AIMC Topic: Advance Care Planning
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Large Language Models to Identify Advance Care Planning in Patients With Advanced Cancer.
Journal of pain and symptom management
Nov 24, 2024
CONTEXT: Efficiently tracking Advance Care Planning (ACP) documentation in electronic heath records (EHRs) is essential for quality improvement and research efforts. The use of large language models (LLMs) offers a novel approach to this task.
Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.
Journal of pain and symptom management
Sep 3, 2024
CONTEXT: Prognostication challenges contribute to delays in advance care planning (ACP) for patients with cancer near the end of life (EOL).
Natural Language Processing to Identify Home Health Care Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates.
Journal of the American Medical Directors Association
May 14, 2024
OBJECTIVES: Home health care patients who are at risk for becoming Incapacitated with No Evident Advance Directives or Surrogates (INEADS) may benefit from timely intervention to assist them with advance care planning. This study aimed to develop nat...
Bolstering Advance Care Planning Measurement Using Natural Language Processing.
Journal of palliative medicine
Feb 6, 2024
Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depen...
Equity in Using Artificial Intelligence to Target Serious Illness Conversations for Patients With Life-Limiting Illness.
Journal of pain and symptom management
Apr 11, 2023
Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.
Journal of pain and symptom management
Jul 14, 2021
CONTEXT: Large multisite clinical trials studying decision-making when facing serious illness require an efficient method for abstraction of advance care planning (ACP) documentation from clinical text documents. However, the current gold standard me...
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.
Contemporary clinical trials
Jan 23, 2020
INTRODUCTION: Patients with cancer often receive care that is not aligned with their personal values and goals. Serious illness conversations (SICs) between clinicians and patients can help increase a patient's understanding of their prognosis, goals...
Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records.
BMC medical informatics and decision making
Feb 28, 2019
BACKGROUND: Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health care services and facilitie...
Development of Personalized Health Messages to Promote Engagement in Advance Care Planning.
Journal of the American Geriatrics Society
Jan 25, 2016
OBJECTIVES: To develop and test the acceptability of personalized intervention materials to promote advance care planning (ACP) based on the Transtheoretical Model (TTM), in which readiness to change is a critical organizing construct.
Advanced Care Planning Content Encoding with Natural Language Processing.
Studies in health technology and informatics
Jan 25, 2024
While advanced care planning (ACP) is an essential practice for ensuring patient-centered care, its adoption remains poor and the completeness of its documentation variable. Natural language processing (NLP) approaches hold promise for supporting ACP...
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