NUHS's Dr Ngiam has said that AI is at the centre of the hospital group's digital transformation. An example is its latest AI production platform called Endeavour AI that streams data and processes these data to produce outputs in real-time. It runs with NVIDIA DGX A100 at its core, which enables its AI tools to run quickly in the background and absorb data on a daily basis. Four applications from TIBCO Software were also employed in the AI platform to support the integration of medical data from EMR systems in real-time.

SINGAPORE - From a computer model that predicts how likely patients are to fall over to a device that creates 3D holograms to assist doctors, the healthcare of the future is looking towards artificial intelligence (AI). These new developments were showcased last Friday (Dec 11) by the National University Health System (NUHS) at the Singapore Healthcare AI Expo. "There is a digital transformation coming to the whole of society," said Professor Yeoh Khay Guan, chief executive of NUHS. "Healthcare systems are transforming worldwide and we must be ready for that." Increasing efficiency is a goal of Dr Siti Zubaidah Mordiffii and her team.

"I think the biggest trend (in healthcare) is towards greater integration. Traditionally, healthcare has been very fragmented, where many different groups serve specific clinical needs without necessarily coordinating with each other. But going forward, the trend is towards integration – not just of things like databases and systems, but integration of the way we process the data and how this influences the clinical workflow," said Prof Ngiam Kee Yuan, Group Chief Technology Officer of National University Health System (NUHS) in Singapore, in response to what he thought would be the key trends that will impact healthcare systems in future. It was with the same motivation and mission to best use the healthcare data for research at NUHS that led to the building and development of the DISCOVERY AI platform, which started about four years ago and the platform was officially announced in July 2018. The platform is what Prof Ngiam describes as a'sandbox' that allows the staff at NUHS to develop AI tools in a safe and equitable way – the platform is scalable and can be applied to more than one system within the organisation.

SINGAPORE - Outpatients could soon get to bypass snaking queues when they turn up for a clinic appointment, by simply peering into a camera. A new facial recognition tool notifies medical personnel when high-risk patients arrive so they can then decide whether the patients can be given prioritised care. The technology was showcased on Friday (July 6) at the National University Health System (NUHS) building at Singapore's first ever public Healthcare AI datathon and Expo. The event encourages tech experts and healthcare professionals to come together to develop artificial intelligence (AI) and smart tools to tackle challenges in the healthcare sector such as limited manpower. The six-day event, which runs till Sunday (July 8), has been organised jointly by NUHS, the National University of Singapore, AI Singapore - a programme set up to enhance artificial intelligence capabilities in Singapore, and the Massachusetts Institute of Technology.

SINGAPORE: Imagine stepping into a hospital outpatient clinic or polyclinic and skipping the long wait, just by looking into a camera. It is a facial recognition device which is able to match a patient to his or her medical and personal data. There is no manual registration or paperwork to be done. A text message will tell the patient which consultation room to head to, and the medical bill could even be sent directly to the patient's home or email address. This could soon become a reality at hospitals under the National University Health System (NUHS), with an artificial intelligence healthcare system called Discovery AI which incorporates different AI tools to make sense of the huge amount of hospital data.