A Framework for Applying Natural Language Processing in Digital Health Interventions.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making.

Authors

  • Burkhardt Funk
    Institute of Information Systems, Leuphana University, Lüneburg, Germany.
  • Shiri Sadeh-Sharvit
    Palo Alto University, Center for m2Health, Palo Alto, CA, United States.
  • Ellen E Fitzsimmons-Craft
    Washington University in St. Louis, St. Louis, USA.
  • Mickey Todd Trockel
    Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, United States.
  • Grace E Monterubio
    Washington University in St Louis, Department of Psychiatry, St Louis, MO, United States.
  • Neha J Goel
    Palo Alto University, Center for m2Health, Palo Alto, CA, United States.
  • Katherine N Balantekin
    Washington University in St Louis, Department of Psychiatry, St Louis, MO, United States.
  • Dawn M Eichen
    Washington University in St Louis, Department of Psychiatry, St Louis, MO, United States.
  • Rachael E Flatt
    Palo Alto University, Center for m2Health, Palo Alto, CA, United States.
  • Marie-Laure Firebaugh
    Washington University in St Louis, Department of Psychiatry, St Louis, MO, United States.
  • Corinna Jacobi
    Technische Universität, Institute of Clinical Psychology and Psychotherapy, Dresden, Germany.
  • Andrea K Graham
    Northwestern University, Department of Medical Social Sciences, Chicago, IL, United States.
  • Mark Hoogendoorn
    Vrije Universiteit Amsterdam, Department of Computer Science, De Boelelaan 1081, Amsterdam 1081 HV, The Netherlands.
  • Denise E Wilfley
    Washington University in St Louis, Department of Psychiatry, St Louis, MO, United States.
  • C Barr Taylor
    Palo Alto University, Center for m2Health, Palo Alto, CA, United States.