Healthcare

Improving healthcare delivery for hospitals and clinics through an integrated platform

E-Government

Streamlining E-Government Services through a collaborative platform

Artificial Intelligence

Revolutionizing retinal screening through deep learning system

Virtual Construction

Achieving lean construction through an integrated project delivery

About Nova Group

Innovative Application Software for Government & Healthcare

Nova is a leading provider of ready-to-deploy, industry-focused application software and services for both the Government and Healthcare sectors with an international track-record. Our products are developed based on our technical knowledge and in-depth understanding of industry demands and the clients’ requirements, thereby bringing improved productivity to our customers.

Through continued investments in research & development, we help our customers harness the benefits of leading-edge technology and grow in their organisations.

Healthcare

Healthcare is in many ways a niche industry. The management of hospital resources and treatment of its patients pose enormous challenges. Consequently, a proven track record and industry know-how are essential ingredients when one considers a partner to implement healthcare solutions.

Regardless of the size, our healthcare team and solutions offer hospitals and clinics a working system to simply connect people, share information, enhance patient safety and improve overall productivity.

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E-Government

While governments recognise the unique opportunity of harnessing ICT in delivering its services on a multi-channel service delivery platform, they have to contend with growing user expectation. Our e-Government solutions unite technologies with our domain knowledge to bring forth public sector transformation to achieve:

  • enhanced delivery of government services
  • improved interactions with business and industry
  • citizen empowerment through access to information
  • greater transparency
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Artificial Intelligence

Annual screenings for diabetic retinopathy to prevent vision loss can be more efficient and more cost effective with the new artificial intelligence (AI) system developed by the Singapore National Eye Centre (SNEC), Singapore Eye Research Institute (SERI) and National University of Singapore (NUS) School of Computing.

Other than diabetic retinopathy, the AI technology can also screen for glaucoma and age-related macular degeneration – the first system in the world to do so.

The AI technology uses a Deep Learning System (DLS), which attempts to think and make decisions like human intelligence, to differentiate those with and without the eye conditions. The study was published in the Journal of American Medical Association on Dec 12, 2017.

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Virtual Construction

The ever changing landscape of the Architectural Engineering & Construction (AEC) industries has stimulated a global movement towards Building Design Modelling (BIM). BIM’s digital planning model enables integration of both physical and functional information as well as allowing each individual component to be stored in a single digital model that can be retrieved by any parties at any time.

Our BIM solution has revolutionised the planning, designing, constructing and documenting stages into an integrated digital workflow that is coordinated and resulting in greater efficiency and productivity.

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Latest News

EYRIS SIGNS MOU WITH SINGAPORE OPTOMETRIST ASSOCIATION

Mar 2020 – Many amongst the general population are oblivious to the need for regular eye examination. To underscore this need, most of these eye conditions are silent and...

AI to detect papilledema from ocular fundus photographs

April 2020 – Papilledema is optic disc swelling due to high intracranial pressure possibly due to many factors such as cerebral hemorrhage, head trauma, meningitis, hydrocephalus, spinal cord lesions,...

EyRIS Founders Review Factors Influencing Performance of DLS

Mar 2020 – While the latest development in AI has been proven to be relatively accurate detecting retinal diseases, there has been little insight on what impacts clinical deployment...

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