From eHealth to iHealth: Transition to participatory and personalized medicine in mental health
Entity
UAM. Departamento de Psiquiatría; Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD)Publisher
JMIR PublicationsDate
2018-01-01Citation
10.2196/jmir.7412
Journal of Medical Internet Research 20.1 (2018): e2
ISSN
1439-4456; 1438-8871DOI
10.2196/jmir.7412Funded by
This research was partially support by Instituto de Salud Carlos III (PI16/01852 Grant), Plan Nacional de Drogas (20151073 Project), and American Foundation for Suicide Prevention (LSRG-1-005-16). SB’s work was supported by Fondation de l’Avenir, the French Embassy in Madrid; MMPR's work was supported by a National Alliance for Research on Schizophrenia and Depression (NARSAD) Young Investigator Award (YIA) grant and a KL2 Faculty Scholar (KL2TR001435) grant (PI: Perez-Rodriguez)Project
Gobierno de España. PI16/01852Editor's Version
https://doi.org/10.2196/jmir.7412Subjects
Data Mining; Decision Making; Mental Health; Mobile Phone; Web App; MedicinaRights
© Sofian Berrouiguet, Mercedes M Perez-Rodriguez, Mark Larsen, Enrique Baca-García, Philippe Courtet, Maria OquendoAbstract
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.
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Google Scholar:Berrouiguet, Sofian
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Perez-Rodriguez, Mercedes M.
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Larsen, Mark
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Baca García, Enrique
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Courtet, Philippe
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Oquendo, María A.
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