Software for better medical decision making
Quantitative Modeling Software with Applications to Medical Decision Making
This study is creating smart software to help doctors choose the best treatment options for patients by showing how different choices might work out, taking into account each person's unique situation.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Berkeley Madonna, INC. NIH-funded |
| Lab location | 1 site (Albany, UNITED STATES) |
| Project ID | NIH-10928814 on NIH RePORTER |
What this research studies
This research develops advanced software tools that help healthcare providers make informed medical decisions by modeling complex treatment options and their potential outcomes. Using decision analysis and computer modeling, the software simulates various patient scenarios to predict the effectiveness and costs of different treatment strategies. By incorporating uncertainties and individual patient characteristics, it aims to provide a clearer understanding of the benefits and risks associated with each option, ultimately guiding better patient care.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients facing complex medical decisions where multiple treatment options are available.
Not a fit: Patients with straightforward medical conditions that require standard treatment protocols may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment plans for patients.
How similar studies have performed: Similar approaches in decision analysis and modeling have shown promise in improving medical decision-making in other healthcare settings.
Where this research is happening
Albany, UNITED STATES
- Berkeley Madonna, INC. — Albany, United States (Active)
Researchers
- Principal investigator: Nayak, Smita — Berkeley Madonna, INC.
- Study coordinator: Nayak, Smita
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.