Using artificial intelligence to improve treatment planning for patients in end-of-life care
Official title: A mixed-methods study of the nature, extent and consequences of artificial intelligence (AI) for individualized treatment planning in end-of-life and palliative care (EOLPC)
Funded at University of Colorado Denver · NIH-11011483 · Data updated 2026-11-12
This study is exploring how artificial intelligence can help doctors create personalized care plans for patients in end-of-life and palliative care, making sure that treatment choices reflect what patients and their families want while also looking at any concerns about fairness and patient control.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project start | March 14, 2022 |
| Project end | December 31, 2025 |
| Funding year | 2025 |
| Award (this year) | $616,964 |
| NIH project number | 5R01NR019782-04 |
| Project ID | NIH-11011483 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients with advanced cancer or other severe chronic illnesses who are in need of palliative care.
✕Less likely to help
Patients who are not facing life-limiting illnesses or those who are not in need of palliative care may not benefit from this research.
What this research studies
This research investigates how artificial intelligence (AI) can enhance individualized treatment planning for patients receiving end-of-life and palliative care. By analyzing large datasets, including electronic health records, AI algorithms aim to predict patient prognoses and improve decision-making that aligns with patients' and families' preferences. The study also addresses potential concerns regarding the use of AI, such as algorithmic bias and the impact on patient autonomy. Through a mixed-methods approach, the research seeks to understand both the benefits and challenges of integrating AI into clinical practice.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and timely palliative care for patients facing advanced illnesses.
How similar studies have gone: Other research has shown promise in using AI for medical predictions, indicating that this approach could be effective, though it also raises new ethical considerations.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Decamp, Matthew Wayne — University of Colorado Denver
- Study coordinator: Decamp, Matthew Wayne
Related research
Other NIH-funded projects on the same topics.
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UNCOVER-PC: Helping people with advanced cancer and their families get better palliative care
A project at Emory aims to find the best ways to give palliative care early to people with advanced cancer and to understand how it helps patients and their caregivers.
-
Digitally supported community workers helping HPB cancer patients receive early palliative care
A pilot program uses digital tools and community health workers to bring early palliative care and support to people with HPB cancers and their caregivers.
-
ICUconnect 2: helping older ICU patients and families get better palliative care
A multi-site study will test a mobile app that helps ICU teams deliver personalized palliative care to older adults and support families.
-
Addressing fairness in AI models for asthma in young children
This grant aims to ensure AI tools used for diagnosing and managing asthma in children aged 0-11 work fairly for all socioeconomic and demographic groups.
-
Caring for Older African Americans: Training Clinicians to Provide Quality End-of-Life Care
This grant aims to adapt and deliver a training program for clinicians so they can better understand and meet end-of-life care needs of older African American adults in both the South and North.
-
Support-T: a mobile tool to help people with progressive pulmonary fibrosis and their caregivers get palliative care and planning
A mobile app called SUPPORT-T helps people with progressive pulmonary fibrosis and their caregivers access palliative care and plan for the future.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.