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Modeling human comprehension of Swedish medical records for intelligent access and summarization systems - Future vision, a physician’s perspective
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2011 (English)In: 9th Scandinavian Conference on Health Informatics, Oslo, Norway: tapir academic press , 2011Conference paper, Published paper (Refereed)
Abstract [en]

Physicians are daily demanded to read, understand and reach a summarized comprehension of earlier documentation for the patient at hand. This documentation includes medical procedures and clinical findings such as symptoms, observations, and diagnoses but also reasoning and speculation by previous physicians and nurses. The information is sometimes hidden in free-text in such a way that it requires an experienced medical background to decipher. Medical records are typically written with incomplete sentences, abbreviations, and medical jargon. A wanted tool when reading electronic health records is computer generated text summaries with the possibility to pose questions to an intelligent search tool. To realize this it is necessary to build models of how physicians read and understand unstructured free-text in medical records.

Place, publisher, year, edition, pages
Oslo, Norway: tapir academic press , 2011.
Keyword [en]
Electronic Health Records, Natural Language Processing, Information Storage and Retrieval, Data Mining, Abstracting and Indexing as Topic
National Category
Information Science
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-65064ISBN: 978-82-519-2820-5 (print)OAI: oai:DiVA.org:su-65064DiVA: diva2:460737
Available from: 2011-12-01 Created: 2011-12-01

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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