Healthcare Computing Platforms for Connected Clinical Workflows

Avalue Technology will present a portfolio of healthcare computing platforms at DMEA 2026, focusing on connected clinical workflows across patient interaction, monitoring, and operating room environments. The solutions target hospitals seeking to integrate data, imaging, and edge computing into a unified healthcare IT infrastructure.

Extending digital supply chain into patient-facing systems
Healthcare providers are increasingly adopting digital supply chain approaches to connect patient data, clinical devices, and decision-support systems. Avalue’s portfolio addresses this requirement by combining patient engagement terminals with backend clinical monitoring systems.

The company will showcase a 21.5-inch medical-grade terminal designed for bedside deployment. The system integrates camera, audio, and NFC capabilities, supporting applications such as patient communication, infotainment, and identity-based interactions. Voice-controlled operation and optional noise-cancelling microphone arrays enable hands-free workflows, which are particularly relevant in infection-controlled environments.

A second system, a 15.6-inch medical panel PC, is designed for clinical monitoring applications. It complies with IEC 60601-1-8 standards, incorporating LED indicators and audio alarms for real-time patient status notification. These features support faster clinical response times and improved patient safety by standardizing alert mechanisms within hospital environments.

AI-ready infrastructure for hybrid operating rooms
In hybrid operating rooms (ORs), where imaging, surgery, and data processing converge, computing platforms must support high-bandwidth video and low-latency data integration. Avalue’s offering includes systems ranging from compact embedded computers to high-performance edge AI platforms designed for surgical video capture and streaming.

The company’s ecosystem integrates video management systems, infrastructure components, and capture cards, enabling scalable deployment of OR environments. This architecture supports real-time video distribution and recording, which are critical for minimally invasive and image-guided procedures.

A 4K surgical display with a 3G-SDI interface and brightness up to 800 nits will be presented, supporting high-contrast visualization under operating room lighting conditions. Multiple viewing modes allow clinicians to adapt display configurations based on procedural requirements.

High-resolution computing for imaging and AI applications
A newly introduced 27-inch medical panel PC is designed for imaging-intensive and AI-assisted clinical applications. The system features 4K resolution and PCIe expansion capabilities, enabling integration of GPUs and AI accelerators.

This configuration supports workloads such as medical image processing, real-time analytics, and decision-support algorithms. By enabling local processing at the edge, the system reduces latency and supports faster clinical decision-making within the healthcare environment.

Application scope across healthcare environments
The showcased solutions are applicable across inpatient care, clinical monitoring, and surgical environments. From bedside terminals that enhance patient interaction to OR systems that support image-guided interventions, the portfolio reflects a move toward integrated healthcare computing platforms.

These systems are designed to interoperate within broader hospital IT ecosystems, enabling consistent data flow from patient admission through treatment and recovery.

Exhibition context
Avalue will present these technologies at DMEA 2026, held from April 21–23, 2026, at Berlin ExpoCenter City, Germany. The event serves as a platform for digital health and medical IT, bringing together stakeholders across healthcare technology, clinical practice, and infrastructure development.

Positioning in smart healthcare infrastructure
The solutions align with the broader transition toward smart healthcare, where AI, edge computing, and interoperable systems are used to reduce operational complexity and improve care delivery.

By combining medical-grade hardware, standards-based monitoring systems, and AI-ready computing platforms, Avalue contributes to the development of connected healthcare environments that support both clinical efficiency and patient outcomes.

Edited by an industrial journalist Sucithra Mani with AI assistance.

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