Automation bias – the tendency to over-rely on automation – has been studied in a variety of academic fields. Clinical Decision Support Systems 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 the healthcare field has a gap in this research. This paper outlines some of the most compelling theoretical factors in the literature involved in automation bias, and builds a simple model to be tested empirically. Ultimately, this will uncover the mechanisms by which this bias operates and help CDSS producers and healthcare practitioners optimize the medical decision making process.