We Want To Reimagine Patient Observation

Every day, hospitals face the same challenge: keeping
patients safe, protecting staff, and managing costs while coping with growing
demand and workforce shortages.

Many still rely on human sitters for constant bedside
observation. It can be a multi-million per month problem and an exhausting
approach that cannot always prevent:

• Falls or wandering that put vulnerable patients at risk

• Aggression or violence that endanger staff

• Self-harm or unsafe behaviour that goes unnoticed

• Infection control risks from unnecessary staff exposure

• Many More

Existing virtual sitter systems offer some help but depend heavily on live human monitoring through cameras. They are labour intensive, intrusive, and raise privacy and cybersecurity concerns, and also patient and staff perception challenges.

A Call to Innovators

The Digital Health Lab invites the innovation community to imagine a better way for hospitals to monitor patients quietly, respectfully, accurately, and intelligently.

Over twelve weeks, participants will engage with an active hospital to understand the problem directly, meet the people who face it every day, and help define what the next generation of patient observation could look like.

The Virtual Viewing Framework

To guide this exploration, Fusion Growth Labs has created a flexible model called the Virtual Viewing Framework. It is not a fixed plan but a supportive guide to inspire ideas.

It considers how the best available technologies, including smart beds, wearables, radar, ambient sensors, and privacy aware camera systems and Spatial AI technologies could work together to generate richer and more contextual insight.

Making Sense of Data

The opportunity lies in bringing all this information together, creating greater meaning from multiple data sources than any single solution can provide.

Spatial AI, Machine learning and reinforced learning can help these systems improve over time, detect new patterns, and adapt to new use cases. The vision is to create a platform that learns, grows, and remains open to future technology, allowing new sensors, algorithms, and research models to connect as innovation advances.

Trust is essential. Clinicians must be able to understand, trust and verify the insights produced without  false positives. Transparency, explainability, and interoperability are the foundation of responsible artificial intelligence, ensuring data can be shared safely and used with confidence.

Imagine the Future

Imagine a collection of best practice sensor combinations for specific care settings: fall prevention, wandering patients, or managing aggression in emergency wards.

No single technology can meet every need. The Digital Health Lab encourages collaboration, inviting participants to work together and explore new commercial models that can emerge through shared innovation.

Focus Areas

• Making sitters more effective and reducing reliance 1-on-1 sitter contexts through intelligent monitoring

• Detecting and predicting early signs of risk such as falls, aggression, wandering, or distress

• Improving safety while maintaining privacy and dignity

• Using artificial intelligence and machine learning to reveal patterns not visible to humans

• Building scalable, clinically trusted, and cost effective solutions

This is a globally validated problem across hospitals internationally, so we would love to see you apply now or join the information session to learn more about the lab.