On context-aware evidence-based data driven development of diagnostic scales for depression

Abstract

There is a growing interest in health information technology using evidence-based approaches in clinical decision-support systems, the goal for such systems is ‘precision medicine’ using ‘interventional infor-matics’. However, the impact has been less than positive and it has been argued that interventional informatics using data-driven interventions is required to achieve evidence-based clinical decision-support. In this paper we discuss context-Aware, evidence-based, data driven development of diagnostic scales created using multi-disciplinary collaborative development. The goal is the development of novel dynamic scales for decision-support in healthcare provision and, while clinicians may derive benefit from such systems, there are potentially greater benefits for all stakeholders in medical triage systems using both face-to-face and remote consultations. While our focus lies in depression, the proposed approach will generalise to a diverse range of domains, systems, and technologies.