Acuant ID document scanning to verify COVID-19 patient data for NeuroLab
Acuant has announced NeuroLab BI, a clinical lab optimization company, is licensing its ID document scanning technology to verify the personal data of COVID-19 patients.
The move is aimed at streamlining clinical laboratories’ work to enter complete and accurate patient identity information into their electronic medical records systems quickly and more efficiently.
“We are extremely excited about the new alliance with Acuant,” said NeuroLab CEO, Bryan Mack. “Their approach to innovation is well placed, comprehensive and the accuracy and efficiency of their API and workflow tools are unparalleled.”
Following the start of the collaboration, NeuroLab BI will have access to both Acuant IDscan and Acuant MedicScan.
The tools will be used to capture patient information upon arrival at the testing locations via scanning of government-issued identity documents, such as passports or driving licenses, as well as medical insurance cards.
The scanned information is then automatically entered in the LabSynapse software, then sent to an in-network laboratory and processed.
But the collaboration between the two companies goes even further. NeuroLab will now be using Acuant technology not only on mobile testing sites, but also with all its lab partners, who will receive full and timely reimbursement for the specimens they process.
“We are thrilled with the success that NeuroLab has achieved with Acuant,” said Yossi Zekri, president and CEO of Acuant.
Zekri defined data entry as a “slow and error-prone process that delays the testing process.”
“With Acuant’s cutting-edge image capture and auto-fill technology,” the CEO explained, “NeuroLab is able to dramatically ensure that clean data gets transmitted every time, that patients get their results as soon as possible and that labs get reimbursed quickly.”
Acuant also partnered with iProov to add its biometric authentication technology last month.
Acuant | biometrics | healthcare | identity document | identity verification | patient identification | patient records