Central randomized grouping method and system for modular design based on SAAS platform
The invention provides a central randomization grouping method and system for modular design based on an SAAS platform, and is applied to the technical field of clinical scientific research, and the method comprises the steps: obtaining subject information, and creating a randomization project; creating a random group in the randomized item according to the created randomized item; and according to the subject information and the randomized item information, carrying out randomized grouping on the subjects until all the subjects are grouped. According to the method, the minimum randomization algorithm and the block hierarchical random algorithm are adopted for randomization grouping, uniformity and consistency during dynamic and static grouping are ensured, and the problems that in the prior art, a randomization system is insufficient in modular design, complex in operation, insufficient in data safety, poor in method expandability and the like are solved..
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Patent| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 24. Nov. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
WANG JUE [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-11-24, Last update posted on www.tib.eu: 2024-02-05, Last updated: 2024-02-09 |
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| Patentnummer: |
CN117116401 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA019175043 |
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| 520 | |a The invention provides a central randomization grouping method and system for modular design based on an SAAS platform, and is applied to the technical field of clinical scientific research, and the method comprises the steps: obtaining subject information, and creating a randomization project; creating a random group in the randomized item according to the created randomized item; and according to the subject information and the randomized item information, carrying out randomized grouping on the subjects until all the subjects are grouped. According to the method, the minimum randomization algorithm and the block hierarchical random algorithm are adopted for randomization grouping, uniformity and consistency during dynamic and static grouping are ensured, and the problems that in the prior art, a randomization system is insufficient in modular design, complex in operation, insufficient in data safety, poor in method expandability and the like are solved. | ||
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