Automation bias – or a tendency to over-rely on automation – is a subject which has been studied in a variety of academic fields. Clinical Decision Support Systems (CDSS) aim to benefit the clinical decision making process. Although most research shows overall improved performance with use, there is often a failure to recognize the new errors that CDSS can introduce, and as such the healthcare field has a gap in this research. This paper summarizes the methodology and preliminary results of a systematic review over a broad range of fields into the effects of over-reliance on automation. Results indicate that though automation bias is a significant phenomenon, it is not well defined, and there is a gap in the research which must be addressed to optimize the use of decision support.