At its core, every healthcare organization shares a common mission: to help patients heal, improve their quality of life and achieve better health outcomes. With this mission in mind, the role of AI in healthcare becomes clear: it must serve as an enabler of that outcome. Consider the story of a young patient admitted to a hospital requiring urgent care. Traditional diagnostics don’t yield clear answers fast enough. But using an AI-powered diagnostic tool, the care team identified the condition in hours, not days. With an accurate diagnosis and targeted treatment plan, doctors and nurses can provide adequate and efficient patient care.
AI’s momentum in healthcare is undeniable. From streamlining administrative tasks to enabling hyper-personalized treatments, AI is quickly becoming a transformative force.
AI usage in healthcare has surged, with adoption for administrative tasks more than doubling in the past year, from 25% in 2024 to 55% in 2025. It’s now expanding further into areas like personalized care, where more than half of U.S. organizations are using AI.
And yet, despite these gains, the industry is being dragged down by a harsh reality: the foundation needed to fully realize AI’s potential simply isn’t there. SOTI’s report, Healthcare’s Digital Dilemma: Calculated Risks and Hidden Challenges Exposed found that outdated systems create security risks and operational inefficiencies as 94% say interconnected mobile tech could improve patient care. These legacy platforms don’t just slow innovation but also create risk making organizations more vulnerable to cyberattacks and outages.
We’re standing at a critical junction. AI is here to stay. Healthcare is eager. But without the right infrastructure to secure AI operations, namely an Enterprise Mobility Management solution, healthcare organizations will continue to fall short of the outcomes AI promises to deliver.
Innovation is Outpacing Infrastructure
The adoption of AI in healthcare is accelerating across nearly every touchpoint. While its earliest use cases focused on administrative relief, AI is now moving directly into the patient care arena. Tools help providers identify treatment paths, predict complications and tailor interventions based on individualized data. In fact, SOTI found that U.S. now ranks second globally, with 55% of healthcare organizations using AI for personalized treatments, compared to 57% in the UK and 51% in Sweden, and well above the global average of 45%.
That said, the systems supporting these AI tools remain dangerously fragile. Data breaches, internal leaks and mismanaged mobile environments continue to plague organizations. The promise of AI rests on speed, precision and accessibility. When legacy systems delay the sharing of critical information or worse, expose sensitive patient data, the risks begin to outweigh the rewards.
Outdated Infrastructure Puts Patients at Risk
Today’s healthcare delivery is powered by mobile technology. Patient check-ins, bedside care, diagnostic imaging and medication tracking all rely on a constellation of mobile devices from tablets and smartphones to mobile printers and scanners. These tools are crucial to keeping providers connected, responsive and informed.
But the underlying infrastructure hasn’t kept pace. SOTI research shows that 31% of U.S. staff reported an inability to access patient data quickly. When a nurse can’t access test results in real-time, technology becomes a barrier instead of an enabler. These are moments of care lost, diagnoses delayed and trust eroded.
Enter Enterprise Mobility Management
While some healthcare organizations have adopted Mobile Device Management (MDM) tools, most say they aren’t equipped to meet today’s demands for security, compliance and visibility. What’s missing is true EMM, a more comprehensive, secure and scalable solution.
Healthcare IT leaders frequently cite the need for stronger security management, cyberthreat protection, application control, policy enforcement and remote troubleshooting. Modern EMM solutions address these needs head-on. By combining centralized device management with real-time diagnostics, EMM platforms enable IT teams to visualize operations, resolve problems remotely and enforce consistent protocols across the organization.
In this kind of environment, AI applications have the room to scale. Tools for remote monitoring, predictive care, and diagnostics can be deployed securely and maintained effectively, without relying on manual workarounds or risking downtime.
The Bridge from Data to Decisions
EMM platforms also unlock a layer of intelligence that many healthcare systems still lack. With tools like real-time analytics, historical playback and alerting systems, IT teams can anticipate problems before they occur. Battery drain, connectivity gaps and policy violations no longer have to be reactive fire drills, they can be proactively managed.
This kind of visibility improves uptime, reduces costs, limits burnout and allows leaders to continuously optimize their digital strategy based on data.
When EMM becomes the lens through which digital operations are monitored, organizations gain more than just control over their devices and data, they gain clear insight into system performance, user behavior and emerging issues before they impact patient care. Take even an organization’s only printer: with such a significant role in operational workflows, it’s essential to find effective ways to keep printers operational. A printer management solution enhances visibility and control, reducing the chances of delays or downtime, especially in healthcare, where every second counts.
Healthcare Has the Vision. Now It Needs the Backbone.
The desire to modernize is not in question. Healthcare leaders widely believe that better technology can improve patient care. There is real belief in the transformative power of AI and mobile technology, but belief alone isn’t enough.
What’s missing is investment in the digital foundation that makes these innovations sustainable, secure and scalable. The healthcare industry has always been resilient, often leading to breakthroughs that shape the future of society. As we enter the next phase of digital transformation, we must recognize that AI cannot stand a crumbling foundation.
EMM is an essential infrastructure. It provides the security, visibility and scalability required to support modern healthcare operations. The tools are out there. The urgency is clear. It’s time to strengthen healthcare’s digital foundation so that AI can finally fulfill its role of delivering better care.
