Member Article

Navenio Launches AI Powered Smart Tasking to Improve Hospital Efficiency and Reduce Patient Backlogs

●  The new technology, which several NHS Trusts have already adopted, is significantly reducing patient backlogs by automating task allocation for healthcare staff

Oxford, UK; [22nd August] – Navenio, a global leader in the delivery of Real-Time Location Services for hospitals and health systems, today announced the launch of its new AI Smart Tasking capability to improve hospital workflow and patient care.

The Smart Tasking feature, part of Navenio’s Intelligent Workforce Solution, ensures healthcare professionals can efficiently allocate tasks to the optimal staff member and seamlessly chain tasks, such as patient movement and ward cleaning. This ensures the “just in time” movement of activity, where as soon as one task is completed, the next related task is automatically triggered, allowing for continuous workflow and maximum efficiency.

One NHS Trust that has adopted the technology has already reported significant improvements, including a 62% decrease in task completion times, a 42% rise in self-service task bookings, and a 63% increase in task creation. These enhancements have been particularly beneficial in key departments such as A&E and radiology, ensuring better alignment with portering services, catering, and cleaning staff.

Connie Moser, Chief Executive Officer at Navenio, commented “The launch of our AI Smart Tasking function represents a significant step forward in our mission to transform hospital operations and patient care. By leveraging the power of AI, we are getting more nurses and healthcare teams back to the bedside and creating a streamlined process for staff and their patients.  We look forward to seeing how this enhancement will continue to generate benefits for care teams and technology partners across the globe.”

The tasking feature also empowers clinical and non-clinical staff to drive activity through tasking independently, reducing administrative burden and improving operational efficiency, supporting the smooth management of increased task volumes effectively.

This was posted in Bdaily's Members' News section by Lucy Jefferson .