A cryptographic tag generator is a computational algorithm designed and implemented to synthesize e-tags for system identification. Some of the digital resources that could be tagged are data files, digital images, video clips, and so on. As a best practice procedure, the tags are usually encrypted before insertion into the internal structure of the identified object, and also decrypted whenever there is a need to read the tags. This research presents a new algorithm for cryptographic tag generation using a series of chronological transformations. The dataset for the experimental run consists of 200 standard identification tags that could be applied for securing the patients’ registration data in a typical hospital information system. The scope of this research covers the synthesis of the tags cum implementation of the cryptographic system, but not the insertion of the cipher tags into the internal structure of the host media. This research is important for a number of reasons. One is that it contributes to the emerging computational field of evolving hybrid technologies that combine steganographic and cryptographic techniques in system security.