|
|
Abstract (College of Management, Gansu Agricultural University, Lanzhou 730070, China)
Abstract: This paper aims to explore the application of radio frequency identification (RFID) and laser scanning based internet of things (IoT) technology in clinical trials, and analyze its advantages in improving data accuracy, improving work efficiency, and ensuring data security. RFID technology realizes the automatic identification and collection of items and data through radio waves, which has the characteristics of no contact reading, high capacity data storage and real-time information update. Laser scanning technology uses a laser beam to scan a bar code or quick response (QR) code to obtain information, with high precision and high speed. Both techniques performed well for subject identity verification, sample management, and medication tracking. In specific applications, RFID and laser scanning technologies have greatly improved the transparent management and traceability of trial materials, ensuring the real-time collection and monitoring of subject data, and safe distribution and use of drugs. These techniques reduce human error and improve data accuracy and work efficiency by automating and transmitting information in real time. Despite the challenges of technology costs, privacy protection, and standardization, these issues are expected to be gradually resolved with technological progress and innovation. In the future, RFID and laser scanning technology will be further integrated with emerging technologies such as artificial intelligence and blockchain to promote the digital and refined management of clinical trials. The research and analysis in this paper provide a reference for the digital transformation of clinical trials, hoping to promote the wide application of RFID and laser scanning technology in this field, and contribute to the innovation and progress of medical research.
Key words: radio frequency identification; laser scanning; automatic recognition; internet of things technology; clinical trial
（Acta Laser Biology Sinica, 2024, 33(6): 505-511）
|
|
|
|
|
|
| [1] |
. [J]. journal1, 2024, 33(6): 1-6. |
|
|
|
