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Learning how clinicians use self-logged behavior data when managing patients with Alcohol Use problems in a clinical setting
Conference paper

Learning how clinicians use self-logged behavior data when managing patients with Alcohol Use problems in a clinical setting

Pei-Yi Hsu, Ming-Chyi Huang, Ya-Han Lee, Hao-Chuan Wang, Chuang-Wen You, Chuang-Wen You and Yaliang Chuang
UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, pp.73-76
09/2017

Abstract

Alcohol Use Disorder Psychiatric treatment Self-logged use Software Hardware and Architecture Computer Networks and Communications
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.

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