Etiometry | Top Clinical Intelligence Platform 2026
Healthcare Tech Outlook
Top Clinical Intelligence Platform 2026

Etiometry
Building Operations That Hold Under Pressure

Dakota Nettle, Etiometry | Healthcare Tech Outlook | Top Clinical Intelligence PlatformDakota Nettle, Packaging and Warehouse Manager at Western Sugar Cooperative, Etiometry
Operational turnaround is often described in dramatic terms such as a new strategy, major capital investment, restructuring or a sweeping cultural reset. My experience has been less glamorous. Most struggling operations do not need a speech. They need clarity, basic systems that are understood and followed and consistent reinforcement. People need to know what good looks like, what matters most and what happens when something goes wrong.

That lesson has followed me from military leadership into industrial operations. As an infantry officer, I learned that capable people can still perform poorly when information is late, standards are unclear and leaders react instead of anticipate. The same principle applies in manufacturing. At Western Sugar Cooperative, I stepped into a warehouse and packaging operation with experienced people, demanding production requirements and the realities of a legacy industrial environment. The opportunity was not to reinvent everything. It was to make the operation more disciplined, visible and reliable.

Start With a Clear Operating Picture

One of the first lessons military leaders learn is that good decisions depend on shared understanding. In the Army, we talk about maintaining a common operating picture. In a plant, the idea is almost identical. Production performance, downtime, maintenance priorities, staffing issues, quality concerns and unresolved problems have to be visible enough for people to act on them.

At Western Sugar, this meant improving shift handoffs, making reporting more consistent, creating visual management tools and increasing visibility into performance and downtime. Before a process can be improved, it has to be understood. Organizations can have plenty of data but little shared awareness when information is scattered across software, spreadsheets, emails or one supervisor's head.


Turnaround is not a moment. It is the accumulation of disciplined decisions until reliability becomes normal.

The goal is not more reporting for its own sake. It is getting the right information to the people who can do something with it.

Make Reliability a Shared Responsibility

Equipment reliability is easy to frame as a maintenance issue, but in practice, it is often a coordination issue. Maintenance cannot prioritize effectively if operations do not clearly communicate what is failing and what the production impact is. Operations cannot plan effectively if maintenance work remains invisible or constantly reactive.

The solution is not for one department to blame the other. It is to create a shared rhythm around priorities.

This became a major focus for us. We improved how maintenance needs were identified, discussed, prioritized and followed through. There was no single breakthrough project. Improvement came from a series of smaller changes that reduced ambiguity and increased accountability.

Over time, those changes contributed to roughly a 40 percent reduction in unplanned downtime and a 30 percent increase in packaging throughput. Combined production improved from the 13th-highest yearly average in our historical data in 2024, to sixth in 2025 and fifth in 2026 year-to-date. Individual packaging lines also began setting some of their strongest monthly and annual production marks.

The numbers matter, but the more important lesson is what produced them. Sustainable improvement came from better habits: clearer communication, stronger follow-up, more consistent standards and addressing small failures before they became large ones.

Discipline Should Make Work Easier

The word discipline can sound rigid outside the military. I do not use it to mean micromanagement. I use it to mean consistency. A disciplined operation is one where people do not have to guess how work gets handed off, who owns a problem, what the standard is or whether an issue will be followed up.

This is one of the most transferable lessons from military leadership. Good units build routines because routines preserve decision-making capacity when conditions become difficult. Rehearsals, standard operating procedures, battle rhythms and after-action reviews reduce preventable confusion so leaders and teams can focus on problems requiring judgment.

Industrial operations benefit from the same principle. Standard work, daily briefs, clear escalation paths, visible metrics and structured follow-up are not bureaucracy when they are designed well. They remove friction. The best systems make good performance easier and make problems harder to ignore.

Turnaround Has to Outlast the Leader

One of the dangers of improvement work is believing a few good months mean the operation is fixed. They do not. Equipment ages, people change roles, production demands shift and old habits return. A turnaround that depends entirely on one manager's energy is not really a turnaround. It is temporary overperformance.

