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Healthcare IT Teams Face Multiple Challenges

Destiny Bertucci
Auvik

Information technology serves as the digital backbone for doctors, nurses, and technicians to deliver quality patient care by sharing data and applications over secure IT networks. To help understand the top IT trends that are impacting the healthcare industry today, Auvik recently released a companion analysis for its 2024 IT Trends Report which analyzed survey responses from 2,000 IT professionals from North America and the UK, and compared results from professionals working in the healthcare industry to the larger sample. The report found that IT teams face multiple technical obstacles in their support for healthcare organizations.

Surprisingly, just 38% of IT professionals tracked end-user satisfaction as their top measure of success this year, down from 45% in 2023. Yet healthcare IT professionals spent more time responding to end-user requests compared to their IT peers in other industries. Almost three-fourths of healthcare IT pros (72%) spent 10 to 20 hours per week on these tasks, compared to less than two-thirds of overall IT professionals (64%).

Due to the increase in remote and hybrid work since the pandemic, less than 10% of internal IT teams said they still support a fully onsite workforce. But due to the human-touch aspects of the medical profession, healthcare IT professionals reported that 16% of their organizations still maintain completely onsite work environments. As a result, healthcare IT teams are more likely to maintain on-premises infrastructure.

Gaining Greater SaaS Visibility into the Network

Another surprising finding from the survey is the frequency with which healthcare IT teams back up network configurations compared to IT teams in other industries. Only 18% of healthcare IT respondents said they back up their networks daily, versus 27% across other sectors. Failing to perform backups regularly could lead to problems with data quality and network performance, and with resuming normal operations in the wake of a security incident or other network outage.

To be fair, 73% of healthcare IT environments still depend on aging legacy operating systems, according to data from HIMSS.org, and many of those networks host complex medical devices that require specialized management. In addition, implementing daily backups in healthcare can be logistically challenging due to the need for careful scheduling to avoid disruptions in patient care.

Another challenge involves the need for visibility into all cloud-based SaaS applications that run on the network, because IT professionals can't protect what they can't see. More than one-fourth of healthcare IT professionals reported having zero visibility into employees who shared accounts for SaaS applications (27%), which raises concerns about data security, privacy, and HIPAA regulatory compliance.

Unfortunately, it is a common practice in the healthcare industry for multiple employees such as nurses or admins to share a single security login for shared workstations. This practice introduces risks for unauthorized access and data breaches, particularly when employees fail to log out before leaving a workstation. It also allows former employees to maintain access to sensitive patient data after they have been offboarded.

To strengthen network visibility and security, IT teams can implement SaaS monitoring tools to automatically track accounts and activities across the entire organization. Another step involves hardening access controls to ensure that only authorized people are able to log into sensitive systems.

Closing the Talent Gap for Healthcare IT

Cost and budgetary constraints are always a concern for any IT team, however according to this year's finding, budget ranks as only the sixth biggest challenge for healthcare IT professionals. The top challenge for more than half of respondents involved a shortage of skilled IT professionals in the workforce (56%). That skills gap was followed closely by challenges involving network infrastructure and performance (50%); network visibility (49%); security and compliance (47%); and configuration management (39%).


In the healthcare field, IT networks are typically made up of multiple layers of interconnected webs, as most hospitals and clinics run separate networks for patient care, surgery centers, pharmacies, and labs. Other external IT functions may include support for insurance and billing, visitor Wi-Fi hubs, or applications for visiting physicians and therapists.

Of course, network security remains a central concern for healthcare IT teams. Over the coming year, healthcare IT professionals cited data loss prevention tools (51%), access-to-control tools (48%), and anomaly detection tools (47%) as their top choices to improve network security. Such tools highlight the importance of safeguarding patient data by monitoring network activity for unusual behavior, and managing user access to critical systems.

From meeting data privacy regulations to coordinating complex medical treatments, healthcare professionals must continuously navigate new challenges and technologies to deliver effective patient care, and IT has become central to that mission. Healthcare IT is an evolving field that requires constant foresight and planning to develop a clear technology strategy. That's why it is critical to periodically take the pulse of IT practitioners in the field to understand their most pressing concerns, and to consider strategies and solutions that can be implemented to improve patient care and enhance network security.

