Let Us Have the Conversation: Serious Illness Communication in Oncology: Definitions, Barriers, and Successful Approaches

DM Shilling, CR Manz, JJ Strand… - American Society of …, 2024 - ascopubs.org
Serious illness communications are crucial elements of care delivery for patients with
cancer. High-quality serious illness communications are composed of open, honest …

Applying human‐centered design to adapt the Jumpstart Guide for goals‐of‐care discussions in persons living with dementia

J Im, EK Kross, RA Engelberg… - Journal of the …, 2024 - Wiley Online Library
Background Goals‐of‐care discussions (GOCD) are uncommon in persons living with
dementia (PLWD) despite the likelihood of eventual loss of decisional capacity in the …

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors

EA Sloss, JP McPherson, AC Beck, JW Guo… - JCO Clinical Cancer …, 2024 - ascopubs.org
PURPOSE Use of artificial intelligence (AI) in cancer care is increasing. What remains
unclear is how best to design patient-facing systems that communicate AI output. With …

Clinicians' Use of Choice Framing in ICU Family Meetings

JL Hart, L Malik, C Li, A Summer… - Critical Care …, 2024 - journals.lww.com
Objectives: To quantify the frequency and patterns of clinicians' use of choice frames when
discussing preference-sensitive care with surrogate decision-makers in the ICU. Design …

[HTML][HTML] Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): Protocol for a Randomized Controlled Trial

B Osmanodja, Z Sassi, S Eickmann… - JMIR Research …, 2024 - researchprotocols.org
Background Patients after kidney transplantation eventually face the risk of graft loss with the
concomitant need for dialysis or retransplantation. Choosing the right kidney replacement …

Looking Beyond Mortality Prediction: Primary Care Physician Views of Patients' Palliative Care Needs Predicted by a Machine Learning Tool

L Rotenstein, L Wang, SN Zupanc… - Applied Clinical …, 2024 - thieme-connect.com
Objectives To assess primary care physicians'(PCPs) perception of the need for serious
illness conversations (SIC) or other palliative care interventions in patients flagged by a …

Predicting Individual Treatment Effects: Challenges and Opportunities for Machine Learning and Artificial Intelligence

T Jaki, C Chang, A Kuhlemeier… - KI-Künstliche …, 2024 - Springer
Personalized medicine seeks to identify the right treatment for the right patient at the right
time. Predicting the treatment effect for an individual patient has the potential to transform …

Association Between Intensity and Timing of Specialty Palliative Care and Hospice Exposure With Quality of End-of-Life Care

SE Wang, WS Gozansky, C Steiner, JS Lee… - Journal of Palliative …, 2024 - liebertpub.com
Background: Gaps remain in our understanding of the intensity and timing of specialty
palliative care (SPC) exposure on end-of-life (EOL) outcomes. Objective: Examine the …

[HTML][HTML] Factors Associated With and Characteristics of Patients Receiving Proton Therapy at the End of Life

M Bakhtiar, AA Butala, EE Berlin, JM Metz… - International Journal of …, 2024 - Elsevier
Purpose To identify the characteristics, indications, and toxicities among patients receiving
proton beam therapy (PBT) in the final year of life at an academic medical center. Materials …

Equity in Using Artificial Intelligence Mortality Predictions to Target Goals of Care Documentation

GM Piscitello, S Rogal, J Schell, Y Schenker… - Journal of General …, 2024 - Springer
Background Artificial intelligence (AI) algorithms are increasingly used to target patients with
elevated mortality risk scores for goals-of-care (GOC) conversations. Objective To evaluate …