Contextual data is rarely incorporated into machine learning models for physiological event detection and prediction. In traumatic brain injury (TBI) patients, intracranial pressure (ICP) measurements are only valid when the external ventricular drain (EVD) stopcock is correctly positioned. We developed a stopcock position sensor using an inertial measurement unit (IMU) to record position data, transmitted via Bluetooth for time-synchronized annotation. Initial clinical review deemed the device functional, and four hours of continuous data demonstrated accurate synchronization. Future work includes clinical evaluation at UT Southwestern and expanding contextual data integration for ICU and battlefield applications.