Clinical data management system

Abstract

The invention relates to a clinical data management system. The clinical data management system comprises a use working table, a medical record management module, a follow-up management module, a project management module, an integrated query module and an automatic acquisition task management module and is characterized in that the medical record management module comprises a medical record grouping sub-module, a medical record importing sub-module, a medical record browsing sub-module and a data checking sub-module, the medical record grouping sub-module is used for grouping of medical records in a system, the medical record importing sub-module is used for batch importing of the medical records, the medical record browsing sub-module is used for browsing the current basic information state of the medical records, the data checking sub-module system is used for checking user data in the system, the follow-up management module is used for collecting follow-up information, the project management module is used for management and operations on project data, and the automatic acquisition task management module is used for task management of automatic data acquisition. The clinical data management system can achieve centralized unified management of clinical research of all medical institutions and individual support for a single research project.

Description

technical field [0001] The invention relates to a clinical data management system, in particular to a clinical data management system for pituitary adenoma. Background technique [0002] There are many data management challenges in the clinical process. At present, due to the absence of an accurate management system, there are the following problems in the process of manual clinical trial supervision and management: manual management is labor-intensive, high-cost, and low-efficiency; various records and document management organizations are messy, random, and incomplete; Various types of effectiveness and safety information generated during multi-center trials cannot be shared, and it is difficult for all centers to conduct coordinated trial operations; the position of researchers is too strong, and it is difficult for trial institutions and sponsors to play a role in trial design and operation. It is in a dominant position and has a good quality control; it is too superfic...

AI Technical Summary

Problems solved by technology

At present, due to the absence of an accurate management system, there are the following problems in the process of manual clinical trial supervision and management: manual management is labor-intensive, high-cost, and low-efficiency; various records and document management organizations are messy, random, and incomplete; Various types of effectiveness and safety information generated during multi-center trials cannot be shared, and it is difficult for all centers to conduct coordinated trial operations; the position of researchers is too strong, and it is difficult for trial institutions and sponsors to play a role in trial design and operation. It is in a dominant position and has a good quality control; it is too superficial and formal, lacks substantive management, and because there is no unified management system, data management is not planned, and the data quality is not high, which may even lead to untrue and unobjective problems. data

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