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

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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Publication Details

Published
2024-08-26
DOI
https://doi.org/10.1145/3670653.3670665
Citations
2
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
1.42

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article

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

Graham Dove, Bjoern M. Eskofier, Ignacio Avellino, Daniel Buschek et al.
2 citations
Electronic Health Records Systems
1.42
article

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

Graham Dove, Bjoern M. Eskofier, Ignacio Avellino, Daniel Buschek, Wendy E. Mackay, Anastasiya Zakreuskaya
article en
2 citations

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.

Centre National de la Recherche Scientifique (FR), Inserm (FR), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Université Paris-Saclay (FR), Sorbonne Université (FR), Centre Inria de Saclay (FR), Institut Systèmes Intelligents et de Robotique (FR), University of Bayreuth (DE)
National Science Foundation
Openalex Percentile: Top 14%
Electronic Health Records Systems
1.42
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