Accuracy of medication data in EHR is crucial for patient care and research. Previous work has shown frequent errors in medication lists include incomplete records, duplicated prescriptions, and failed discontinuation of medications. Since medication lists are inaccurate, physicians often record medication information in progress notes, which is difficult to automatically extract since notes are written as free-text narratives. In this study, we developed and validated a named entity recognition model to identify current medication and adherence from progress notes. Also, a prototype tool for medication reconciliation using the developed model was demonstrated.