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Home-based patient care among AI applications being tested at next-gen 5G, 6G research centre

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In short

The National University Health System, Singtel, and Ericsson formalized a partnership on Nov 3 to evaluate advanced medical use cases using 5G-Advanced and 6G technologies. High-speed connectivity will support remote emergency wearables, autonomous hospital robotics, and augmented-reality surgical glasses designed to be lighter and more precise. The research centre also plans to implement AI systems that forecast patient admissions to better manage bed occupancy.

Key points

  • Advanced telecommunications infrastructure allows hospitals to deploy responsive remote t…: Advanced telecommunications infrastructure allows hospitals to deploy responsive remote tools for patients recovering outside traditional clinical facilities.
  • Offloading data-heavy operations to the cloud reduces the physical bulk of specialized me…: Offloading data-heavy operations to the cloud reduces the physical bulk of specialized medical hardware used during surgical procedures.
  • Combining artificial intelligence with next-generation network capacity enables predictiv…: Combining artificial intelligence with next-generation network capacity enables predictive modeling to streamline bed allocations and hospital patient flow.

Sources checked by our analysis pipeline: 1

- NUHS, Singtel and Ericsson have opened a research centre to test AI healthcare on 5G-Advanced and 6G networks, with plans for home care, robots and surgery support.

- The new networks should be faster, have lower lag, and be able to handle more data than current 5G. This could help cloud AI work better for hospitals.

- Possible uses include remote patient monitoring, slimmer smart glasses for surgeons, and better robot control. AI could also predict patient surges and suggest where to free beds.

AI generated

SINGAPORE – Wearable medical equipment powered by artificial intelligence picks up and assesses the seriousness of a sudden spike in blood pressure or heart rate anomaly in a hospital patient recovering at home.

If the readings signal an emergency, hospital staff caring for the patient remotely and emergency services are alerted in real-time to respond and help the patient.

This future, where hospital wards have no walls and the beds are in the patients’ own homes, is a step closer with the signing of a Memorandum of Understanding between the National University Health…

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