Disease queue management system

Abstract

A disease queue management system comprises the following modules of: a researching management module which particularly performs functions of applying researching, adding, editing and deleting a disease queue, and displaying the responsible queue and the participated queue of a current login user; team member management, namely managing researching team members and the related participation members, performing adding, editing and deleting and associating with a corresponding group; researching rule management, namely managing system rules, including adding, editing, deleting and associating amenu; and researching file management, namely managing file information in a current item, including item files and testee files, and performing adding, file renaming and deleting operation.

Description

technical field [0001] The invention belongs to the technical field of medical clinical research, in particular to a disease queue management system. Background technique [0002] The diagnosis and treatment data of modern hospitals accumulate rapidly, and the recording methods conventionally used for writing medical records cannot meet the needs of scientific research. Since the data in the hospital's HIS, LIS, RIS and other systems are independent of each other, they cannot be directly exported for statistical analysis. Clinical data collection methods range from Excel to SPSS, lack of uniform standards, and the quality of data collection is uneven, which affects scientific research output. [0003] For existing clinical research projects, different types of clinical research designs require different data collection modes, especially prospective studies involving the recording of follow-up data. Hospital diagnosis and treatment data have strong privacy and need to be co...

AI Technical Summary

Problems solved by technology

Hospital diagnosis and treatment data has strong privacy and needs to be connected to the hospital database, requiring a sufficiently secure and relatively independent data environment

At present, there are many scientific research projects in hospitals, and there is no unified management platform. At the same time, there are many roles in clinical scientific research projects, which also need to be managed differently.

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