The role of managed services in modern healthcare

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stephanie wang
General Manager, IT Services

Stephanie Wang is the General Manager of IT Services at Canon Business Services, leading teams responsible for end to end customer engagement across solution design, implementation, and ongoing managed operations. With a strong focus on technical excellence, process optimisation, and continuous improvement, her team enables customers to achieve their business objectives while delivering long term value.

With more than 20 years of experience across professional services, corporate leadership, and managed services, Stephanie has led major transformation initiatives, enterprise technology programs, and strategic acquisitions. Since joining Canon in 2005, she has been instrumental in strengthening our services capability and embedding a strong customer centric culture.

Last updated Thursday 18 June 2026

From cost control to care enablement

Hospitals and health services don’t experience IT as “technology”. They experience it as time.

Time clinicians lose logging tickets. Time nurses spend rebooting devices instead of rounding. Time spent waiting for a system to come back after an outage. Time wasted switching between applications that don’t talk to each other. Time that should have gone to patients.

It’s one reason traditional IT operating models are buckling. The job is no longer “keep the lights on” for a stable environment. Healthcare is now managing a complex mix of on-prem systems, cloud platforms, clinical applications, legacy devices, cybersecurity obligations, and an always-on service expectation, while budgets tighten and workforce pressure keeps rising.

That’s why the role of managed services is changing. It’s not just a lever for cost control. In healthcare, done well, it becomes an enabler of care: Stabilising the systems that clinicians depend on, reducing disruption, improving oversight, and freeing internal teams to focus on digital health outcomes.

“In healthcare, IT is part of the care pathway. When systems fail, it directly impacts the speed and quality of patient care, and clinicians wear the impact.”

Stephanie Wang, General Manager-IT Services at Canon Business Services ANZ


Why traditional IT models struggle under modern healthcare demands

Many healthcare organisations in New Zealand still operate with a model built for a different era: A small internal team managing infrastructure and applications directly, supported by a few vendors for specialist tools.

Today, that model collides with reality.

Healthcare environments are typically:
  • High-stakes and always on (downtime isn’t “inconvenient.” It can be patient-critical)
  • Fragmented by necessity (multiple clinical systems, multiple sites, specialist apps, vendor constraints)
  • Heavily regulated (privacy, identity controls, auditability, reporting, security obligations)
  • Resource constrained (skills shortages, budget pressure, change fatigue)

The result is an operational mismatch: Too many moving parts, too many handoffs, and insufficient capacity to manage service performance proactively across the entire estate.

Traditional models also struggle because they’re reactive by default. The day’s priorities are set by what breaks first. And in healthcare, something always breaks first.

The true cost of running ageing, fragmented environments

Ageing, fragmented environments don’t just increase technology spend. They increase the cost of running the organisation.

The hidden costs show up as:
  • Recurring disruptions from brittle infrastructure and ageing platforms
  • Inconsistent performance across sites, devices, and clinical workflows
  • Manual workarounds that erode efficiency and staff morale
  • Risk exposure from patching gaps, legacy dependencies, and inconsistent access controls
  • Budget waste through overlapping licences and underutilised platforms

There’s also a leadership cost: when the environment is complex and poorly instrumented, decision-makers don’t have clean visibility into what’s happening, what’s improving, and where risk is building.


Reducing disruption to clinicians and frontline teams through proactive management

In healthcare, IT performance is measured by interruptions. So, one of the most valuable shifts managed services can offer is moving from reactive support to proactive prevention.

That includes:
  • Monitoring and early warning for issues before they escalate
  • Patch and vulnerability management that reduces security incidents without constant manual effort
  • Standardised device management that lowers failure rates and improves clinician mobility
  • Root cause analysis that reduces repeat incidents rather than closing tickets quickly

The point isn’t just fewer incidents. It’s fewer interruptions to clinical time.

"Every disruption has a clinical cost. Proactive management and designing processes aligned to care delivery models improve system reliability, responsiveness and continuity; supporting improved outcomes and the delivery of critical care services with minimal disruptions." say Stephanie.

When we design managed services well, we also reduce the friction clinicians often feel with IT: Inconsistent response, unclear escalation, and the sense that no one truly owns the outcome.

