This paper reviews features of numerous tools, techniques and technologies that help to identify and detect early risk of diabetes. The paper uses systematic literature review (SLR) guidelines and searched most of the popular journals limiting the results tied to studies that discussed the screening and detection of the risk of diabetes. We reviewed the architecture, features and limitations of the various tools and technologies using the following classification: Continuous Glucose Monitoring Systems (CGMS), Flash Glucose Monitoring Systems (FGMS) and the Unobtrusive Systems. Under the unobtrusive system, we studied the Child Health Improvement through Computer Automation (CHICA) system and while there are pieces of evidence that proves its benefits and usefulness, we found some required enhancements in areas of decision support system, data entry automation and flexible integration with other systems. Future work will examine the usage of intelligent automation to detect early risk of diabetes during a patient-physician visit.