Learning how Clinicians Use Self-logged Behavior Data when Managing Patients with Alcohol Use Problems in a Clinical Setting
Journal
UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
Pages
73-76
Date Issued
2017
Author(s)
Abstract
Alcohol Use Disorder (AUD) is a debilitating psychiatric disorder capable of causing considerable distress at the individual as well as societal level. Obtaining a sound diagnosis of this disorder and formulating an effective treatment plan require that clinicians possess a comprehensive understanding of the developmental pathways and course of alcohol use. This study conducted role-playing interviews to gain insights that could help to guide the design of information systems capable of facilitating the diagnosis and treatment of patients with alcohol use problems.
SDGs
Publisher
Association for Computing Machinery
Type
conference paper