Over the last two decades, the rapid surge in mobile and IoT-enabled devices has revolutionized patient care, but also created significant hurdles in managing, securing, and optimizing these devices to support seamless and secure clinician workflows. Healthcare CIOs face the daunting task of balancing accessibility, productivity, and security. In fact, a recent survey reveals that 83% of healthcare leaders are planning to invest in AI within the next three years, but fewer than 10% are investing in the infrastructure necessary to support enterprise-wide deployment.
To tackle this rising complexity, IT leaders are increasingly adopting AI-driven endpoint management solutions. These advanced tools use AI-powered monitoring and automation to manage thousands of devices across diverse platforms and locations. The result? A proactive, autonomous system that secures and optimizes device performance – detecting vulnerabilities, prioritizing risks, and taking remedial action – without requiring constant manual intervention.
Devices everywhere, but management and security need to catch up
As healthcare environments become increasingly mobile, managing and securing endpoints requires a new approach that prioritizes both security and user accessibility.
Instead of endless manual updates or device-specific troubleshooting, AI-enabled systems analyze device activity in real-time, detect threats, and implement updates or isolate risks automatically. Here are three ways that AI-driven endpoint management can ensure security and efficiency for sprawling device ecosystems.
1. Unified device management across platforms
Healthcare workers today rely on more than just desktops; smartphones, tablets, and other mobile devices are now essential tools for accessing electronic health records, communicating with colleagues, and reviewing medical imaging. But as these devices proliferate, they also introduce challenges, including gaps in credentials, identity verification, and secure access.
Manually managing this complex device ecosystem is not only resource-intensive—it increases security risks. AI-powered endpoint management changes the game by centralizing control. With AI capabilities, IT teams can maintain a unified inventory of devices, spot vulnerabilities with real-time analytics, and automate fixes like patching or quarantining compromised endpoints. This strengthens security while ensuring clinicians can keep working uninterrupted.
2. Streamlining the experience for clinicians and IT teams
The technology that enables clinicians to deliver more efficient care shouldn’t burden IT teams with constant manual device maintenance and security updates, and modernizing the patient experience shouldn’t come at the expense of IT bandwidth.
AI-driven endpoint management platforms can simplify day-to-day operations. IT teams gain centralized visibility across every device and platform while automating routine tasks like onboarding, updates, and troubleshooting. This frees IT professionals to focus on high-impact projects, rather than firefighting device issues.
On the clinician side, tools like password-free single sign-on (SSO) significantly reduce friction. Instead of repetitive log-ins across multiple devices and applications, SSO allows seamless and secure access, saving vital time. The result? Clinicians spend more time focused on patient care and less time battling technical barriers.
3. Adaptive security that anticipates threats
Healthcare remains one of the most targeted industries for cyberattacks, with the highest average data breach costs at $7.42 million in 2025. Staying ahead of malicious actors requires a defense that evolves as threats do.
AI-driven endpoint management delivers dynamic security that continuously learns and adapts. By monitoring device activity, the system can detect anomalies like unauthorized access attempts and act immediately by isolating the device, notifying IT, and preventing further risk.
Additional features such as automated patching, encryption, and data loss prevention create a robust security framework capable of protecting even the most diverse device fleets.
A Smarter, Patient-Centered Future
The proliferation of mobile devices in healthcare presents both challenges and opportunities. Tablets, smartphones, and IoT-enabled tools empower clinicians to deliver care more efficiently and collaborate more effectively. But ensuring these tools operate securely and without disruption is critical. AI-driven endpoint management transforms these challenges into opportunities by:
- Proactively detecting and resolving vulnerabilities before issues arise.
- Simplifying oversight with centralized, real-time visibility and control.
- Delivering adaptive security that evolves with emerging threats.
- Enhancing clinician workflows with intuitive, secure access.
By embracing innovative solutions like AI-powered endpoint management, healthcare IT leaders can turn device chaos into a strategic advantage. The payoff? A safer, more efficient, patient-centered healthcare ecosystem.
About Michael D. Robinson
Michael D. Robinson serves as Vice President of Healthcare Solutions at Omnissa. Michael has a proven record of success as a senior Information Technology executive across companies, including VMware, Microsoft, Hitachi Data Systems, and Sterling Software. Michael was a major contributor to the transformation of Omnissa when it spun out from VMware in 2024, demonstrating sustained results through alignment of critical business drivers and information technology in multiple markets and industries. He’s a dynamic change agent skilled in repositioning organizations into high-performing, results-oriented, customer-driven teams that consistently deliver exceptional customer value.
