Development of Smart Inhalers for Personalized Respiratory Disease Treatment

DOI: https://doi.org/10.63345/ijrmp.org.v8.i1.1

Neha Panwar

Independent Researcher

Ghaziabad, Uttar Pradesh, India

Abstract

Respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD), pose significant global health challenges. Traditional inhaler devices, while life‐saving, often suffer from limitations in dosing accuracy, adherence, and real‐time monitoring. This manuscript presents the development of smart inhalers designed to deliver personalized treatment by integrating advanced sensor technology, wireless connectivity, and data analytics. By capturing critical parameters such as inhalation technique, dose timing, and environmental conditions, these devices offer clinicians real‐time insights to optimize therapy and enhance patient outcomes. A comprehensive literature review up to 2019 indicates steady progress in digital health and wearable sensors, yet gaps remain in translating these innovations into routine clinical practice. Our methodology involved iterative design, prototyping, and in‐field testing with a diverse cohort of patients. We conducted statistical analysis to evaluate the precision of dose delivery and adherence rates, and implemented surveys to assess user satisfaction and clinical utility. The results suggest that smart inhalers can significantly improve treatment adherence and provide valuable feedback for personalized care. The conclusion outlines future research directions, including integrating machine learning for predictive analytics and expanding interoperability with broader healthcare platforms. In summary, the development of smart inhalers represents a promising leap forward in respiratory disease management, enabling clinicians to tailor treatments to individual patient needs and ultimately improving therapeutic outcomes.

Keywords

Smart inhalers; respiratory disease; personalized treatment; sensor technology; adherence; digital health; COPD; asthma

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