Cardiovascular information acquiring and processing system and method

Abstract

The invention belongs to the field of medical information processing technology, and discloses a cardiovascular information acquiring and processing system and a method. A cardiovascular information acquisition module is used for recording a regular follow-up surveying user name list and related information and performs grouping on the recorded information. An information retrieving module is usedfor retrieving the recorded user information. A data information leading-out and analyzing module is used for performing data grabbing and analyzing on the retrieved user information. According to the system and the method, the patients with different conditions or recording times are grouped, thereby improving information collecting efficiency and reducing in-group differences. According to a patient follow-up surveying statistics graph, the follow-up surveying date and a further consultation condition of the patient are defined, thereby reminding the patient of further consultation in time,improving user compliance of the patient and ensuring high follow-up surveying efficiency. Through data grabbing, the corresponding patient information is quickly exported, thereby realizing in-timeadjustment or inspection of the personal information. Through high-grade searching, the related patient information and the testing result information are quickly exported, thereby saving working procedures.

Description

technical field [0001] The invention belongs to the technical field of medical information processing, and in particular relates to a cardiovascular information collection and processing system and method. Background technique [0002] Currently, the closest prior art: [0003] Nowadays, many institutions have begun to use computers as a tool for collecting and recording follow-up information, and have set up databases to store the collected data. Researchers need to input various information of the corresponding patients into the computer according to the patient's disease type, but still need to spend a lot of time and energy for information sorting and retrieval, and the regularly entered information is complicated and prone to problems. [0004] In summary, the problems in the prior art are: [0005] Inconvenient data recording: manual input of various test data of patients is still laborious and inconvenient. At the same time, the collected data cannot be quickly use...

AI Technical Summary

Problems solved by technology

[0005] Inconvenient data recording: manual input of various test data of patients is still laborious and inconvenient

At the same time, the data collected cannot be quickly used for statistical work, and further sorting is still needed

[0006] Incomplete statistical items: patients recorded according to different time periods may have different conditions and treatment plans, which need to be carefully distinguished and verified, and negligence is prone to occur

[0007] Patient management is inconvenient: the existing technology cannot timely display the patients who need to be re-visited and those who have not yet been re-visited, and cannot remind patients in time, which reduces patient compliance and hinders scientific research work

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