By Max Mosky, SVP Strategy & Innovation, Compass Healthcare
If you walk a hospital hallway in the morning, you’ll encounter the people who are making care possible: the environmental services professional turning a room with practiced precision, the food service worker delivering a patient’s first hot meal of the day, the biomedical technician running device checks to support clinical teams.
Each of these moments shapes something meaningful: a bed available sooner, a patient better nourished, a device ready when it needs to be. As health systems face growing operational pressure, the strategic relevance of support services is becoming a clearer focus.
Health systems today are managing simultaneous headwinds, such as higher patient acuity, persistent workforce shortages, rising costs, tightening margins, and rapid technological advancement.
But it also means more is possible. That is the shift. The organizations pulling ahead are not just adopting innovation, they are systematizing it.
In that environment, every function touching the patient experience must carry more weight. Support services can no longer be evaluated solely on siloed KPIs or whether they stay within budget. That’s expected. The real question is whether they are actively contributing to outcomes, throughput, safety, and the kind of patient experience that builds loyalty in an increasingly competitive market.
How AI, Technology and Innovation Can Change the Equation
The operational intelligence now available to support services teams is transformative. What does this transformation feel like? It’s predictive analytics that anticipate discharge patterns and pre-position environmental and transport resources before the surge arrives. It’s AI tools that analyze patient feedback and help apply proven solutions in similar settings. It’s menu and retail platforms that evolve based on what patients actually order, how they respond, and where waste and complexity are creeping into the operation. It’s equipment lifecycle platforms that can analyze real-world utilization and failure patterns to extend asset life and surface capital planning insights that finance and operations can act on together.
But technology alone won’t deliver this. Technology is the foundation. Data is how those systems learn. AI is how that intelligence becomes scalable. The organizations extracting the most value from these tools are doing more than just buying platforms; they’re investing in partners who combine analytical capability with institutional fluency to translate insight into action.
They are using it to continuously and relentlessly refine the operating model. Every room cleaned, every meal delivered, every task assigned, every delay avoided creates signal. The question is whether that signal is trapped in reports or translated into action. In high-performing systems, data is used prescriptively – to rebalance workloads, identify friction points, improve service recovery, refine menus, and help leaders make faster, more confident decisions.
And where AI becomes especially powerful is in scaling that intelligence across the enterprise. It reduces dependency on collective team knowledge, increases consistency, and gives frontline teams and leaders faster access to trusted answers in the moments that matter. It helps make systems more durable, especially in environments where turnover, variation, and complexity can otherwise erode performance over time. That is when innovation stops being episodic and starts becoming operational.
The System Advantage
When Compass Healthcare sectors operate inside a health system under shared governance – as they do for many major systems across the country – performance gains go well beyond efficiency. A unified analytics layer pulls environmental services turnaround data, meal quality scores, patient experience feedback, and labor metrics into a single view. Escalation paths are clear. Targets align. It’s system design.
Environmental services departments operating within this coordinated model have demonstrated room turnaround improvements of at least 14% compared to self-operated peers. These are real and measurable gains that translate directly into earlier admissions and improved capacity. On the food and nutrition side, menu engineering informed by live performance data reduces waste and remake rates while moving patient satisfaction scores in in very tangible ways.
Health system leaders need a partner who understands the complexity inside their walls, anticipates emerging challenges, and accepts shared accountability for outcomes. That distinction matters more now than ever. A vendor manages a service line. A true partner solves problems that you don’t even know about yet.
The Imperative
If support services at your organization are still evaluated primarily as a cost management exercise, it’s worth asking harder questions. Are the partners operating inside your walls contributing to your brand experience or simply executing to spec? Is your operational data functioning as an integrated intelligence layer across functions, or siloed inside separate vendor portals? Are the people doing this meaningful work every day genuinely embedded in your mission, or treated like outsiders?
The health systems that will lead in the years ahead won’t be distinguished by clinical technology alone. They’ll be differentiated and drive customer preference by how intelligently every layer of their operation works together, including the layers that don’t appear on a clinical dashboard. And the organizations that pull ahead will be the ones that do more than innovate. They will be the ones that build systems that let innovation scale.
That’s a competitive advantage hiding in plain sight.
Max Mosky is SVP of Strategy & Innovation at Compass Healthcare, a leading provider of support services unifying the specialized expertise of Morrison Healthcare, Crothall Healthcare, Intelas, TouchPoint Support Services, and Unidine Healthcare.