Automation & IoT: Revolutionizing Healthcare Logistics & Security

Clem Robertson, a technology veteran and founder of R4DAR Technologies—a leader in autonomous systems—explains how automation can transform healthcare post‑COVID‑19, provided that data accuracy and integrity are assured.

The UK’s National Health Service (NHS), established in 1948, remains central to every British political agenda. Faced with shrinking budgets and rising expectations, the NHS must deliver exceptional patient care while operating under increasing financial pressure.

Since March, despite shortages of personal protective equipment, dedicated hospital staff and outreach teams have risen to the challenge of the pandemic, preventing a far graver crisis.

The pandemic has highlighted the healthcare sector’s reliance on manual procedures for security, daily operations, critical supply delivery, and emergency coordination. Blue‑light services still depend on staffed control rooms to manage first‑response teams.

Hospitals still depend on labor‑intensive workflows to determine bed occupancy or locate life‑saving supplies. Organ banks and research labs, for example, face irreversible consequences when urgent deliveries are delayed beyond acceptable time windows.

Eliminating Human Intervention

Imagine a CCTV camera that automatically pivots and zooms to an area of interest without manual input. Envision specialist beds or ICU equipment being tracked in real time using existing security infrastructure paired with low‑cost identification tags. Picture drones delivering life‑saving donor organs or vaccines, with real‑time status updates ensuring accountability and traceability.

As healthcare facilities gradually resume normal operations, automation will play a crucial role in establishing robust fallback systems that capture the necessary location, security, and situational data—often without human oversight.

One critical opportunity lies in automating the location, classification, and identification of essential assets and key personnel, while reliably distinguishing them from their surroundings under any lighting or weather conditions. Current CCTV systems either sweep scenes randomly or require an operator to point the camera at a target area.

The ideal is to eliminate the need for a manual operator, but existing technologies are limited and expensive.

Current camera and LiDAR systems sometimes fail to deliver the detail required in challenging conditions—poor lighting, adverse weather, or distances beyond 100 m. An embedded solution that enhances sensor fidelity is needed to provide unambiguous data for rapid, accurate decisions.

A Disruptive Approach

A consortium of researchers, academics, and commercial partners—including R4DAR Technologies—is pioneering a validation and accuracy framework for situational and positional data, bringing this vision closer to reality.

Designed to complement existing CCTV, drones, and other tracking tools, the consortium is exploring how to enhance situational awareness to identify what and who is present, where they are, and what they are doing.

In practice, this would allow a CCTV controller to label key personnel—paramedics, police officers, essential workers—directly on the video feed, accompanied by a real‑time location map of the incident.

The same principles can be applied to drones and other tracking devices to accelerate deliveries and monitor the status of equipment, patients, and supplies throughout a facility.

Service Automation

Healthcare organizations have long overdue a technological overhaul, yet obstacles such as cost, legacy systems, and infrastructure gaps have stalled progress. The NHS’s repeated warnings about its diminishing capacity to meet even routine demands suggest that the pandemic’s aftermath could finally trigger the necessary change.

Automation promises to protect patients and staff from future outbreaks and deliver significant operational savings over time. The key is certifying the reliability of the data before deployment.

Author: Clem Robertson, founder of R4DAR Technologies.

About The Author:

Clem Robertson is a technology veteran with over 25 years of experience in embedded engineering, integrated circuit design, program management, and B2B product delivery across diverse markets—including fabless semiconductors, RF & telecoms, automotive, medical, and defense.

He has a proven track record of building and leading multidisciplinary teams that deliver world‑class technologies for object and subject data capture, and has held senior roles at Plextek, Nurija, and Airvana. More recently, he has pioneered next‑generation imaging radar technologies for multiple sectors, including runway foreign object damage (FOD) detection. He founded R4DAR Technologies in April 2019.