Spending Analysis of Machine Learning–Based Communication Nudges in Oncology

TA Patel, J Heintz, J Chen, M LaPergola, WB Bilker… - NEJM AI, 2024 - ai.nejm.org
Abstract Background Serious illness conversations (SICs) in the outpatient setting may
improve mood and quality of life among patients with cancer and decrease aggressive end …

Long-term effect of machine learning–triggered behavioral Nudges on serious illness conversations and end-of-life outcomes among patients with cancer: A …

CR Manz, Y Zhang, K Chen, Q Long, DS Small… - JAMA …, 2023 - jamanetwork.com
Importance Serious illness conversations (SICs) between oncology clinicians and patients
are associated with improved quality of life and may reduce aggressive end-of-life care …

Effect of integrating machine learning mortality estimates with behavioral nudges to clinicians on serious illness conversations among patients with cancer: a stepped …

CR Manz, RB Parikh, DS Small, CN Evans… - JAMA …, 2020 - jamanetwork.com
Importance Serious illness conversations (SICs) are structured conversations between
clinicians and patients about prognosis, treatment goals, and end-of-life preferences …

Effect of integrating machine learning mortality estimates with behavioral nudges to increase serious illness conversions among patients with cancer: A stepped …

C Manz, RB Parikh, CN Evans, C Chivers, SB Regli… - 2020 - ascopubs.org
12002 Background: Most patients with cancer die without a documented serious illness
conversation (SIC) about prognosis and goals. Interventions that increase SICs between …

Clinician-and Patient-Directed Communication Strategies for Patients With Cancer at High Mortality Risk: A Cluster Randomized Trial

SU Takvorian, P Gabriel, EP Wileyto… - JAMA Network …, 2024 - jamanetwork.com
Importance Serious illness conversations (SICs) that elicit patients' values, goals, and care
preferences reduce anxiety and depression and improve quality of life, but occur …

[HTML][HTML] Behavioral economic implementation strategies to improve serious illness communication between clinicians and high-risk patients with cancer: protocol for a …

SU Takvorian, J Bekelman, RS Beidas, R Schnoll… - Implementation …, 2021 - Springer
Abstract Background Serious illness conversations (SICs) are an evidence-based approach
to eliciting patients' values, goals, and care preferences that improve patient outcomes …

Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a …

CR Manz, RB Parikh, CN Evans, C Chivers… - Contemporary clinical …, 2020 - Elsevier
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 …

Impact of behavioral nudges on the quality of serious illness conversations among patients with cancer: secondary analysis of a randomized controlled trial

EH Li, W Ferrell, T Klaiman, P Kumar… - JCO Oncology …, 2022 - ascopubs.org
PURPOSE: Serious Illness Conversations (SICs) are structured conversations between
clinicians and patients about prognosis, treatment goals, and end-of-life preferences …

Oncologist perceptions of algorithm-based nudges to prompt early serious illness communication: a qualitative study

RB Parikh, CR Manz, MN Nelson, W Ferrell… - Journal of Palliative …, 2022 - liebertpub.com
Background: Early serious illness conversations (SICs) about goals of care and prognosis
improve mood, quality of life, and end-of-life care quality. Algorithm-based behavioral …

[HTML][HTML] Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: secondary analysis of a …

E Li, C Manz, M Liu, J Chen, C Chivers, J Braun… - Plos one, 2022 - journals.plos.org
Background While health systems have implemented multifaceted interventions to improve
physician and patient communication in serious illnesses such as cancer, clinicians vary in …