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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 11, 2017
Date Accepted: Sep 13, 2017
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

Berrouiguet S, Perez-Rodriguez MM, Larsen M, Baca-García E, Courtet P, Oquendo M

From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

J Med Internet Res 2018;20(1):e2

DOI: 10.2196/jmir.7412

PMID: 29298748

PMCID: 5772066

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

  • Sofian Berrouiguet; 
  • Mercedes M Perez-Rodriguez; 
  • Mark Larsen; 
  • Enrique Baca-García; 
  • Philippe Courtet; 
  • Maria Oquendo

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.


 Citation

Please cite as:

Berrouiguet S, Perez-Rodriguez MM, Larsen M, Baca-García E, Courtet P, Oquendo M

From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

J Med Internet Res 2018;20(1):e2

DOI: 10.2196/jmir.7412

PMID: 29298748

PMCID: 5772066

Per the author's request the PDF is not available.