Hamilton Medical and Etiometry bring AI-driven intelligence to respiratory care

Hamilton Medical, Inc. and Etiometry have announced a new U.S. partnership focused on bringing AI-driven, data-supported respiratory intelligence to intensive care teams managing mechanically ventilated patients.

The collaboration combines Hamilton Medical’s ventilation technology and high-fidelity ventilator data with Etiometry’s AI-powered Clinical Intelligence Platform. The companies aim to help clinicians turn complex, continuously generated patient data into actionable insights that can support decision-making at the bedside.

Founded in 1983, Hamilton Medical develops ventilation solutions for critical care and prehospital settings, while Etiometry, established in 2010, specialises in AI-driven clinical intelligence for critical care. Together, the companies are looking to connect advanced ventilation technology with analytics that can help clinicians interpret changes in a patient’s respiratory status over time.

Connecting ventilation data with clinical intelligence

Hamilton Medical’s portfolio includes Adaptive Support Ventilation (ASV), which continuously adapts ventilation based on a patient’s respiratory mechanics. Etiometry complements this capability by integrating high-frequency ventilator data with other clinical and physiologic information in real time.

Its platform applies advanced analytics and AI to help contextualise patient trajectories and surface clinically relevant insights. These insights are intended to augment, rather than replace, clinical judgement.

“Critical care teams are surrounded by an enormous amount of data, but the real value comes from turning that data into insights they can act on,” said Shane Cooke, CEO of Etiometry.

Cooke said the partnership brings together expertise in ventilation and AI-driven clinical intelligence to give care teams a more complete view of their patients. The approach is also intended to support timely review of clinically relevant changes and consistent use of hospital-defined protocols.

Supporting respiratory assessment across the ICU journey

The initial focus of the collaboration will be on several areas of mechanical ventilation, including clinician review of hospital-defined acute respiratory distress syndrome (ARDS) and oxygenation criteria, monitoring of lung-protective ventilation targets, and standardised assessment of extubation readiness.

By integrating ventilator and clinical data, the combined approach can automatically calculate respiratory parameters such as the P/F and S/F ratios, oxygenation index (OI) and oxygen saturation index (OSI). These measures can then be displayed and trended alongside ventilator settings and other clinical information.

The companies say this could help care teams review changes in respiratory status, identify deviations from hospital-defined targets and support clinician reassessment when intervention may be appropriate.

Etiometry has received 11 FDA clearances, and its platform is used by healthcare institutions worldwide, including academic medical centres and paediatric hospitals. The company says its technology is designed to support clinicians in making more data-driven and proactive decisions in critical care.

From ventilation delivery to continuous respiratory management

For Hamilton Medical, the partnership reflects a broader focus on how data generated during ventilation can be used to support clinical care.

“The future of ventilation is not only about delivering advanced therapy, but also about helping clinicians make the most of the rich data generated throughout that therapy,” said Robert Hamilton, CEO of Hamilton Medical.

The collaboration aims to create a more integrated approach to respiratory management by connecting ventilation technology with AI-driven clinical intelligence. Rather than relying on isolated data points, the approach is intended to help clinicians view respiratory parameters alongside ventilator settings and other patient information.

As ICUs continue to generate large volumes of continuous clinical and physiologic data, the partnership points to a growing role for AI and advanced analytics in helping care teams interpret that information and monitor the patient’s changing respiratory needs.

The companies say their longer-term goal is to support a shift from reactive respiratory management towards more proactive and personalised care, while keeping clinical judgement at the centre of decision-making.

Source

Business wire

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