Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care

Title data

Zakreuskaya, Anastasiya ; Buschek, Daniel ; Mackay, Wendy E. ; Avellino, Ignacio ; Dove, Graham ; Eskofier, Bjoern M.:
From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care.
In: Proceedings of Mensch und Computer 2024. - New York : Association for Computing Machinery , 2024 . - pp. 99-110
ISBN 979-8-4007-0998-2
DOI: https://doi.org/10.1145/3670653.3670665

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
AI Tools - Continuous Interaction with Computational Intelligence Tools
No information

Abstract in another language

Hospital physicians must navigate through vast quantities of patient information represented in text-based reports. Although intended to improve patient care, their effectiveness hinges on each physician’s ability to successfully handle and interpret fragmented information from diverse sources. The increasing automation of text interactions are a potential support but are still at the early phase of implementation in real-world scenarios. We observed 144 hours of clinical shifts in a German internal medicine hospital and collected structured field notes on physicians’ current practices with text-based reports to enrich existing understanding of the requirements for including automation to clinical text. We identified medical discharge letters as most frequently consulted text document and a qualitative analysis of the field notes revealed that this document acts as a key artifact that serves different roles and purposes in the hospitalization of a patient. Based on our findings we discuss possible loss of these nuanced uses through automation and propose design implications for medical text reports.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: electronic health records; medical discharge letters; text automation; text-based reports
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX > Chair Applied Computer Science - Univ.-Prof. Dr. Daniel Buschek
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 21 Oct 2024 11:31
Last Modified: 21 Oct 2024 11:37
URI: https://eref.uni-bayreuth.de/id/eprint/90757