From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health.
Sofian BerrouiguetM Mercedes Perez-RodriquezMark Erik LarsenEnrique Baca-GarciaPhilippe CourtetMaria A OquendoPublished in: Journal of medical Internet research (2018)
Clinical assessment in psychiatry is commonly based on findings from brief, regularly scheduled in-person appointments. Although critically important, this approach reduces assessment to cross-sectional observations that miss essential information about disease course. The mental health provider makes all medical decisions based on this limited information. Thanks to recent technological advances such as mobile phones and other personal devices, electronic health (eHealth) data collection strategies now can provide access to real-time patient self-report data during the interval between visits. Since mobile phones are generally kept on at all times and carried everywhere, they are an ideal platform for the broad implementation of ecological momentary assessment technology. Integration of these tools into medical practice has heralded the eHealth era. Intelligent health (iHealth) further builds on and expands eHealth by adding novel built-in data analysis approaches based on (1) incorporation of new technologies into clinical practice to enhance real-time self-monitoring, (2) extension of assessment to the patient's environment including caregivers, and (3) data processing using data mining to support medical decision making and personalized medicine. This will shift mental health care from a reactive to a proactive and personalized discipline.
Keyphrases
- mental health
- healthcare
- data analysis
- electronic health record
- primary care
- cross sectional
- health information
- public health
- big data
- clinical practice
- decision making
- case report
- mental illness
- human health
- palliative care
- climate change
- social media
- deep learning
- risk assessment
- quality improvement
- health promotion
- single cell