Research Article
Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours
@INPROCEEDINGS{10.1007/978-3-030-25872-6_7, author={Juan Mart\^{\i}nez-Miranda and Antonio Palacios-Isaac and Fernando L\^{o}pez-Flores and Ariadna Mart\^{\i}nez and H\^{e}ctor Aguilar and Liliana Jim\^{e}nez and Roberto Ramos and Giovanni Rosales and Luis Altamirano}, title={Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours}, proceedings={Pervasive Computing Paradigms for Mental Health. 9th International Conference, MindCare 2019, Buenos Aires, Argentina, April 23--24, 2019, Proceedings}, proceedings_a={MINDCARE}, year={2019}, month={7}, keywords={Suicide prevention Suicidal behaviours Clinical decision support system Embodied Conversational Agents}, doi={10.1007/978-3-030-25872-6_7} }- Juan Martínez-Miranda
Antonio Palacios-Isaac
Fernando López-Flores
Ariadna Martínez
Héctor Aguilar
Liliana Jiménez
Roberto Ramos
Giovanni Rosales
Luis Altamirano
Year: 2019
Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours
MINDCARE
Springer
DOI: 10.1007/978-3-030-25872-6_7
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.
