Intelligent record making system

Abstract

The invention belongs to the field of data processing, in particular to an intelligent record making system. The application front end of the system comprises an information collecting module and a man-machine intelligent interaction module. The service backend includes an AI module, a risk evaluation and early warning module and an intelligent perception service module. The information collectionmodule receives the basic case information input by the user and transmits it to the service backend. The AI module of the think tank extracts the case elements of the basic information to generate the related questions and sends them to the man-machine intelligent interaction module. After the questions are displayed and the user's reply information is received, the dynamic information of the service backend is aggregated. The AI module of the think tank determines whether to continue to generate a problem for updating the dynamic information according to the dynamic information; If not, thedynamic information and basic information are generated into a transcript document, which is displayed to the user through a man-machine intelligent interaction module. The invention constructs a pertinent inquiry to realize the man-machine interactive intelligent inquiry without the design mode of the transcript template according to the characteristics of the insurance industry such as the diversity of cases and the like.

Description

technical field [0001] The invention belongs to the field of data processing, and in particular relates to an intelligent record making system. Background technique [0002] In the traditional insurance transcript production, the insurance company will take the printed transcript format to the site for handwritten records by the claim personnel. The questions asked in the transcript are simply based on the work experience of the claim personnel, which is likely to cause different cases to be asked the same way. Missing questions; there are problems such as ambiguous records and incomplete records of key evidence for the content of the parties' answers. [0003] Although there are transcript production software systems in other industries that can solve the above problems to a certain extent, such software mostly uses preset transcript templates and free question-and-answer designs, which may easily cause users to copy templates mechanically and lack pertinence, and users Wh...

AI Technical Summary

Problems solved by technology

[0002] In the traditional insurance transcript production, the insurance company will take the printed transcript format to the site for handwritten records by the claims personnel. The questions asked in the transcript rely solely on the work experience of the claim personnel to ask questions. It is easy to ask the same questions in different cases, and the key questions are often Missing questions; there are problems such as ambiguous records and incomplete records of key evidence for the content of the parties’ answers

[0003] Although there are note-making software systems in other industries that can solve the above problems to a certain extent, such software mostly uses preset note-taking templates and free question-and-answer designs, which can easily cause users to copy templates mechanically and lack pertinence, and users When asking questions freely, due to lack of experience, I don’t know how to ask and record

In addition, there is no recording software specially developed for the insurance industry

[0004] For example, in the Chinese patent with the patent publication number CN106897864A, it discloses a mobile terminal-based transcript system and its transcript method. Due to the user's personal work experience and professionalism, due to the limitation of the transcript template, the final results are modeled and the pertinence is not enough

This patent cannot realize targeted intelligent problems based on the known case characteristics and the evolution of the case during the production process of the transcript, and cannot realize automatic early warning of case risks, and cannot realize remote assistance in the production of transcripts

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