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1. Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support.

Author

Liu S, McCoy AB, Wright AP, Nelson SD, Huang SS, Ahmad HB, Carro SE, Franklin J, Brogan J, and Wright A

Subjects
Humans, Electronic Health Records, Natural Language Processing, Decision Support Systems, Clinical, Medical Order Entry Systems, Artificial Intelligence
Abstract

Objectives: To evaluate the capability of using generative artificial intelligence (AI) in summarizing alert comments and to determine if the AI-generated summary could be used to improve clinical decision support (CDS) alerts., Materials and Methods: We extracted user comments to alerts generated from September 1, 2022 to September 1, 2023 at Vanderbilt University Medical Center. For a subset of 8 alerts, comment summaries were generated independently by 2 physicians and then separately by GPT-4. We surveyed 5 CDS experts to rate the human-generated and AI-generated summaries on a scale from 1 (strongly disagree) to 5 (strongly agree) for the 4 metrics: clarity, completeness, accuracy, and usefulness., Results: Five CDS experts participated in the survey. A total of 16 human-generated summaries and 8 AI-generated summaries were assessed. Among the top 8 rated summaries, five were generated by GPT-4. AI-generated summaries demonstrated high levels of clarity, accuracy, and usefulness, similar to the human-generated summaries. Moreover, AI-generated summaries exhibited significantly higher completeness and usefulness compared to the human-generated summaries (AI: 3.4 ± 1.2, human: 2.7 ± 1.2, P = .001)., Conclusion: End-user comments provide clinicians' immediate feedback to CDS alerts and can serve as a direct and valuable data resource for improving CDS delivery. Traditionally, these comments may not be considered in the CDS review process due to their unstructured nature, large volume, and the presence of redundant or irrelevant content. Our study demonstrates that GPT-4 is capable of distilling these comments into summaries characterized by high clarity, accuracy, and completeness. AI-generated summaries are equivalent and potentially better than human-generated summaries. These AI-generated summaries could provide CDS experts with a novel means of reviewing user comments to rapidly optimize CDS alerts both online and offline., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Published
2024
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2. Mediastinal Lymphoma Presenting in Cardiogenic Shock with Superior Vena Cava Syndrome in a Primigravida at Full Term: Salvage Resection after Prolonged Extracorporeal Life Support.

Author

Carro SE, Essex DW, Alsammak M, Bains A, Toyoda Y, and Keshavamurthy S

Abstract

Primary mediastinal large B-cell lymphoma (PMBCL) is a rare type of non-Hodgkin lymphoma that typically has a good response rate to first line chemotherapy regimens. There have been reports of successful chemotherapy, but with a residual mass from fibrosis. Here, we report the case of a 19-year-old primigravida presenting with cardiogenic shock and superior vena cava (SVC) syndrome at full term who was found to have a PMBCL. Following delivery via urgent cesarean section, she was put on veno-arterial extra corporeal membrane oxygenation (VA-ECMO) and once hemodynamically stable was started on chemotherapy. In view of limited change in tumor size on consecutive CT scans and questionable response to chemotherapy, there were multidisciplinary meetings wherein withdrawing support was discussed and put forward to the family. At that point, surgical debulking was offered on compassionate grounds to be able to wean her off the VA-ECMO. This case report highlights the role of salvage resection when there are no other options.

Published
2019
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