Retrieval and Clustering of Medicines Within Healthcare Data Records

Electronic Health Records (EHRs) are typically designed to electronically document all information that is administratively and clinically relevant in a patient's use of a healthcare facility. This paper intends to improve discoverability of medications which may exist within the narrative-based free-text notes of patients' health care data records. This led us to introduce a context sensitive approach to retrieve candidate pharmaceuticals. Additionally, a combination of contraction promotion and clustering based upon edit distance will be utilised to increase the precision of this process.