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Filtering by: Contributor LeBlanc, Thomas Research Type Patient Oriented

Using machine learning for targeted advance care planning (ACP) conversations in cancer patients: a quality improvement initiative

Description/Abstract:	Background: Despite improvements, patients with advanced cancer often do not receive goal-concordant care at the end of life (EOL). Challenges with prognostication contribute to delays ACP conversations and result in more aggressive care, gaps in...
Date:	August 1-2, 2024

Using Natural Language Processing to Assess Goals of Care Conversations for Patients with Cancer

Description/Abstract:	Background Goals of care (GOC) discussions during advanced serious illness and end-of-life (EOL) care are critical. Institutions are increasingly tracking the frequency and timing of GOC documentation, but large-scale content assessments have...
Date:	August 1-2, 2024

Palliative Care Use and End-of-Life Care Quality in ER+/HER2- Metastatic Breast Cancer

Description/Abstract:	Background: Metastatic breast cancer (MBC) is incurable, despite recent therapeutic advances resulting in extended trajectories of disease, especially in estrogen receptor positive (ER+) and human epidermal growth factor-2 negative (HER2-) MBC....
Date:	August 1-2, 2024