Destiny Bertucci is Product Strategist at Auvik

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Healthcare IT Teams Face Multiple Challenges

Destiny Bertucci
Auvik

Information technology serves as the digital backbone for doctors, nurses, and technicians to deliver quality patient care by sharing data and applications over secure IT networks. To help understand the top IT trends that are impacting the healthcare industry today, Auvik recently released a companion analysis for its 2024 IT Trends Report which analyzed survey responses from 2,000 IT professionals from North America and the UK, and compared results from professionals working in the healthcare industry to the larger sample. The report found that IT teams face multiple technical obstacles in their support for healthcare organizations.

Surprisingly, just 38% of IT professionals tracked end-user satisfaction as their top measure of success this year, down from 45% in 2023. Yet healthcare IT professionals spent more time responding to end-user requests compared to their IT peers in other industries. Almost three-fourths of healthcare IT pros (72%) spent 10 to 20 hours per week on these tasks, compared to less than two-thirds of overall IT professionals (64%).

Due to the increase in remote and hybrid work since the pandemic, less than 10% of internal IT teams said they still support a fully onsite workforce. But due to the human-touch aspects of the medical profession, healthcare IT professionals reported that 16% of their organizations still maintain completely onsite work environments. As a result, healthcare IT teams are more likely to maintain on-premises infrastructure.

Gaining Greater SaaS Visibility into the Network

Another surprising finding from the survey is the frequency with which healthcare IT teams back up network configurations compared to IT teams in other industries. Only 18% of healthcare IT respondents said they back up their networks daily, versus 27% across other sectors. Failing to perform backups regularly could lead to problems with data quality and network performance, and with resuming normal operations in the wake of a security incident or other network outage.

To be fair, 73% of healthcare IT environments still depend on aging legacy operating systems, according to data from HIMSS.org, and many of those networks host complex medical devices that require specialized management. In addition, implementing daily backups in healthcare can be logistically challenging due to the need for careful scheduling to avoid disruptions in patient care.

Another challenge involves the need for visibility into all cloud-based SaaS applications that run on the network, because IT professionals can't protect what they can't see. More than one-fourth of healthcare IT professionals reported having zero visibility into employees who shared accounts for SaaS applications (27%), which raises concerns about data security, privacy, and HIPAA regulatory compliance.

Unfortunately, it is a common practice in the healthcare industry for multiple employees such as nurses or admins to share a single security login for shared workstations. This practice introduces risks for unauthorized access and data breaches, particularly when employees fail to log out before leaving a workstation. It also allows former employees to maintain access to sensitive patient data after they have been offboarded.

To strengthen network visibility and security, IT teams can implement SaaS monitoring tools to automatically track accounts and activities across the entire organization. Another step involves hardening access controls to ensure that only authorized people are able to log into sensitive systems.

Closing the Talent Gap for Healthcare IT

Cost and budgetary constraints are always a concern for any IT team, however according to this year's finding, budget ranks as only the sixth biggest challenge for healthcare IT professionals. The top challenge for more than half of respondents involved a shortage of skilled IT professionals in the workforce (56%). That skills gap was followed closely by challenges involving network infrastructure and performance (50%); network visibility (49%); security and compliance (47%); and configuration management (39%).


In the healthcare field, IT networks are typically made up of multiple layers of interconnected webs, as most hospitals and clinics run separate networks for patient care, surgery centers, pharmacies, and labs. Other external IT functions may include support for insurance and billing, visitor Wi-Fi hubs, or applications for visiting physicians and therapists.

Of course, network security remains a central concern for healthcare IT teams. Over the coming year, healthcare IT professionals cited data loss prevention tools (51%), access-to-control tools (48%), and anomaly detection tools (47%) as their top choices to improve network security. Such tools highlight the importance of safeguarding patient data by monitoring network activity for unusual behavior, and managing user access to critical systems.

From meeting data privacy regulations to coordinating complex medical treatments, healthcare professionals must continuously navigate new challenges and technologies to deliver effective patient care, and IT has become central to that mission. Healthcare IT is an evolving field that requires constant foresight and planning to develop a clear technology strategy. That's why it is critical to periodically take the pulse of IT practitioners in the field to understand their most pressing concerns, and to consider strategies and solutions that can be implemented to improve patient care and enhance network security.

Destiny Bertucci is Product Strategist at Auvik

Hot Topics

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...