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SAAS self-service website building system provides a convenient and efficient way to create websites for many companies and individuals. It does not require complex technical knowledge and can build a professional website through simple operations. This model greatly reduces the threshold and cost of website building, allowing more people to have their own online display platform. Clinical trial recruitment under the wave of digitalization has also ushered in new changes. The new "Internet AI" recruitment model opened by Yaoshiquan uses big data and artificial intelligence technology to accurately match patients and trial projects, thereby improving the efficiency and accuracy of recruitment. On the surface, SAAS self-service website building system and clinical trial recruitment seem to have no direct connection. However, in-depth analysis will find that they have many similarities and the possibility of mutual reference under the background of digitalization. First of all, both make full use of cloud computing and big data technology. SAAS self-service website building system relies on cloud computing platform to provide users with stable and reliable services, and continuously optimizes website templates and functions through analysis of user data. Yaoshiquan's new recruitment model also relies on big data technology to deeply mine patients' information to find the most suitable trial participants. Secondly, user experience occupies a vital position in both. SAAS self-service website building system focuses on the simplicity and beauty of the interface and the convenience of operation to meet the needs of users to quickly build a website. The recruitment model of Yaoshiquan is committed to providing patients with clear and concise recruitment information, simplifying the registration process, and allowing patients to easily participate in clinical trials. Furthermore, continuous innovation is the key to their development. SAAS self-service website building system continues to launch new functions and templates to adapt to market changes and user needs. Yaoshiquan also needs to continuously optimize recruitment algorithms and expand recruitment channels to maintain competitiveness in the field of clinical trial recruitment. The successful experience of SAAS self-service website building system has positive implications for Yaoshiquan's recruitment model. For example, the user interface design concept of SAAS system can be used to create a simple and intuitive recruitment platform. At the same time, the data analysis capabilities of SAAS system can be used to conduct in-depth mining of data in the recruitment process to further improve the accuracy of recruitment. On the other hand, Yaoshiquan's recruitment model also provides new ideas for the development of SAAS self-service website building system. For example, it can be considered to apply artificial intelligence technology to the website building system to realize intelligent recommendation templates and functions to provide users with more personalized services. In general, although SAAS self-service website building system and clinical trial recruitment reform under the wave of digitalization belong to different fields, under the general trend of digitalization, they influence and promote each other and jointly promote the development and progress of society. In the future, with the continuous advancement and innovation of technology, we have reason to believe that SAAS self-service website building system and digital recruitment models like Drug Test Circle will continue to play an important role and bring more convenience and opportunities to various industries.
