Visualization interactive clinical test and clinical follow-up visit system and method

Abstract

The invention discloses a visualization interactive clinical test and clinical follow-up visit system. The system comprises a right management module, a scheme visualization configuration module, an interface interaction module and a data interaction module. On the basis of the system, the invention also provides a clinical test and clinical follow-up visit method. The method comprises the following steps of: defining the right of a user in a clinical test and clinical follow-up visit treatment process by utilizing the right management module; completing the configuration of contents of the interface interaction module and the data interaction module in the scheme visualization configuration module; completing the collection, supervision, display and output of clinical test and clinical follow-up visit data in the interface interaction module according to a self-defined scheme; and completing the data interaction among the modules inside the system or between the internal module and other external systems in the data interaction module. Due to the adoption of the system, the visualized self-defined configuration for a clinical test and clinical follow-up visit research scheme can be realized, a complete interface interaction and data interaction method can be provided, and the increasingly urgent clinical test and clinical follow-up visit data management demand can be satisfied.

Description

technical field [0001] The invention relates to a clinical information system, in particular to a system and method for visual and interactive clinical trials and clinical follow-up. Background technique [0002] At present, the development trend of the pharmaceutical industry is that evidence-based medicine has gradually become the mainstream medical concept. The definition of evidence-based medicine is: prudent, accurate and wise application of the best available research evidence, combined with clinicians' personal professional skills and long-term clinical experience, considering patients' values ​​and wishes, and perfectly combining the three Together, develop a specific treatment plan. Well-designed and implemented clinical trials and clinical follow-up are the best way for clinicians to objectively and accurately learn the opinions and research results of others (including experts), enhance personal professional skills and increase clinical work experience. [0003]...

AI Technical Summary

Problems solved by technology

[0005] Compared with the paper-based system, the current electronic clinical trial information system can achieve relatively efficient and convenient functions, but it still has the following shortcomings: 1) The system lacks the visual custom configuration function for the research plan: the existing Most clinical trial information systems are only applicable to a single research plan and cannot be extended to different research plans for different diseases. If an information management system is developed for each clinical trial, it will inevitably bring about a huge waste of human, financial and material resources

2) The interface interaction and data interaction methods of the system are not perfect: the existing clinical trial information system interface interaction and data interaction methods are not perfect, and there is a lack of complete clinical trial or clinical follow-up data auxiliary input functions (single or multiple input functions , validity verification function and alarm function), it is impossible to realize the highly integrated and synchronous multiple interactions of the data monitoring feedback function and data entry function, and it is also impossible to realize the input monitoring feedback loop process to meet the third-party independent monitoring required for clinical trials and clinical follow-up , and the existing clinical trial information system cannot realize the interaction with external data (EMR, LIS, PACS, HIS, hospital information management overall platform and other medical information systems and various statistical analysis software such as SPSS)

3) Lack of an information management system applicable to both clinical trials and clinical follow-up: The existing clinical trial information systems are independently developed for clinical trials and clinical follow-up, which cannot meet the needs of clinical trials and clinical follow-up at the same time, and cannot ensure data integrity

4) The authority management system is not perfect: In the process of clinical trials and clinical follow-up, it involves system administrators, administrators of the leading unit, project leaders of the leading unit, administrators of each research center, chief physicians of each research center, and general staff of each research center. There are various research roles such as physicians, administrators of supervisory units, directors of supervisory units, and inspectors stationed in various research centers by supervisory units. Different roles have different operating permissions on different modules of the system.

Existing systems fail to provide a complete authority management system

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