Health Technologies

NHS waiting times and patient experience data AI SML benchmarks

Waiting times are now one of the biggest challenges for the new government and NHS, with ~7.6 million patients waiting for Acute and ~1.5 million for Mental Health Services.

To tackle the pressing issue of escalating waiting time challenges,

The figure above ranks NHS trusts with available data on waiting times by the highest proportion of negative data points, highlighting the top 5 acute trusts with the most negative reviews: East Sussex Healthcare NHS Trust, Bradford Teaching Hospitals NHS Foundational Trust, Barking, Havering and Redbridge University Hospitals NHS Trust, London North West University Healthcare NHS Trust and The Royal Wolverhampton NHS Trust.

This ranking provides critical insights into patient experiences across different trusts, offering a clear picture of where improvements are most urgently needed.

For the 5 lowest ranking trusts, the historical referral to treatment (RTT) waiting times data across all services from April 2022 to May 2024 are also shown.

This data reveals whether there has been any improvement in waiting times over this period, providing a clearer picture of their performance.

Among the top 5 worst-performing trusts identified in our social media listening analysis, London North West University Healthcare NHS Trust has the highest increase in waiting times (+64%).

This dataset has also enabled the organisation to identify several key themes related to

Among the notable positive observations, many patients praised the effectiveness of triage processes, where those with severe or life-threatening conditions are swiftly identified, and prioritised for care and treatment.

Some patients commended the rapid availability of results, highlighting quick turnaround times for tests and reports that facilitate faster diagnosis and treatment planning.

However, the majority of the negative sentiment reviews focused on prolonged waiting times for non-urgent care in overcrowded waiting rooms, leading to significant dissatisfaction and worsened patient outcomes.

Insufficient hospital capacity, inefficiencies in patient flow, and difficulties in securing timely

Harnessing the power of patient feedback and cutting-edge artificial intelligence, we have gained a better understanding of the underlying factors affecting waiting times and identified the most important areas relating to patient experience to address.

Sanius Health believe this data-driven approach has the potential to transform how the NHS manages waiting lists and enhance overall patient care quality.

The company is continually enhancing its social media listening databank and insights to offer a thorough understanding of waiting time challenges.

The organisation’s goal is to foster a more responsive and efficient healthcare system that effectively addresses the needs of both patients and providers.

For those interested in learning more about Sanius Health’s work and its implications for health services, please contact the team at [email protected].

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