Clinical test method for tumor pharmacology

Abstract

The invention discloses a clinical test method for tumor pharmacology. According to the technical scheme, the method is characterized by comprising the following steps: S1, creating a cloud platform, wherein the cloud platform comprises a data layer; S2, recruiting volunteers; S3, screening volunteers; S4, carrying out a clinical test and recording data; S5, formulating a clinical test data standard; S6, analyzing clinical data through an algorithm; and S7, uploading cloud data and accessing. According to the tumor pharmacology clinical test method, the requirements of online volunteer recruitment are met through the steps of cloud platform creation, volunteer recruitment, volunteer screening, clinical test development and data recording, clinical test data standard making, clinical data analysis through an algorithm, cloud data uploading, access and the like; real-time data interaction can be realized by utilizing a network cloud platform, volunteers can be quickly recruited and screened, various offline organization and management time is saved, and subsequent clinical test record data is post-processed by the method.

Description

technical field

[0001] The invention relates to the field of tumor pharmacological tests, in particular to a method for clinical tumor pharmacological tests. Background technique

[0002] Tumor pharmacology tests are usually conducted offline, and the procedures of arrangement and screening are complicated, consume a lot of manpower and material resources, and need to be improved.

[0003] The existing Chinese patent with the publication number CN105868525A discloses a clinical pharmacological test information processing system, including a functional area and a safety area; the functional area includes a base layer, a data layer, a support layer, an application layer and a portal layer, so The base layer includes network options, hardware options, and system options; the data layer includes drug data options, disease data options, cycle data options, personnel data options, and data management options; the support layer includes query options, release options, statistics o...

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