A mature model provides clear ownership and clear expectations:
  • What gets resolved at first contact
  • What gets escalated
  • What timelines apply
  • How recurring problems are permanently addressed

Improving financial and operational oversight with real-time service insights

Healthcare leaders are being asked for clearer accountability. Not just “is IT running?” but “is it improving, and is risk being managed?”

That requires real-time service insights that connect performance to outcomes.

Examples include:

  • Service availability and performance trends (by site, system, and clinical criticality)
  • Incident volumes and recurrence patterns
  • Mean time to restore service, and where escalation bottlenecks exist
  • Patch compliance and vulnerability exposure
  • Licence and cloud consumption trends, tied to business units and workloads

For CFOs and operational leaders, this kind of visibility turns IT from a black box into something measurable: a set of controllable levers.

For CIOs and clinical leaders, it helps prioritise the work that matters most: Stabilising patient-critical systems and reducing disruption in high-pressure areas.

Automated optimisation across cloud platforms, applications, and licences

Cloud adoption has helped many healthcare organisations move faster. But it’s also introduced a different kind of cost problem: Variable consumption, licensing complexity, and “death by a thousand add-ons.”

Optimisation is no longer optional. It’s how you prevent the cloud from becoming an uncontrollable meter.

A managed services model can support:
  • FinOps discipline: Visibility, forecasting, guardrails, and optimisation of cloud spend
  • Licence rationalisation: Reducing duplication, aligning tiers to needs, managing usage ceilings
  • Application performance monitoring: Identifying hotspots and avoiding slowdowns that feel like “system failure” on the floor
  • Automated patching and compliance reporting: Reducing manual effort while improving security posture

This is where automation matters. Not flashy automation. Practical automation that reduces operational effort and increases control.


Predictable service models replacing reactive, high-pressure support

A reactive model is exhausting. It creates burnout, frustration, and constant escalation. It also makes budgeting difficult because everything becomes an emergency.
managed services
In healthcare, predictability is a safety feature. It reduces uncertainty for clinicians. It reduces risk for leadership. And it reduces pressure on internal IT teams, who are often doing extraordinary work under difficult conditions.

“When everything is urgent, nothing improves. Predictability creates space to stabilise, plan, and move forward." says Stephanie

Strengthening security, resilience, and availability for patient-critical systems

As connectivity increases and threats evolve, healthcare has become a high-value target. At the same time, many environments carry legacy constraints: older devices, vendor-managed clinical systems, and patching complexity that doesn’t exist in standard enterprise IT.

Managed services can strengthen security and resilience by building controls into day-to-day operations rather than bolting them on after an incident.

This often includes:
  • Security monitoring and response aligned to healthcare workflows
  • Identity and access controls that reduce credential risk
  • Segmentation and network controls around sensitive systems
  • Vulnerability management tailored to legacy and clinical devices
  • Backup, recovery, and resilience planning for critical systems

Availability isn’t only an IT metric in healthcare. It’s an operational requirement.

And resilience isn’t theoretical. It’s what decides whether a disruption becomes a brief interruption or a serious event with patient impact.

Redirecting internal teams toward innovation and digital health outcomes

The biggest strategic value of managed services is not “outsourcing”. It’s capacity creation.

When internal teams are no longer buried under tickets, patch cycles, and constant operational noise, they can focus on work that moves healthcare forward:
  • Improving clinical workflow and user experience
  • Supporting digital health programs and new models of care
  • Modernising clinical platforms safely
  • Strengthening data foundations and reporting for better decisions
  • Partnering with clinicians on change adoption and outcomes
This is where managed services become care enablement: enabling the organisation to innovate without sacrificing stability.

Where Canon Business Services ANZ can help

CBS partners with organisations to modernise IT operations to deliver real-world outcomes, especially in high-stakes environments such as healthcare.

Depending on your needs, CBS can help you:
  • Reduce disruption through proactive service management and monitoring
  • Improve cost control and oversight through service insights and optimisation
  • Automate routine operations across cloud, applications, and licences
  • Strengthen security, resilience, and availability for critical systems
  • Create predictable, accountable service models that scale with demand
  • Free internal teams to focus on innovation and digital health outcomes

The goal isn’t simply to run IT more cheaply. It’s to run it more safely, more predictably, and with better outcomes for clinicians and patients.

Question to leave you with: If your clinicians had one less interruption per shift caused by systems friction, where would that time go?

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