions of corresponding cancers, and accordingly improves medical resource distribution and the medical care quality.

Description

Quantification System of Standardized Quality Control of Radiotherapy and Chemotherapy

technical field

The invention relates to a quantitative system for standardized quality control of radiotherapy and chemotherapy.

Background technique

Artificial neural network, referred to as neural network for short, is a mathematical model that simulates biological neural networks.

It consists of multiple artificial neurons connected to each other, each neuron weights and sums the outputs of the neurons connected to its input, and outputs its own calculation results to the neurons connected to its output through a transfer function, thus The neural network can respond to the stimulus input given by the outside world. Through training, the connection strength between each neuron can be changed, that is, the weight of input weighting, so as to achieve different degrees of activation or inhibition among neurons. A neural network is a nonlinear statistical data modeling tool that can be used to model complex relationships between inputs and outputs, or to explore patterns in data.

Standardized quality control in the process of radiotherapy and chemotherapy Carry out quality control on the degree of standardization of medical operations, accurately guide medical staff to carry out effective radiotherapy and chemotherapy treatment through quantitative evaluation, and avoid wrong treatment or excessive treatment due to differences in case understanding by different doctors Treatment results in additional economic burden, decreased quality of life and even death for patients. On the other hand, evaluable objective standards are helpful for medical staff to objectively evaluate the treatment plan, and it is also beneficial for hospitals and national management departments to analyze the medical staff's diagnosis and treatment level and the treatment of corresponding cancers, so as to improve medical resources. distribution and improve the quality of care.

Contents of the invention

The purpose of the present invention is to provide a quantitative system for standardized quality control of radiotherapy and chemotherapy.

The technical solution adopted by the present invention to solve technical problems is as follows:

A quantitative system for standardized quality control of radiotherapy and chemotherapy, including the following four parts: quality control input system, quality control quantification system, quality control feedback system, and quality control database;

The quality control entry system is used to collect data on the operation of the treatment, and the entered data will be stored in the quality control database as a quality control record;

The quality control quantification system uses a neural network to quantify and score the quality control records in the quality control database to obtain a quality control score, and provides an expert evaluation interface to allow experts to guide the neural network to learn the quality control scoring quantification standard;

The quality control feedback system provides a user interface for the quality control scoring, which is used to query the quality control records and corresponding quantitative scoring results;

The quality control database provides data support for each system, and saves the quality control records, corresponding quality control scores, and parameters learned by the artificial neural network of the quality control quantification system through expert guidance.

The beneficial effects of the present invention are: the quantitative system of standardized quality control of radiotherapy and chemotherapy provides a complete recording and evaluation function of standardized quality control of radiotherapy and chemotherapy, provides a data basis for subsequent treatment plan determination and treatment quality feedback, and can provide data basis for subsequent treatment Provide guidance.

Description of drawings

Figure 1 is a structural diagram of the quantitative system for standardized quality control of radiotherapy and chemotherapy.

Figure 2 is a flow chart of quality control record entry.

Fig. 3 is a flow chart of the quality control quantification system learning the quantification standard of the quality control score.

Fig. 4 is a flowchart of the operation of the quality control feedback system.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

As shown in Figure 1, the quantitative system of the standardized quality control of radiotherapy and chemotherapy includes four parts: the quality control input system, the quality control quantification system, the quality control feedback system, and the quality control database. Quality control entry is used for doctors or nurses to enter quality control records in the medical process, and the entered quality control records are saved in the quality control database. The quality control quantification system reads the quality control records from the quality control database, uses the neural network to quantify the quality control records, and stores the obtained quality control scores in the quality control database. The quality control quantification system also provides an expert evaluation interface to allow experts to Score the quality control records to guide the neural network for quantitative scoring learning. The quality control feedback system provides a user interface for quality control scoring, reads quality control records and corresponding quality control scores from the quality control database, and is queried by supervisors. The quality control database provides data support for each system, and saves the parameters learned by the artificial neural network in the quality control record, quality control scoring and quality control quantification system through expert guidance.

As shown in Figure 2, after the first stage of radiotherapy and chemotherapy treatment, the doctor or nurse calls the quality control input system to enter the quality control record, which includes all the treatment process conditions. After the quality control record is entered, the system calls the quality control quantification system to calculate the corresponding quality control score of the quality control record, and stores the quality control record and quality control score into the quality control database.

As shown in Figure 3, when the quantitative standard of quality control scoring is changed or the accuracy needs to be further improved, the learning process of the quantitative standard of quality control scoring starts. First, appropriate learning cases are obtained from the quality control database, and then experts score these cases . Cases and expert scores are passed to the quality control quantification system, and the artificial neural network begins to re-learn. After the learning is completed, the state of the artificial neural network is saved in the quality control database.

As shown in Figure 4, the monitoring personnel call the quality control feedback system and specify the quality control record standards to be checked. The quality control feedback system searches the quality control database according to the standards and obtains the corresponding quality control records and quality control scores. The artificial neural network of the system needs to recalculate the quality control score and update the quality control database after relearning after obtaining these scores. The final result is displayed to the supervisor through the user interface.

Claims (1)

1. the quantization system of a chemicotherapy standardization quality control is characterized in that, comprises following four parts: Quality Control input system, Quality Control quantization system, Quality Control feedback system, Quality Control database;

Described Quality Control input system, the data that are used for collecting the operational circumstances for the treatment of, the data of institute's typing can be stored in the described Quality Control database as the Quality Control record;

Described Quality Control quantization system utilizes neural network that Quality Control record in the described Quality Control database is quantized scoring and marks to obtain Quality Control, and provides the expert assessment and evaluation interface to allow the expert to instruct neural network learning Quality Control scoring quantitative criteria;

Described Quality Control feedback system, the user interface that provides described Quality Control to mark is used for the described Quality Control record of inquiry and quantizes appraisal result accordingly;

Described Quality Control database for each system provides the data support, is preserved the parameter that described Quality Control is recorded, corresponding Quality Control is marked, the artificial neural network of described Quality Control quantization system arrives by expert's guidance learning.

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