SBIR Phase II: NLP Driven Automation for Optimizing New Patient Referral Pathways — NSF Award to IIAM CORPORATION (CA, $1,250,000)
The broader impact and commercial potential of this Small Business Innovation Research (SBIR) Phase II project lie in potentially improving the efficiency, accuracy, and equity of new patient referral triaging. Inefficient referral management leads to treatment delays, poor clinical utilization, and logistical bottlene
| Award title | SBIR Phase II: NLP Driven Automation for Optimizing New Patient Referral Pathways |
|---|---|
| Award ID | 2512998 |
| Awardee | IIAM CORPORATION |
| City | SAN FRANCISCO |
| State | CA |
| Amount obligated | $1,250,000 |
| Principal investigator | Max Jiam |
| Program | SBIR Phase II |
| Start date | 07/15/2025 |
| Abstract | The broader impact and commercial potential of this Small Business Innovation Research (SBIR) Phase II project lie in potentially improving the efficiency, accuracy, and equity of new patient referral triaging. Inefficient referral management leads to treatment delays, poor clinical utilization, and logistical bottlenecks— challenges that are problematic nationwide when transferring patient information across hospital systems. This project streamlines referral workflows, reducing administrative |
| Source | NSF Awards |
$799/mo
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