Judger trial early warning monitoring method and device based on case analysis, electronic equipment and storage medium

Abstract

The invention provides a judge trial early warning monitoring method and device based on case analysis, electronic equipment and a storage medium. The method comprises the following steps: establishing a case monitoring index system oriented to judge trial early warning; obtaining case monitoring index data of each judge; according to the judge trial comprehensive scoring model, calculating all judge trial comprehensive scoring values; according to the judge trial early-warning risk assessment model, carrying out judge trial early-warning risk assessment; and carrying out timely early warning and prevention on the judge with the early warning risk in the evaluation result. The duty performance condition of the judge trial process is automatically monitored by a computer system, real-time monitoring, real-time early warning and real-time prevention can be realized, the labor cost is saved, and meanwhile, the early warning accuracy is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method, device, electronic device and storage medium for early warning and monitoring of judges' trials based on case analysis. Background technique [0002] In view of the great changes in the powers and responsibilities of judges in the process of trying cases, how to supervise the performance of judges in the process of trial through information technology, timely warning and prevention of dangerous situations has become one of the problems that plague many courts. one. [0003] Many courts monitor the performance of judges by carrying out evaluations of judges’ performance, judges’ workload, and regular evaluations of judges’ handling of cases, and have, to a certain extent, pre-warned and prevented the occurrence of dangerous situations. However, the existing evaluation mechanism is difficult to meet the needs of accurate and timely early warning and preve...

AI Technical Summary

Problems solved by technology

[0004] First, the evaluation indicators are unreasonable

Evaluation of the quality of judgment documents and the workload of judges is an important aspect of judging the performance of judges, but it is obviously incomplete to use the workload of judges and the quality of judgment documents as early warning indicators for judges' trial risks, and there is also a lack of scientific demonstration

[0005] Second, the evaluation object is not comprehensive

Cases handled by judges are inspected through manual assessment. Due to resource constraints, it is impossible to review all judges, all cases, and the entire process information one by one. It can only be evaluated by sampling. Incomplete samples will inevitably lead to inaccurate evaluation results

[0006] Third, the evaluation is not timely

Limited by resources and technical conditions, the court cannot immediately evaluate the judges, and can only adopt the method of regular assessment. This method has the lag of early warning and prevention, and cannot detect trial risks in time

[0007] Fourth, the weight of evaluation indicators is unreasonable

Under the current evaluation mode, the court assigns weights to each evaluation index based on experience, which is relatively subjective and lacks verification and scientific argumentation

[0008] Fifth, the judgment of the evaluation results is not accurate

These will lead to problems that the evaluation results are too subjective and the accuracy is not high

[0009] Finally, the evaluation cost is huge

It takes a lot of manpower and material resources to evaluate the performance of judges manually, and the evaluation cost is huge

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