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Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours

  • Juan Martínez-MirandaEmail author
  • Antonio Palacios-Isaac
  • Fernando López-Flores
  • Ariadna Martínez
  • Héctor Aguilar
  • Liliana Jiménez
  • Roberto Ramos
  • Giovanni Rosales
  • Luis Altamirano
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 288)

Abstract

The use of new technologies in the prevention and detection of suicidal behaviours have a strong potential to reach and offer immediate support to individuals at risk, their caregivers and in the long run to health care policymakers. In this paper, we describe the development of a computational platform to support suicide prevention activities through two main components. The first one is a Clinical Decision Support System developed to help specialists with the screening, treatment management, and the collection and analysis of suicide-related data for surveillance purposes. The second component of the platform is HelPath, a mobile-based application, addressed to individuals identified with suicidal behaviour (ideation, planning or attempt). HelPath offers support for the remote and continuous collection of data for the assessment of risk factors and offers suggestions and activities based on Cognitive Behaviour Therapy that can prevent to commit suicide. The main functionalities of each component are described emphasising how each of these functionalities impacts in the different key actions required to get an integral strategy for suicide prevention.

Keywords

Suicide prevention Suicidal behaviours Clinical decision support system Embodied Conversational Agents 

Notes

Acknowledgements

This work has been funded by the “Fondo Sectorial de Investigación en Salud y Seguridad Social – FOSISS/CONACyT” under the research project 2016-1-273163 “Desarrollo de nuevas tecnologías y su integración al sector salud como ayuda a una estrategia integral de prevención del suicidio”. The first author also acknowledges the “Cátedras CONACyT” program funded by the Mexican National Research Council (CONACyT).

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Juan Martínez-Miranda
    • 1
    • 2
    Email author
  • Antonio Palacios-Isaac
    • 3
  • Fernando López-Flores
    • 3
  • Ariadna Martínez
    • 3
  • Héctor Aguilar
    • 3
  • Liliana Jiménez
    • 3
  • Roberto Ramos
    • 1
  • Giovanni Rosales
    • 1
  • Luis Altamirano
    • 3
  1. 1.Centro de Investigación Científica y de Educación Superior de Ensenada, Unidad de Transferencia Tecnológica Tepic - CICESE-UT3TepicMexico
  2. 2.Consejo Nacional de Ciencia y Tecnología - CONACyTMexico CityMexico
  3. 3.Servicios de Salud de NayaritTepicMexico

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