TABLE 4.

Practical applications of eHealth for different members of the Allergy community

	Feature	Application
Clinicians	mHealth	Mobile apps used as electronic diaries in asthma and rhinitis, leading to more detailed symptom monitoring.
	Adherence monitors	Provide reliable information on the use of prescribed treatments, creating an opportunity to support patient education.
	Electronic health records	Increased opportunities to mine clinical data in order to get a more realistic analysis of activity. Clinical decision support systems might be an opportunity to provide better care to patients, reinforcing evidence‐based recommendations.
	Telemedicine	Extend the reach of the practitioner beyond the limitations of a physical clinic.
	Social media	Real‐time information‐sharing with colleagues, engaging the general public, enabling novel methods of patient education, accessing professional education.
Patients	mHealth	Electronic diaries and gamification may increase awareness of symptoms and improve control. Reminder systems may improve treatment adherence.
	Adherence monitors	Reinforce medication use, leading to better control of the diseases and improvements in the quality of life of patients and caregivers.
	Wearables	Provide real‐time information to improve the perception of the disease and early detection of triggers.
	Telemedicine	Give better access to health care resources regardless of geographical location and cost reduction.
	Social media	Source of medical information and education. Engagement with healthcare professionals and other patients.
Researchers	mHealth	Mobile apps and sensors may be cost‐effective methods of rapid and valid collection of data.
	Adherence monitors	Increase adherence to clinical trials interventions, giving information about the causes of non‐adherence.
	Wearables	Automatic collection of data about subjects and activities.
	Electronic health records	Data mining can be used to identify potential research participants.
	Social media	Source of easy to collect, real‐time data. Increase visibility and impact of publications.
	Big data	Process huge datasets, including subjects profiling, phenotyping, exposome analysis, etc.