This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) will support the development of an artificial intelligence (AI) solution for accurate medical coding to improve healthcare billing. The project, led by St. John's University in New York, aims to overcome limitations of current automated biomedical content annotation systems, such as bias, errors, and lack of adaptability. The AI-driven system will automate and optimize the medical coding process, alleviating administrative and cognitive burdens on healthcare professionals and promoting transparency, accountability, and trustworthiness in the healthcare industry. This use-inspired research will leverage the collective intelligence of humans and machines to improve the performance and reliability of automated medical coding, leading to better patient outcomes through minimized coding errors and precise reimbursement claims. The project will run from September 1, 2024, to August 31, 2026.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $550.0k | 8/28/24 |