Hospital Pharmacy Intern: Data-Driven Prediction Of Medicine Shortages

Help develop a data-driven approach to predict and prevent medicine shortages. Medicine shortages represent an increasing global challenge and have a direct impact on the quality, safety, and continuity of patient care. During this internship, you will contribute to research that better understands, predicts, and ultimately prevents medicine shortages.

As part of the Modelling for Pandemic Preparedness (MOSUPPAN) project, you will work on an existing prediction model for medicine shortages. In this way, you will help to identify risks at an early stage and investigate what shortages cost hospitals both directly and indirectly.

Optimizing and validating an existing prediction model for medicine shortages.

Collecting, analyzing, and interpreting data from the pharmaceutical supply chain.

Combining that data with information about active pharmaceutical ingredient producers and drug manufacturers.

Developing proactive strategies to identify risks at an early stage.

Investigating the impact and the costs of medicine shortages within hospital care.