Despite the documented benefits of clinical decision support systems in reducing the number of adverse drug events (ADEs) and medication errors, their adoption has been very limited. In this paper, we propose a clinical learning model that incorporates the use of a Clinical Decision Support System (CDSS) to improve the decisions on the initial drug selection and ongoing dosage and application. The model allows for the analytical investigation of the effects of different CDSS functionalities on clinical learning. The analytical results suggest that using CDSS to improve drug selection decisions positively influences the importance of the patient-level information for the physician. On the other hand, absent improvements in successful drug selection, the use of CDSS may in fact negatively influence the clinical learning.