Advancing Health Services through System Modeling Research
Sector: Manufacturing (Industrial) • Location: United States of America
Source: Grants.gov
NSF, in collaboration with the Health Information Technology (IT) Portfolio at the Agency for Healthcare Research and Quality (AHRQ), will accept and review investigator-initiated proposals that address systems modeling in health services research. The Service Enterprise Systems program in the Civil, Mechanical, and Manufacturing Innovation (CMMI) division of the Engineering Directorate will be th
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | NSF, in collaboration with the Health Information Technology (IT) Portfolio at the Agency for Healthcare Research and Quality (AHRQ), will accept and review investigator-initiated proposals that address systems modeling in health services research. The Service Enterprise Systems program in the Civil, Mechanical, and Manufacturing Innovation (CMMI) division of the Engineering Directorate will be the lead program on this interdisciplinary topic. Through this partnership, NSF and AHRQ look to foster new collaborations among health services researchers and industrial and systems engineers with a specific emphasis on the supportive role of health IT. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |