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Research library

Health 4.0

Care that follows the patient: remote monitoring, patient digital twins, connected hospitals and remote procedures. What 6G adds: reliable, near-instant links for remote monitoring and remote procedures.

Of 32 findings in this theme, 18 are real today, 9 designed and 5 forecast.

Real today 18

  • 5G remote surgery trials exist, autonomy does not. 5G has been used in early remote-surgery trials because its low delay can carry some touch feedback. Fully autonomous robots operating in remote places were not working yet, although a lab robot catheter navigated by itself to a heart valve in an experiment.
  • A 2024 standard lets clinical wearables share data. IEEE/UL 2933, published in 2024, sets rules for wearable and hospital medical devices to exchange data with health records, built around trust, identity, privacy and security. HL7's FHIR is the main format for moving health records between systems.
  • Canada ran the first telerobotic surgery service in 2003. From February 2003 a surgeon in Hamilton operated robotically on patients in North Bay, 400 km away, with a local surgeon assisting. By 2005, 21 operations had been done with no serious complications.
  • Exoskeletons help some paralysed people stand and walk. ReWalk was cleared by US regulators for personal use in 2014. It helps some people with paraplegia stand, walk and climb stairs, using a battery pack and wrist control.
  • Fragmented health records block the data-driven future. Health data is digital but locked in silos: the US had around 700 incompatible record formats, and privacy rules limit pooling for research. The paper sees joining these silos as the biggest challenge for digital health.
  • Hospitals already use many kinds of robots. A 2018 IEEE review lists surgical robots, catheter robots that work inside blood vessels, medication and pharmacy robots, hygiene robots and companion robots. Medication robots take over repetitive chores so nurses can focus on patients.
  • Hospitals report time handed back to nurses. Diligent's named customers report results such as 9,900+ lab deliveries at one hospital and 6,350 pharmacy hours saved at another. A customer quoted by the company says nurses spent about 30 percent of their time on low-value tasks.
  • In some care homes, robots created extra work. Fieldwork in Japanese care homes found robots needed moving, cleaning, charging and watching. Staff stopped using a lifting robot after days, and residents lost interest in a humanoid exercise leader within weeks.
  • Japan funded care robots, but few homes use them. Japan's government spent over $300 million on care-robot research by 2018. Yet a 2019 survey of more than 9,000 elder-care facilities found only about 10 percent had any care robot, and a 2021 study found 2 percent of home-care providers had used one.
  • Moxi robots made 500,000 hospital deliveries by 2024. Moxi carries lab samples, supplies and medications for nurses and rides lifts on its own. Diligent reported 500,000 deliveries in October 2024 and 100,000 autonomous lift rides a month later.
  • Nanomedicines are real drugs; nanobots are not shown. Some medicines already use nanoscale particles, such as liposomal chemotherapy and iron-carbohydrate complexes, and NIST develops ways to measure them because small manufacturing changes alter safety. Tiny injectable and battery-free wireless sensors are being reviewed in research.
  • Quebec-made robot arm lets wheelchair users feed themselves. Kinova, founded in 2006 in Quebec, makes the JACO robotic arm, which mounts on a standard wheelchair and helps people with limited arm movement eat, drink and grab things.
  • Remote monitoring sends home readings to clinicians. Remote patient monitoring uses wearables such as blood-pressure cuffs, glucose meters and smartwatches to send readings from home to care teams; it is an established, growing part of care with its own standards work.
  • Robot seal Paro used in dementia care for decades. Paro, a furry seal robot from Japan's AIST, was shown in 2001 and sold from 2004; US regulators classed it as a medical device in 2009. Care homes use it to calm people living with dementia.
  • Robots spread from surgery to medication and companionship. Surgical, catheter, pharmacy, cleaning and companion robots are already used in healthcare. Non-surgical hospital robots were forecast to grow from about 18,000 in 2018 to 60,000 by 2025, and rehab robots may partly replace therapists.
  • Study: Japanese nursing-home robots did not cut jobs. Economists studying Japanese nursing homes found robot adoption went with more care staff on flexible contracts and easier staff retention, while regular nurses' monthly pay fell slightly.
  • Surgeon in Shanghai operated on patients 7,000 km away. Between December 2024 and April 2025 a surgeon in Shanghai performed five robotic cancer operations on patients in Kuwait City. Average round-trip delay was about 167 ms and there were no complications.
  • Vancouver researchers built a 5G remote-ultrasound system. A UBC research team, funded through a Rogers 5G partnership, combined mixed reality, touch feedback and 5G so an expert can guide an ultrasound scan from far away. The work won a best-paper award in 2022.

