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From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health.
Berrouiguet, Sofian; Perez-Rodriguez, Mercedes M; Larsen, Mark; Baca-García, Enrique; Courtet, Philippe; Oquendo, Maria.
Afiliación
  • Berrouiguet S; Lab-STICC, IMT Atlantique, Université Bretagne Loire, Brest, France.
  • Perez-Rodriguez MM; Laboratoire Soins primaires, Santé publique, Registre des cancers de Bretagne Occidentale SPURBO, Equipe d'accueil 7479, Brest, France.
  • Larsen M; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Baca-García E; Black Dog Institute, University of New South Wales, Sydney, Australia.
  • Courtet P; Department of Psychiatry, Fundación Jimenez Diaz Hospital, Autónoma University, Centro de Investigacion en Red Salud Mental, Madrid, Spain.
  • Oquendo M; Department of Emergency Psychiatry, University Hospital of Montpellier, University of Montpellier, Montpellier, France.
J Med Internet Res ; 20(1): e2, 2018 01 03.
Article en En | MEDLINE | ID: mdl-29298748
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Salud Mental / Telemedicina / Teléfono Celular / Medicina de Precisión / Minería de Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Salud Mental / Telemedicina / Teléfono Celular / Medicina de Precisión / Minería de Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Francia