Using AI to help patients understand their medical conversations better
Official title: MyDocSaid: Deep Learning for Patient-Centric Record, Summarization, and Analysis of Medical Conversations
Funded at Potentia Analytics INC · NIH-10823767 · Data updated 2026-11-12
This study is creating a helpful tool for older adults and their caregivers that makes it easier to understand and keep track of medical conversations with doctors, so they can better follow their care plans.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Potentia Analytics INC NIH-funded |
| Lab location | 1 site (Carbondale, United States) |
| Project start | July 22, 2024 |
| Project end | June 30, 2025 |
| Funding year | 2024 |
| Award (this year) | $284,317 |
| NIH project number | 1R41NR021089-01 |
| Project ID | NIH-10823767 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include older adults who frequently visit healthcare providers and their adult children who assist in managing their care.
✕Less likely to help
Patients who are not involved in managing their own healthcare or do not have complex medical needs may not benefit from this research.
What this research studies
This research focuses on developing a patient-centric health record system that utilizes deep learning and natural language processing to enhance how patients understand and manage their medical conversations. By addressing the common issue of patients retaining less than 10% of their care plans, the project aims to create a tool that allows patients to record and analyze their interactions with healthcare providers. The system will empower patients, particularly older adults and their caregivers, by providing them with searchable, easily understandable summaries of their medical discussions, thereby improving engagement and compliance with care plans.
Why it matters
Potential benefit: If successful, this research could significantly improve patient comprehension and engagement in their healthcare, leading to better health outcomes.
How similar studies have gone: While the approach of using AI for patient-centric health records is innovative, similar technologies have shown promise in enhancing patient engagement and understanding in healthcare settings.
Where this research is happening
-
Potentia Analytics INC
Carbondale, United States Active
Researchers
- Principal investigator: Marhamati, Nina — Potentia Analytics INC
- Study coordinator: Marhamati, Nina
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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.