Designed, not deployed 9

  • 6G health ideas: vital signs, care robots, remote therapy. Studies feeding 3GPP list caregiving robots, measuring vital signs such as breathing by radio without wearables, secure sharing of medical data and AI models, and XR for remote therapy. 3GPP's 6G study also includes AI-driven personal health monitoring.
  • 6G's ultra-reliable mode explicitly names telemedicine. ITU's hyper-reliable, low-latency scenario lists telemedicine and emergency services among its uses, where a failed or late signal could have severe consequences.
  • A living computer model of each patient. A patient digital twin is a model of one person's body that keeps updating from sensors, scans and records so doctors can test treatments virtually first. Medical-device makers and researchers are piloting heart, chronic-disease and hospital twins, and federated learning lets hospitals train shared models without pooling raw data.
  • Autonomous systems move care out of the hospital. The white paper groups healthcare change into three shifts: care delivered away from hospitals, care tailored to each patient, and care driven by data from wearables and monitors. Robots and software 'soft robots' help with all three.
  • Essential implants must keep working without connectivity. Body-connected systems should be judged by how they fail. A wellness band can log a gap, but an implant supporting a vital function needs to keep operating locally with no cloud, and patients must be able to tell when monitoring has stopped.
  • Healthcare 4.0 brings factory automation into medicine. An IEEE review defines Healthcare 4.0 as Industry 4.0 tools (IoT, sensing, big data, AI, cloud, robotics) reshaping the whole care chain, aiming at preventive, predictive, personalised and pervasive care. It pictures a 'Caregiving Home' that senses, decides and acts through devices and nursing robots.
  • Medical body networks need predictable delay for alerts. A medical body network must handle routine readings, safety-critical alarms and commands to actuators differently. Routine data can wait; alarms and therapy commands cannot, and commands need authentication.
  • Proposed nano uses: targeted drugs, health tracking. The 2018 nanonetwork paper sketches nanocapsules that travel to a site, confirm arrival, release a drug on command and then shut down, plus nanodevices feeding wearable health trackers. It also proposes uses in disease detection in public spaces, farming and food packaging.
  • The 'Caregiving Home' joins sensors, AI and nursing robots. The Healthcare 4.0 paper describes a future home that senses a person's health, lets AI decide what to do, and closes the loop with home devices, medical equipment and nursing robots. It is pitched as an answer to population ageing.

Forecast 5

  • Assistive robots for walking and rehab expected soon. The review highlights wearable sensors and assistive robots for leg rehabilitation, and robots that help paralysed people walk. Authors expected them in daily care soon, after safety and usability improve.
  • Rehab robot maker Fourier moves into care humanoids. Shanghai-based Fourier began in 2015 making rehabilitation robots and exoskeletons, then built humanoids: GR-1 (2023), GR-2 (2024) and a GR-3 series pitched for care and companionship.
  • Rehab robots may take over part of therapists' work. The 2019 white paper expected rehabilitation robots to grow from $641 million (2018) to $6.4 billion by 2025, partly by replacing some therapist time. Patient digital twins could design each person's rehab plan.
  • Sensors push health checks closer and more often. The 2014 trillion-sensor vision saw health monitoring as a main driver: smaller devices, less expertise needed, more frequent readings linked to phones and records, and earlier detection of change.
  • Telemedicine and AR guidance tipped as health game-changers. Isaac Arthur argues telemedicine and digital health, not single cures, will transform care, helped by home health monitors. He imagines AR and VR letting top surgeons operate from across the world and AR guiding doctors like GPS.

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