ArticleJCO oncology practice2023
Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer.
Article in JCO oncology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 30 citations in OpenAlex.
- Automated patient selection and care coaches to increase advance care planning for patients with cancer.Journal of the National Cancer Institute · 2025Trial
- Review
- Exploring the application of Artificial Intelligence in palliative care and its practical, technical and ethical considerations: a scoping review.BMC palliative care · 2026Article
- Implementation of artificial intelligence in palliative and supportive care for people with cancer: A scoping review.Palliative medicine · 2026Article
- Barriers and Strategies to Effective Serious Illness Communication for Patients with End-Stage Liver Disease in the Intensive Care Setting.Journal of intensive care medicine · 2026Review
- Quality indicators and patient outcome measures for palliative care in cancer patients: a systematic review.Ecancermedicalscience · 2025Review
- Article
- Equity in Using Artificial Intelligence Mortality Predictions to Target Goals of Care Documentation.Journal of general internal medicine · 2024Article
- Artificial intelligence across oncology specialties: current applications and emerging tools.BMJ oncology · 2024Review
- Integrating Artificial Intelligence and Machine Learning Into Cancer Clinical Trials.Seminars in radiation oncology · 2023Review
- Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation Oncology.JCO clinical cancer informatics · 2023Article
- Improving serious illness communication: a qualitative study of clinical culture.BMC palliative care · 2023Article
- Study of Patient and Physician Attitudes Toward Automated Prognostic Models for Patients With Metastatic Cancer.JCO clinical cancer informatics · 2023Article
- Precision Palliative Care as a Pragmatic Solution for a Care Delivery Problem.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Article
- Growing the Next Generation of Oncology Researchers and Oncologists.JCO oncology practice · 2022Article
- Factors Shaping the Implementation of Serious Illness Conversations: Frontline Clinician Insights.Global qualitative nursing researchArticle
Corrections and comments
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Authors and funding
33 authors at 2 institutions in 1 country.
Funding
Abstract
purposePatients with metastatic cancer benefit from advance care planning (ACP) conversations. We aimed to improve ACP using a computer model to select high-risk patients, with shorter predicted survival, for conversations with providers and lay care coaches. Outcomes included ACP documentation frequency and end-of-life quality measures.
methodsIn this study of a quality improvement initiative, providers in four medical oncology clinics received Serious Illness Care Program training. Two clinics (thoracic/genitourinary) participated in an intervention, and two (cutaneous/sarcoma) served as controls. ACP conversations were documented in a centralized form in the electronic medical record. In the intervention, providers and care coaches received weekly e-mails highlighting upcoming clinic patients with < 2 year computer-predicted survival and no prior prognosis documentation. Care coaches contacted these patients for an ACP conversation (excluding prognosis). Providers were asked to discuss and document prognosis.
resultsIn the four clinics, 4,968 clinic visits by 1,251 patients met inclusion criteria (metastatic cancer with no prognosis previously documented). In their first visit, 28% of patients were high-risk (< 2 year predicted survival). Preintervention, 3% of both intervention and control clinic patients had ACP documentation during a visit. By intervention end (February 2021), 35% of intervention clinic patients had ACP documentation compared with 3% of control clinic patients. Providers' prognosis documentation rate also increased in intervention clinics after the intervention (2%-27% in intervention clinics,
conclusionCombining a computer prognosis model with care coaches increased ACP documentation.
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