This is an increasingly complex environment financially for all health systems. You’ve got escalating expenses with labor, workforce management, supplies. You’ve got right now tariffs impacting the cost and supply chain. You’ve got Medicare, Medicaid reimbursements that are a limiting factor for the revenue capture for the hospital. So more importantly now than ever is standardization of the operations that’s both on the clinical side and the non-clinical side.

Predictability is key when you’re in an environment in healthcare, and you’ve lost control of everything. I’ve been a patient. I’ve had multiple family members that are a patient. You feel at a loss, so you want predictability to feel safe because nothing that is going on with you at that point in time is in any part of your control.

Data tells a story. And when I think about data overall and I think about what different metrics we need to be able to tell that story most effectively, it's going to be varied. And ultimately it's tapping in all of those different data points to understand how do I tell that story of understanding exactly what's taking place in that hospital. And more importantly, how do I take that data and figure out what change looks like?

Healthcare staffing shortages have been an ongoing issue in recent years, and they show no signs of improving. Operational leaders responsible for foodservice, environmental services (EVS), and patient transport are feeling the pressure more than ever.

Patient satisfaction isn't a soft metric; it's a proven factor that influences financial performance, patient retention, and long-term growth. As the healthcare industry becomes more competitive, the patient experience has emerged as a key differentiator.

Hospitals have access to a wealth of data, from throughput metrics to tray delivery reports, yet this abundance often leads to confusion rather than clarity. Reports accumulate, dashboards are frequently ignored, and leaders resort to relying on gut feelings or outdated processes simply because the way forward is unclear.