Medication use is one of the most frequent interactions patients have with their treatment plans, yet it remains largely invisible to clinicians and care systems. Whether a therapy is taken, how consistently, and under what real-world conditions often goes unmeasured, leading to gaps in adherence, misunderstanding of treatment effectiveness, and delayed responses to worsening symptoms. This lack of real-time insight impacts chronic disease management, reduces the reliability of clinical trial outcomes, and limits the ability of healthcare providers to deliver proactive, personalized care.
FindAir was developed to address this gap by transforming medication use into continuous, meaningful data. By integrating smart inhaler sensors, connected mobile experiences, and analytics platforms, FindAir captures the context and patterns of every dose. The core aim is to make therapy observable: to convert daily medication behaviors into signals that clinicians, patients, and researchers can act upon.
The project focuses on designing systems that fit naturally into patients’ lives while generating data robust enough to support clinical decisions, remote care, and research. Key milestones include developing sensor hardware, user-centered interaction flows, clinical integration workflows, and data models that translate raw use events into adherence patterns and symptom-response insights. The current state of development shows that connected medication devices can not only report adherence but also reveal when treatment is working, when support is needed, and how real-world use can inform more effective, scalable care.