NHS Staff Boost Patient Interaction by 25% with AI Technology

The introduction of an AI-powered tool known as Tortus has significantly enhanced the efficiency of National Health Service (NHS) staff, allowing them to spend nearly 25% more time interacting directly with patients. This improvement was highlighted in a recent trial conducted across nine NHS sites in London, which involved approximately 17,000 patient interactions, including those from hospitals, general practitioner (GP) surgeries, mental health services, and ambulances.

Tortus employs advanced ambient voice technology that combines speech recognition with artificial intelligence. This innovative tool automatically transcribes medical consultations and generates summaries for healthcare professionals, enabling them to focus on patient care rather than administrative tasks. The trial found that the use of Tortus increased direct clinician-patient interaction by 23.5% during appointments and reduced appointment lengths by 8.2%.

Stephen Kinnock, the Health Minister, remarked on the importance of such technological advancements, stating, “This is exactly the kind of innovation we need as we work to build an NHS fit for the future and end hospital backlogs.” He emphasized that by alleviating the administrative burden on clinicians, the system not only improves efficiency but also strengthens the “human connection” at the heart of healthcare.

Positive Outcomes Across NHS Facilities

The trial, spearheaded by the Great Ormond Street Hospital for Children (Gosh), demonstrated the effectiveness of Tortus in various healthcare settings. Plans are underway to implement AI scribe technology across outpatient services starting this autumn. According to Dr. Shankar Sridharan, Chief Clinical Information Officer at Gosh, “This trial is significant as it shows the NHS can lead the way in safely adopting AI.”

In emergency departments, the application of Tortus led to a 13.4% increase in the number of patients seen per shift and halved the time required for completing initial patient notes. Dr. Ahmed Mahdi, a consultant in emergency medicine at St George’s University Hospital, explained, “In such a fast-paced, high-pressured environment, every second counts. This technology allows us to be more efficient, cut down on admin, and ultimately focus on patient care.”

Economic assessments conducted by the York Health Economics Consortium as part of the trial indicate that if Tortus were implemented nationally, it could facilitate an additional 9,259 A&E consultations each day. This could potentially save the NHS £176 million in documentation time and unlock £658 million in additional capacity annually.

The Future of AI in Healthcare

As the NHS explores more ways to integrate technology into its operations, the findings from this trial underscore the potential benefits of AI in healthcare. Dr. Vin Diwakar, Clinical Transformation Director at NHS England, noted the significance of allowing healthcare providers to allocate more time to patient interactions rather than administrative duties, stating, “Improving patient care and reducing the burden of administrative tasks is essential for the future of the NHS.”

The successful deployment of Tortus across multiple healthcare settings highlights the growing role of technology in transforming patient care. As the NHS continues to innovate, the focus remains on enhancing the quality of interactions between healthcare professionals and the patients they serve.