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Author

Charlotta J. Lindvall

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Oct 2026

Augmenting the comprehensiveness and quality of serious illness documentation using large language models.

393 Background: Inpatient clinicians need timely access to prior serious illness conversations (SICs) for patients with advanced cancer. Although structured electronic health record (EHR) modules exist to document SICs, they are infrequently completed, and most SIC information remains embedded in free-text clin...

Justin Vinh, Nicole D. Agaronnik, Samira L. Dias et al. · 0 citations
Review Sep 2026

Large Language Models (LLMs) vs Manual Chart Review for Assessing Goal-Concordant Care: An Exploratory Study.

BackgroundEvidence that advance care planning (ACP) improves goal-concordant care (GCC) remains limited. Challenges are lack of reproducible operational definition of GCC and labor-intensive nature of manual chart review.ObjectivesDevelop a structured approach to adjudicating GCC and compare large language model (LLM)...

Charlotta J. Lindvall, Andrea Liebowitz, Kaitlin Emmert-Tangredi et al. · 0 citations
Review Open access Sep 2026

Validation of a Natural Language Processing-Assisted Chart Review Method for Identifying Advance Care Planning Documentation in Pediatric Critical Illness.

OBJECTIVES Reliable measurement of advance care planning (ACP) is essential for evaluating both communication practices and quality of care in pediatric critical illness. However, most ACP documentation is embedded in free-text clinical notes and cannot be captured using administrative data, while manual chart review i...

Emily J. Upham, Suzanne R. Gouda, Charlotta J. Lindvall et al. · 0 citations
Aug 2026

Development and Validation of a Natural Language Processing Algorithm to Identify Social Isolation in Older Surgical Patients.

BACKGROUND Social isolation is increasingly prevalent among older adults and is associated with adverse health outcomes, yet its impact in surgical populations remains poorly defined. Lack of systematic measurement during surgical care has limited large-scale investigation of social isolation and its associations with...

Daniel I. Hoffman, Sydney Moore, C. Sheu et al. · 0 citations
Open access Jul 2026

Development of a benchmarking dataset for symptom detection using large language models

A pipeline for evaluating large language models (LLMs) on the task of capturing symptoms from clinical encounters and a gold standard dataset of symptom annotations from simulated doctor-patient encounter excerpts are developed.

Joshua Davis, B. Durieux, Chloe Van Dongen et al. · 0 citations

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