Classification and analysis of asynchronous communication content between care team members involved in breast cancer treatment

Autor: J Thomas Brown, Lina Sulieman, Jeremy L. Warner, Daniel Fabbri, Bryan D. Steitz, Kim M. Unertl, Alyssa L Davis
Rok vydání: 2021
Předmět:
Zdroj: JAMIA Open
ISSN: 2574-2531
DOI: 10.1093/jamiaopen/ooab049
Popis: Objective A growing research literature has highlighted the work of managing and triaging clinical messages as a major contributor to professional exhaustion and burnout. The goal of this study was to discover and quantify the distribution of message content sent among care team members treating patients with breast cancer. Materials and Methods We analyzed nearly two years of communication data from the electronic health record (EHR) between care team members at Vanderbilt University Medical Center. We applied natural language processing to perform sentence-level annotation into one of five information types: clinical, medical logistics, nonmedical logistics, social, and other. We combined sentence-level annotations for each respective message. We evaluated message content by team member role and clinic activity. Results Our dataset included 81 857 messages containing 613 877 sentences. Across all roles, 63.4% and 21.8% of messages contained logistical information and clinical information, respectively. Individuals in administrative or clinical staff roles sent 81% of all messages containing logistical information. There were 33.2% of messages sent by physicians containing clinical information—the most of any role. Discussion and Conclusion Our results demonstrate that EHR-based asynchronous communication is integral to coordinate care for patients with breast cancer. By understanding the content of messages sent by care team members, we can devise informatics initiatives to improve physicians’ clerical burden and reduce unnecessary interruptions.
Databáze: OpenAIRE
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