Using artificial intelligence to improve treatment planning for patients in end-of-life care
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)
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 ID | NIH-11011483 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with advanced cancer or other severe chronic illnesses who are in need of palliative care.
Not a fit: Patients who are not facing life-limiting illnesses or those who are not in need of palliative care may not benefit from this research.
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 performed: 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
Aurora, UNITED STATES
- University of Colorado Denver — Aurora, United States (Active)
Researchers
- Principal investigator: Decamp, Matthew Wayne — University of Colorado Denver
- Study coordinator: Decamp, Matthew Wayne
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 below.