Table 1.

Summary points related to common digital health technologies in mental health

Technology	Main uses	Future potential	Key issues	Priority actions
Digitally‐delivered ­psychological therapies	Self‐management of ­symptoms of depression and anxiety	Precision interventions; ­preventive treatments	Lack of engagement; saturated consumer marketplace; claims outpacing clinical evidence	Establishing evidence base for use in people with diagnosed mental disorders
Smartphone data (active + passive)	Tracking mood and lifestyle in people with major ­depression, bipolar ­disorder and psychosis	Machine learning towards ­individualized risk prediction and delivery of targeted “just in time” interventions	Lack of validation across ­studies; establishing trust around data usage	Data standards for interoperability and validation; industry‐academic partnerships around access
Social media	Population level monitoring of mood and anxiety	Real time monitoring of mental health state; ­accessible peer support	Sampling bias; access to data from social media companies; privacy	Industry‐academic partnerships and privacy standards
Virtual reality	Exposure therapies	Higher engagement and potentially higher efficacy than apps	Increased accessibility	Low‐cost headsets; expanded ­clinical targets
Chatbots		Increased access to care	Limited range of appropriate responses	Establishing evidence base for use in people with diagnosed mental disorders