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

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.

新技术在预防和发现自杀行为方面的应用具有巨大潜力，可以接触到有风险的个体及其照顾者并立即为其提供支持，从长远来看，也能为医疗保健政策制定者提供支持。在本文中，我们描述了一个计算平台的开发，该平台通过两个主要组件来支持自杀预防活动。第一个是临床决策支持系统，其开发目的是帮助专家进行筛查、治疗管理以及为监测目的收集和分析与自杀相关的数据。该平台的第二个组件是HelPath，这是一款基于移动设备的应用程序，面向被认定有自杀行为（有自杀念头、计划或尝试）的个体。HelPath为远程和持续收集数据以评估风险因素提供支持，并根据认知行为疗法提供建议和活动，这些都可以预防自杀。文中描述了每个组件的主要功能，并强调了这些功能如何影响制定全面自杀预防策略所需的不同关键行动。