Endocrine Abstracts

Background: Cranial diabetes insipidus (DI) is characterised by the inability to produce vasopressin leading to uncontrolled diuresis. Management includes administering synthetic vasopressin analogue desmopressin (DDAVP). Recently, there have been several national reports of DDAVP omission causing serious patient harm. This study aims to evaluate the feasibility of an automated alert system using Natural Language Processing (NLP) in electronic health records (EHR) to detect DI...