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CLINICOMP INTERNATIONAL, INC.
Total Committed Value of Federal Contracts
$196K
Total Contracts
2
Total Actions
8
Location
San Diego, CA

Recent Contract Actions

Contracts can have multiple “contract actions”: This is how agencies spend money for a specific purpose, adjust the amount committed or change the contract in a way that doesn’t affect the amount. That last scenario is usually indicated by a $0 action. If there is a contract action for a negative amount, it generally means the contract was adjusted or canceled.

Description Category Agency Signed Amount Committed
CLINICOMP ESSENTRIS BEDSIDE DATA ACQUISITION SYSTEM Information Technology Software Department of Veterans Affairs June 10, 2021 -$3,015
CLINICOMP DATA ACQUISITION SYSTEM, NORTHPORT VAMC, FY 2020, 4TH QTR Information Technology Input/Output and Storage Devices Department of Veterans Affairs July 29, 2020 $27,005
CIS-ICU EQUIPMENT SYSTEM Information Technology Input/Output and Storage Devices Department of Veterans Affairs June 16, 2020 -$2,420
COVID-19 UDAS AND CABLE CONNECTION Information Technology Software Department of Veterans Affairs June 09, 2020 $20,152
CLINICOMP ESSENTRIS BEDSIDE DATA ACQUISITION SYSTEM Information Technology Software Department of Veterans Affairs April 22, 2020 $35,970
CIS-ICU EQUIPMENT SYSTEM Information Technology Input/Output and Storage Devices Department of Veterans Affairs April 16, 2020 $38,533
UDAS INSTALLATION FOR RICHMOND VAMC. Information Technology Equipment System Configuration Department of Veterans Affairs March 31, 2020 $37,785
INTERFACE-HL7 ADT ECAREMANAGER Information Technology Equipment System Configuration Department of Veterans Affairs March 23, 2020 $42,017
About this data
This data comes from the Federal Procurement Data System, which includes all contracts worth $10,000 or more. We look at all contracts that are tagged with the procurement code for COVID-19 or otherwise started in 2020 and contain “COVID-19” in the description. Department of Defense contracting data is subject to a 90-day delay before it appears in the data.
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