Supporting Social Workers with Summarizations of Patient Trajectories extracted from Documentation
Pages 77 - 81
Abstract
As the digitalization of documentation processes in social care institutions progresses, new opportunities emerge for supporting decision making processes. This paper presents a methodology for automatic text analysis of digitalized documents within disability care institutions as a way to summarize patient trajectories. For this purpose, a text mining methodology is used to track and visualize the change of topics, level of independence and the mood of patients over time. This work contains the discussion of a number of use cases for such an approach, as well as a description of the implemented framework and how the framework can support decision making.
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Index Terms
- Supporting Social Workers with Summarizations of Patient Trajectories extracted from Documentation
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Published In
August 2020
120 pages
ISBN:9781450375467
DOI:10.1145/3416028
Copyright © 2020 ACM.
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In-Cooperation
- Southwest Jiaotong University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 21 September 2020
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- Research-article
- Research
- Refereed limited
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- Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
Conference
IMMS 2020
IMMS 2020: 2020 3rd International Conference on Information Management and Management Science
August 7 - 9, 2020
London, United Kingdom
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