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

Published: 11 September 2017 Publication History

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.

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  • (2018)Al-lightProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649362:3(1-20)Online publication date: 18-Sep-2018

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  1. Learning how clinicians use self-logged behavior data when managing patients with alcohol use problems in a clinical setting

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    cover image ACM Conferences
    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
    September 2017
    1089 pages
    ISBN:9781450351904
    DOI:10.1145/3123024
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 11 September 2017

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    Author Tags

    1. alcohol use disorder
    2. psychiatric treatment
    3. self-logged use

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    • (2018)Al-lightProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649362:3(1-20)Online publication date: 18-Sep-2018

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