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Meeting the moment: Redefining the impact of managed services

By Kyle Knoke
March 25, 2026

Headshot_KyleKnoke_300x300Health systems have never been better equipped with technology yet rarely felt more stretched.

 

EHRs are mature. Analytics platforms are in place. AI initiatives are underway. On paper, the digital foundation looks strong. But inside healthcare organizations, a different reality exists. IT teams are overloaded, priorities compete for attention, and progress often feels harder than it should.

 

The problem isn’t a lack of tools or vision. It’s a lack of sustained capacity to support, optimize, and evolve complex environments at the pace healthcare now demands.

 

This gap between demand and capacity is becoming one of the defining challenges for healthcare leaders, and it’s forcing a reexamination of how support models are built, staffed, and scaled.

 

We recently conducted a survey of CHIME members, with the results reinforcing what we see every day working alongside leading health systems: traditional approaches to staffing and support are no longer sufficient. Thoughtfully executed team-based approaches, like managed services, have emerged as a practical way to close that gap, not by outsourcing responsibility, but by extending it.

 

The modern EHR environment: stable, complex, and always evolving

Most health systems operate within hybrid EHR ecosystems shaped by years of customization, acquisitions, regulatory change, and evolving care models. These environments are rarely “broken.” They function, often well, but they require constant attention to stay efficient and usable.

 

Maintenance, upgrades, integrations, and optimization never truly stop. Each change not only introduces downstream impact but competes with operational demands for limited time and expertise.

 

This creates a familiar tension for healthcare leaders: Do we focus on keeping systems stable today, or improving them for tomorrow?

 

When internal teams are already stretched thin, stability usually wins. It’s not because optimization isn’t valued, but because it’s harder to justify and sustain when day-to-day work consumes all available capacity. Over time, this tradeoff leads to technical debt, clinician frustration, and missed opportunities to extract more value from existing investments.

 

What healthcare leaders are really up against

When healthcare leaders talk candidly about their challenges, the conversation rarely centers on ambition. The goals are clear. The issue is execution.

Leaders consistently point to:

  • The ongoing effort required to maintain and support EHR environments
  • The complexity of managing upgrades without disruption
  • Integrating and governing AI tools without clear frameworks or dedicated expertise
  • Balancing optimization with strategic initiatives
  • Rising demand for analytics and reporting
  • Pressure to scale platforms and services without scaling headcount

These challenges are deeply interconnected. Analytics depends on clean, stable systems. Optimization depends on time and expertise. Innovation depends on both, plus the ability to sustain progress after go-live.

 

What’s changed is that optimization, analytics, and user experience are no longer optional enhancements. They are core to clinical performance, financial sustainability, and the overall patient experience. Yet many organizations lack the steady, predictable capacity to advance all of these competing priorities in parallel. Add to this the mounting pressure to evaluate, pilot, and govern AI, and the capacity gap widens even further. Most organizations don't yet have the internal expertise or bandwidth to pursue AI initiatives responsibly in tandem with day-to-day responsibilities.

 

Reimaging managed services

As these pressures mount, health systems are reconsidering how they structure and staff ongoing support and maintenance, and whether the traditional models are sufficient.

 

The old model of transactional support or ticket-based staffing is giving way to something more intentional. Healthcare leaders are prioritizing:

  • Cost predictability and a favorable total cost of support compared to FTE models
  • Quality and consistency of work
  • Deep EHR and healthcare domain expertise
  • Operational credibility
  • The ability to scale support up or down as needs change

Cost remains a primary driver, but the most sophisticated buyers have moved beyond pure cost arbitrage. They're looking for cost-effective support that doesn't trade quality for savings. Vendor size, geographic footprint, and flashy promises matter far less than trust and execution. Leaders want partners who understand the realities of healthcare operations and can be relied on to deliver consistently and effectively.

 

This reflects a more mature view of managed services. The goal isn’t to offload responsibility. It’s to extend internal teams with people who can operate as true partners, aligned to organizational priorities and accountable for outcomes.

 

Beyond maintenance: creating room for progress

One of the most notable shifts we see is how organizations define the scope of managed services.

 

Managed services are no longer confined to break-fix support or basic maintenance. With the right managed services partner handling foundational work, health systems are creating the capacity to:

  • Sustain optimization after go-live
  • Support analytics and reporting demands
  • Advance automation and AI initiatives
  • Improve patient access and consumer-facing workflows
  • Maintain momentum on strategic projects

This isn’t about replacing internal expertise. It’s about creating space. Space for internal leaders to focus on strategy, governance, and innovation, with confidence that the critical foundational work is being handled by experienced hands.

 

When managed services are designed and operating well, they create the stability and bandwidth that allows organizations to shift from reactive to proactive, leading to more focus on strategic initiatives and long-term growth and sustainability.

 

Post-go-live: where support models are truly tested

Post-go-live periods often reveal the strengths and weaknesses of support models. Initial implementation success quickly gives way to the realities of optimization, adoption, SLAs, and end-user experience.

 

Health systems face real constraints during this phase: staffing costs, budget limitations, and difficulty finding qualified talent in a competitive market. At the same time, expectations continue to rise.

 

As a result, organizations are increasingly open to flexible delivery models including nearshoring, driven largely by cost pressure. What's worth asking, though, is whether the savings justify the tradeoffs, and whether onshore models that deliver comparable economics might offer stronger continuity, accountability, and clinical alignment in the long run.

 

Managed services as a practical force multiplier

Healthcare leaders don’t need more tools or bigger promises. They need dependable capacity, deep expertise, and support models that reflect the realities of today’s healthcare ecosystem.

 

When managed services are done well, they act as a force multiplier, extending internal teams without adding burnout, enabling steady optimization instead of sporadic improvement, and supporting innovation without sacrificing stability. This is the difference between simply supporting systems and helping health systems make progress that lasts.

 

The organizations that are moving forward aren’t trying to do everything themselves. They are being deliberate about where they invest internal energy and where trusted partners can help carry the load.

 

In today’s healthcare landscape, that kind of clarity isn’t just practical, it’s essential.

 

 

 

Want to learn more about how Cardamom’s managed services can elevate your IT initiatives?

 

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About Author
Kyle Knoke

With over 8 years of experience in health IT, Kyle serves as a solution manager and project engagement leader, specializing in Epic strategy and implementations with a particular focus on Beaker projects and managed services. He has driven high-impact initiatives across multi-state academic institutions and regional hospitals, overseeing the full lifecycle of Epic deployments — from initial implementation and optimization to long-term system maintenance and managed services. His extensive experience with various Epic modules, including a deep specialization in Beaker strategy and various integrated Epic areas, has refined his technical expertise and strategic approach to complex health IT challenges. Kyle’s leadership in project management, engagement delivery, and managed services consistently ensures that every initiative meets the highest standards of quality and operational efficiency.

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