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

Zakreuskaya A, Buschek D, Mackay WE, Avellino I, Dove G, Eskofier B (2024)


Publication Type: Conference contribution

Publication year: 2024

Publisher: Association for Computing Machinery

Pages Range: 99-109

Conference Proceedings Title: ACM International Conference Proceeding Series

Event location: Karlsruhe, DEU

ISBN: 9798400709982

DOI: 10.1145/3670653.3670665

Abstract

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.

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How to cite

APA:

Zakreuskaya, A., Buschek, D., Mackay, W.E., Avellino, I., Dove, G., & Eskofier, B. (2024). From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care. In ACM International Conference Proceeding Series (pp. 99-109). Karlsruhe, DEU: Association for Computing Machinery.

MLA:

Zakreuskaya, Anastasiya, et al. "From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care." Proceedings of the 2024 Mensch und Computer, MuC 2024, Karlsruhe, DEU Association for Computing Machinery, 2024. 99-109.

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