That has been one of my most important lessons at Western Sugar. Leadership is not about personally solving every problem. It is about building an operation that becomes progressively less dependent on heroic intervention. The real test is whether the systems still work on night shift, during a difficult week, when the manager is absent, or when production is under pressure.

I still believe in ambitious targets and high standards. But I have become more skeptical of big transformations that skip the fundamentals. Most operations improve the same way strong teams do: one clear standard, one reliable process, one honest conversation and one solved problem at a time.

Turnaround is not a moment. It is the accumulation of disciplined decisions until reliability becomes normal.

Deep Dive

Clinical Intelligence Platforms in Modern Critical Care

Intensive care units generate an extraordinary volume of physiologic data every minute. Bedside monitors, ventilators, infusion pumps, laboratory systems and electronic health records each contribute streams of information that must be interpreted under time constraints. Hospital executives evaluating clinical intelligence platforms are not looking for additional dashboards. They are addressing variability in care, preventable complications and rising ICU costs driven by longer stays, readmissions and prolonged mechanical ventilation. The central question is whether technology can convert physiologic complexity into earlier, more confident clinical action without adding workflow friction. A capable and credible platform must move beyond simple aggregation. Hospitals require a system that normalizes high-resolution data from disparate devices into a coherent physiologic narrative clinicians can trust. Fragmented signals and alarm fatigue undermine adoption. A unified data model, continuous streaming and time alignment of inputs are essential if care teams are to see meaningful trends rather than isolated numbers. Tight integration into the electronic health record through single sign-on is equally important. Clinicians will not adopt tools that force them to leave established workflows or duplicate documentation. Hospitals also need measurable impact on outcomes that drive both quality metrics and financial performance. Reductions in ICU length of stay, unplanned readmissions and mechanical ventilation time translate directly into improved throughput and cost control. In this context, platforms must demonstrate that analytics and pathway automation are not theoretical. They should show how trending risk indicators prompt earlier interventions, how protocol adherence is supported across shifts and how care variation is reduced. Evidence that automation contributes to shorter vasoactive infusion duration or more timely spontaneous breathing trials signals that intelligence is influencing behavior at the bedside rather than being passive. Predictive analytics require particular scrutiny. Executives must evaluate whether algorithms are validated, transparent and grounded in real physiologic data already captured in the ICU. Systems that rely on opaque assumptions or introduce excessive alerts risk clinician resistance. The more compelling approach visualizes trajectories and contextualizes risk over time, enabling physicians and nurses to interpret patterns while retaining decision authority. Demonstrated regulatory clearances, peer-reviewed studies and deployment across diverse ICU populations provide reassurance that performance extends beyond a pilot environment. Scalability and configurability also matter. Large health systems operate neonatal, pediatric and adult ICUs with different protocols and patient populations. A platform must support hospital-defined pathways such as ventilation weaning or cardiogenic shock management, while maintaining consistency across sites. Backend flexibility, structured implementation support and the ability to align with local quality initiatives determine whether the system becomes embedded in long-term improvement efforts or remains a short-term project. Etiometry aligns closely with these expectations. It integrates monitors, ventilators, pumps, laboratory feeds and EHR data into a single physiologic framework, presenting time-aligned risk trajectories within existing workflows. Its FDA-cleared analytics, developed from tens of thousands of ICU cases, support earlier recognition of deterioration while preserving clinician judgment. Reported outcomes include meaningful reductions in ICU length of stay, readmissions, ventilation duration and vasoactive infusion time. The platform’s pathway automation, including automated identification of patients ready for spontaneous breathing trials, illustrates how intelligence translates into bedside action. Deployment across more than 150 ICUs and thousands of beds, supported by peer-reviewed evidence and a dedicated quality improvement application, positions Etiometry as a disciplined, scalable solution for health systems intent on standardizing critical care and achieving sustained clinical and financial gains. ...Read more