Every year, seasonal pressures stretch hospital capacity to its limits. Periods of increased admissions often force hospitals to postpone elective surgeries as staff and resources are diverted to more urgent care. Beyond the operational impact of this strain, the human impact is significant, with staff suffering from burnout and stress while patient well-being is placed under threat and roads to recovery put on hold.
The pressures are more than periodic disruptions. They are the straw that breaks the camel’s back – stress tests that reveal the underlying, structural fragility of the US surgical system. When demand fluctuates, even slightly, the margin for error becomes clear – highlighting the urgent need for greater efficiency to meet rising procedural demand.
During times of greater strain, capacity pressures escalate quickly due to rising inpatient admissions, emergency cases, and staffing gaps. These dynamics exacerbate existing delays, with the US recording 7.2 million surgical cancellations each year. The challenge has only intensified in the post-pandemic era, colliding with workforce shortages and rising procedural demand to create a negative feedback loop.
In this environment, small disruptions – such as one overrun case or delayed operating room (OR) turnover – can create ripple effects that cascade through entire systems.
This cascade effect points to the root of the problem: how seemingly minor inefficiencies can transform into systemic capacity challenges. This issue cannot be solved simply by building more ORs and hiring more staff, although investment into the surgical workforce and infrastructure is of course important. The more immediate opportunity lies in identifying and eliminating inefficiencies that limit the performance of existing capacity throughout the whole year.
Fluctuations in patient demand place additional pressure on healthcare professionals’ ability to deliver safe, effective surgery. For example, the CDC reports that the US 2024–25 influenza season (October-April) saw 127.1 influenza-associated hospitalizations per 100,000 population – illustrating how sudden increases in hospital admissions can quickly affect OR availability and surgical throughput.
Operational intelligence can help hospitals better navigate these pressures. Smart surgical systems, leveraging AI, increase visibility into how the OR is functioning in real time, and how it is likely to perform in the future. These insights empower teams to improve efficiency, with the aim of relieving pressures on staff and delivering better outcomes for patients.
Efficiency gains can also drive measurable cost improvements. A recent operational intelligence study found that up to 24% of OR time could be better optimized. For a health system with 60 ORs, that improvement could enable 9,000 additional procedures annually – equivalent to around $90 million in additional revenue.
Operational fragility is not simply an abstract efficiency problem; it directly affects care delivery and the well-being of patients and clinicians alike. Clinicians often face extended days, late finishes, and the emotional toll of seeing patients wait longer for essential surgery. Patients, meanwhile, suffer from delayed access to vital procedures and the emotional and financial consequences of unexpected disruption.
All because ORs are not being optimized.
Increasing resilience does not necessarily mean expanding surgical capacity. Instead, it requires improving visibility, coordination, and predictability within existing ORs. In practice, this means real-time awareness of procedural flow, predictive scheduling models, and data-driven forecasting – insights that help teams identify bottlenecks before they morph into crises.
In this context, AI emerges as a powerful source of operational insight. Applied responsibly, it can help anticipate strain, reduce avoidable disruption, and enable more stable surgical systems. Predictive analytics improve schedule accuracy, pattern recognition identifies inefficiencies which might be invisible to the naked eye, and simulation tools allow hospitals to model surge scenarios before they occur. Together, these capabilities support hospital leaders in making proactive, informed decisions to increase resilience.
AI is occasionally misunderstood as a futuristic tool designed to directly replace the human expertise of clinicians. In reality, its greatest value lies in augmentation, not automation. By capturing surgical data in real time and transforming it into actionable intelligence, AI supports better decision-making by both hospital leaders and frontline teams.
Seasonal pressures reveal that the US surgical system perennially operates with too little slack. When patient demand fluctuates, even modest disruptions – delays, schedule overruns, or cancellations – can have immediate consequences for both staff and patients.
The lesson is not that hospitals should brace for crisis during periods of higher demand. Instead, surgical systems must be designed to operate effectively under variable conditions, rather than assuming steady averages. With climate events, surges, and demographic shifts continuing apace, the pressures once considered occasional or atypical are increasingly becoming an everyday reality in healthcare.
Take surgical scheduling as one example. Case duration estimates frequently rely on historical averages that fail to account for the complexity of individual procedures or changing patient populations. This static decision-making leaves staff on the back foot, recovering from yesterday’s bottlenecks rather than implementing the practical changes that could prevent tomorrow’s.
Greater operational transparency can change that. Data-driven, connected ORs are emerging as the core foundational infrastructure for modern healthcare. AI-powered insights allow teams to intervene earlier and more effectively, improving procedural efficiency, staff wellbeing, and patient outcomes. These smarter systems harness the vast capabilities of modern technology to protect access and sustain surgical performance, even under significant pressure.
In other words, healthcare leaders must stop treating seasonal surges as unforeseen disruptions and instead recognize them as recurring stress tests that reveal where and how systems can improve. These periods provide critical insight into how surgical operations function under pressure, and how they can be strengthened.
The stress test will come again and again. What changes is whether we choose to learn from it.
Photo: gorodenkoff, Getty Images
Prem Batchu-Green is a Senior Healthcare Executive and General Manager, Americas at Proximie, where she leads the expansion of surgical telepresence and operating room intelligence across North America. Previously at Viz.ai and iRhythm Technologies, she has deep experience advancing AI-driven care pathways, evidence generation, and value-based care strategies. With a Doctorate in Physical Therapy and an Executive MBA from Northwestern University, she brings both clinical expertise and strategic leadership to improving surgical care delivery.
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