Respiratory diseases impose a substantial global health burden, with preventive pulmonology strategies offering critical opportunities to reduce morbidity and mortality through early detection, risk factor modification, and disease progression prevention. Digital health technologies enable a paradigm shift in respiratory disease prevention through remote monitoring, early exacerbation detection, personalized interventions, and enhanced patient engagement. This narrative review examines digital health applications in preventive pulmonology from clinical and public health perspectives, analyzing evidence across chronic obstructive pulmonary disease, asthma, tuberculosis, lung cancer screening, and occupational lung disease prevention. Key technologies include smartphone-based spirometry, wearable sensors, artificial intelligence–driven risk prediction, telemedicine platforms, and mobile health applications. Evidence indicates digital interventions can improve disease detection, reduce exacerbations, and enhance quality of life in selected populations, though significant challenges persist, including device accuracy concerns, data security issues, implementation barriers, and equity considerations. We synthesize evidence on validation requirements, implementation frameworks, cost-effectiveness, and patient-centered approaches essential for clinical translation. Understanding how to effectively deploy, validate, and sustain these technologies is critical for chest physicians and pulmonary disease prevention specialists.
Ahmed A. Almohammadi (Wed,) studied this question.