RADIAL ANALYTICS INC — National Science Foundation SBIR Phase I: SH
RADIAL ANALYTICS INC — SBIR Phase I award from National Science Foundation.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from National Science Foundation in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $225,000. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code SH links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $225,000
- Agency
- National Science Foundation
- Program / Phase
- SBIR · Phase I
- Topic
- SH
- NAICS
- —
- Place of performance
- MA
- Period
- 2016-07-01 → 2017-06-30
Description
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project focuses on using analytics and technology to benefit patients who require recovery care to get fully well after being discharged from the hospital. Transitions of care from acute (hospital) to post-acute (short-term rehabilitation and skilled nursing) settings impact millions of Americans every year. Seniors overindex on utilization of post-acute care, as a consequence of natural age-related degeneration and the need for longer recovery periods. By improving post-hospital coordination of care across the continuum, clinical outcomes and patient satisfaction stand to improve for America?s aging population. If successful, this project will help reduce costs of care for healthcare providers, payers, and government/society. The proposed project aims to incorporate and improve upon methods for user-centered data capture in healthcare. Our proposed platform will combine advanced machine learning techniques with a patient/family-centered business model. The innovation will harness multiple streams of healthcare data, such as electronic health records and claims data from both acute and post-acute care settings. If successful, this research will impact the state-of-the-art in healthcare analytics and outcomes measurement.