Creating a process for using machine learning in clinical decision-making
Engaging Multidisciplinary Health System Stakeholders to Create a Process for Implementing Machine-Learning Enabled Clinical Decision Support
This study is looking at how to make machine-learning tools easier for doctors and healthcare workers to use so they can help improve patient care, and it involves talking to everyone who will be using these tools to understand what works best for them.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10656387 on NIH RePORTER |
What this research studies
This research aims to develop a structured approach for implementing machine-learning tools in healthcare decision-making by engaging various stakeholders, including healthcare providers and technology developers. It focuses on understanding the challenges and facilitators of adopting these tools in real-world settings. By using a participatory modeling approach, the project seeks to ensure that the machine-learning systems are user-friendly and effective in improving patient care. The goal is to enhance the acceptability and feasibility of these tools in clinical environments.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients receiving care in healthcare systems that are exploring the implementation of machine-learning tools for clinical decision-making.
Not a fit: Patients who are not receiving care in systems utilizing machine-learning clinical decision support tools may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and user-friendly clinical decision support systems that improve patient outcomes.
How similar studies have performed: Other research has shown success in engaging stakeholders for implementing technology in healthcare, suggesting that this approach could be effective.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Sperber, Nina — Duke University
- Study coordinator: Sperber, Nina
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.