Virtusa to Lower Costs, Increase Efficiency with Click, Try, and Buy Marketplace for Healthcare and Life Sciences Companies

New vLife 4.0 Focuses on Key Therapies and Platform AI Methodologies to Ease Restarting Operations After Shutdown

SOUTHBOROUGH, Mass., June 09, 2020 (GLOBE NEWSWIRE) -- Virtusa Corporation (NASDAQ GS: VRTU), a global provider of digital strategy, digital engineering, and IT services and solutions that help clients change and disrupt markets through innovation engineering, today announced a new marketplace that provides Healthcare and Life Sciences organizations with click, try, and buy access to applications and solutions that will increase efficiency and lower costs, including for virtual care.

Virtual care visits are predicted to exceed 1 billion in 2020 due to the COVID-19 pandemic, ongoing care management, mental health needs, and the 2020 flu season, according to a new ForresterNow report.

Except for frontline medical professionals and first responders, Healthcare and Life Sciences organizations have been restricted in the type of work that can be done because of COVID-19. Elective surgeries, wellness appointments, clinical trials of new medications and devices have all been on hold.  In addition to restarting normal operations, Healthcare and Life Sciences organization must manage a massive backlog of patients, appointments, tests, and tracking results of clinical trials. 

The new vLife marketplace incorporates more than 500 AI-based technologies from Virtusa and partners that will be in demand as organizations restart operations. vLife has been redesigned from the ground up to process these critical workloads quickly while avoiding skyrocketing costs.

New capabilities delivered in vLife include computer vision, synthetic data generation tools, platform AI, and faster AI algorithms to gain high-level understanding from data, digital images, and videos.

For example, using these new capabilities, patients recovering from surgeries can upload photos and videos that track the progress of recovering from orthopedic surgeries, new tools can decipher, analyze, predict, and prescribe the location of anatomical bodies in ultrasonic images in under 50 milliseconds, Generative Adversarial Networks (GAN) can create large sets of synthetic data from a handful of images, and automating biomedical image analysis to accelerate the understanding of human cells and disease.