By Dennis Nikles, managing director of Vodafone IoT Americas
Modern healthcare is changing the way patients can live with long-term conditions.
Chronic diseases are being diagnosed earlier, managed more accurately, and monitored over longer timeframes – not just in hospitals and clinics, but also with connected devices that travel alongside patients.
For millions of people, managing a chronic illness no longer tethers you to a clinical setting.
Remote Patient Monitoring (RPM) has been healthcare’s structural response to this shift. It allows healthcare providers to manage, track, and treat patients outside the traditional clinical settings.
But as RPM scales, the infrastructure supporting it also needs to keep pace. Most deployments were designed for a static patient in a fixed location. So how do they need to respond when the fundamentals of delivery are changing?
We need to start rethinking connectivity from the ground up.
The landscape is changing, and connectivity needs to keep pace
The factors propelling such drastic change to healthcare systems are twofold: technological and social.
Together, they are advancing medtech’s potential to empower patients and clinicians alike.
From a technological standpoint, the advancement of connected devices has released patients from hospital wards.
Smaller, smarter sensors, which require lower power, can monitor conditions that traditionally required in-hospital treatment or clinical equipment.
To achieve this, however, devices need to stay connected as patients move across neighbourhoods, cities, and even countries, without requiring reconfiguration or losing connection.
This innovation couldn’t come at a better time.
Today, three in every four American citizens are living with a chronic health condition, placing enormous strain on the healthcare systems and driving the nation’s $5.3 trillion annual healthcare costs.
Alongside the globally ageing population – 22 per cent of the global population will be over 60 by 2050 – pressure on healthcare systems is intensifying.
So, monitoring systems are shifting – from inpatient check-ins to a direct line of contact between patient and healthcare professional with remote data signals.
But this has to happen reliably and at scale to alleviate the pressure on healthcare workers, while maintaining the highest standards for patient outcomes.
Unlike other connected devices, RPM has a different tolerance for connectivity failure. It is not an inconvenience, but a matter of patient safety.
Substandard connectivity as a clinical risk
Most current RPM deployments rely on connectivity models that were not designed for clinical use.
Issues could arise due to patient-managed Wi-Fi, consumer-grade broadband without service guarantees, or multiple network handoffs between devices and platforms.
While these models are pragmatic choices in many use-cases, a small lapse in connectivity can be detrimental, and in some cases life-threatening for patients trying to manage their chronic conditions.
For healthcare devices, one failed connection has more severe repercussions than, for example, an undelivered text message.
It means missed alerts, delayed responses, and decisions made without visibility over the complete data. When monitoring requirements are continuous rather than sporadic, the tolerance for failure drops to zero.
Consequently, connectivity is no longer an IT concern. It has become a clinical safety issue that must be designed into care models from the outset.
Even brief interruptions will break a thread of clinical stability that remote patient monitoring depends upon.
We must also consider data sovereignty
Healthcare is a global enterprise. Devices, patients, and clinical trials span continents.
For policymakers and healthcare commissioners in particular, the question isn’t only whether the data arrives on time, but also who controls it, and whether it meets the governance requirements of healthcare regulation.
But, again, most consumer connectivity models weren’t designed with these requirements in mind.
This elevates the argument beyond infrastructure reliability into one that must comply with the regulatory and procurement reality of healthcare.
The connectivity model underpinning remote care must be held to a clinical standard, which is where cellular IoT comes into the fore.
Why cellular IoT – and what it enables?
Cellular IoT directly addresses the dangers of fragmented connectivity models.
The most immediate is mobility.
Pre-configured, managed connections mean a device works wherever the patient moves, through cities to remote landscapes, without requiring reconfiguration.
For a cardiac monitor travelling with a patient from rural Minnesota to midtown Manhattan, continuity is non-negotiable.
Then there is the question of how data is governed.
Unlike consumer connectivity models, cellular IoT is built with auditability and security architecture that aligns with healthcare compliance requirements from the outset, rather than retrofitted to accommodate them.
Data flows are managed, traceable, and controllable in ways that directly address the sovereignty and confidentiality requirements.
For medtech innovators and Original Equipment Manufacturers (OEMs), there is a third dimension: the ability to support new and emerging device form factors.
Power management capabilities extend the operational life of low-battery devices. New sensors can be onboarded without requiring infrastructure changes on the ground.
The connectivity layer doesn’t constrain what can be built, but scales with it.
Finally, and perhaps most practically, cellular IoT removes the friction of patient-side configuration entirely.
No challenging home network setup, no troubleshooting when a patient moves, no support burden when something drops.
For RPM programmes operating at scale, operational simplicity is as important as technical reliability.
What is on the horizon for connected care?
Many healthcare IoT devices today rely on cellular technologies which are well-suited to low-power monitoring, mobile medical devices and remote patient telemetry.
These technologies will continue to be important, as well as the stability and longevity of the network supplier.
5G Standalone is a big part of this.
By enabling more responsive, high-capacity and service-specific connectivity, it can support richer healthcare use-cases like high-resolution remote consultations, connected ambulances, AR-assisted procedures and more advanced clinical monitoring.
In these environments, connectivity becomes more than just a channel for moving patient data and instead, becomes a core part of how care is assessed, delivered and coordinated.
AI also has the potential to redefine what is possible in medical care by changing how healthcare is delivered, monitored, and managed globally.
Wearable sensors and medical equipment generate real-time streams of patient data, which AI can analyse to enable more accurate diagnostics, personalised treatment plans, and proactive monitoring of patients.
This is only viable if the data feeding these systems is consistent, uninterrupted and trusted.
This is a practical infrastructure challenge.
Connected healthcare needs networks that can follow a mobile patient, support continuous or time-critical data from increasingly sophisticated devices, and preserve the integrity of the information on which clinical decisions may depend.
The patient has changed, the device has changed, and the infrastructure must change too.
Cellular IoT can’t simply be a connectivity upgrade. It’s the foundation that makes the next chapter of remote care clinically viable.
