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This Government Contract opportunity from Department Of Homeland Security was posted on August 21, 2017. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Emerging technology solutions for urban first responder's capability gaps

Closed
DHS-ST-RFI-0001Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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General Info

NAICS

541712 - Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)

Place of Performance

DC

Set-Aside

NONE

Documents

2

RFIP_CIMTA_042417.pdf

PDF

RFIP_CIMTA_Amended.pdf

PDF

AI Contract Breakdown

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Timeline

2 updates
PhaseClosed
Posted

special-notice

Notice updated

Response deadline changed from May 15, 2017 to May 22, 2017. The notice description changed.

Notice updated

Response deadline changed from May 22, 2017 to Aug 29, 2017. The notice description changed.

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Contract Administration Svcs Division
Contacts1 person available
OfficeWASHINGTON, DC, 20528, USA
Office AddressWASHINGTON, DC, 20528, USA
Contacts
NUSTLS&T CIMTA

Full Description

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This RFI has been amended to include the receiving technologies related to portable patient tracking as described below, with a closing date of August 29, 2017. The following information has been added: Portable patient tracking. Handheld standalone unit or application ("app") compatible with commercially available phones capable of documenting information on medical patients, including photographs, and basic descriptive and medical characteristics and data. Characteristic/data fields should be capable of customization and should include the ability to enter free form text/notes. System should be capable of transmitting field-collected photos and information from individual units into a centralized database with the ability to aggregate, query, and search across entries. Must include or be compatible with systems capable of facial recognition/matching using photos received from an outside source. System should be designed for both daily use by Emergency Medical Services personnel as well as during events requiring rapid information collection for a mass casualty event.

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Miguel
Hillary
Keith Deutsch
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